data/pytorch-1.7.0/BUILD.bazel:1586: splitted ==> split
data/pytorch-1.7.0/CITATION:3: Raison ==> Reason, raisin
data/pytorch-1.7.0/CONTRIBUTING.md:193: COO ==> COUP
data/pytorch-1.7.0/README.md:381: Raison ==> Reason, raisin
data/pytorch-1.7.0/setup.py:396: exensions ==> extensions
data/pytorch-1.7.0/.circleci/cimodel/data/binary_build_definitions.py:9: parms ==> params, prams
data/pytorch-1.7.0/.circleci/cimodel/data/binary_build_definitions.py:14: parms ==> params, prams
data/pytorch-1.7.0/.circleci/cimodel/data/binary_build_definitions.py:14: parms ==> params, prams
data/pytorch-1.7.0/.circleci/cimodel/data/binary_build_definitions.py:21: parms ==> params, prams
data/pytorch-1.7.0/.circleci/cimodel/data/pytorch_build_definitions.py:16: parms ==> params, prams
data/pytorch-1.7.0/.circleci/cimodel/data/pytorch_build_definitions.py:65: parms ==> params, prams
data/pytorch-1.7.0/.circleci/cimodel/data/pytorch_build_definitions.py:189: parms ==> params, prams
data/pytorch-1.7.0/.circleci/cimodel/data/pytorch_build_definitions.py:193: parms ==> params, prams
data/pytorch-1.7.0/.circleci/scripts/binary_ios_upload.sh:15: bianry ==> binary
data/pytorch-1.7.0/.circleci/verbatim-sources/job-specs/binary_update_htmls.yml:30: unnescessary ==> unnecessary
data/pytorch-1.7.0/.jenkins/pytorch/test.sh:345: te ==> the, be, we
data/pytorch-1.7.0/.jenkins/pytorch/win-test-helpers/run_python_nn_smoketests.py:56: Reruning ==> Rerunning
data/pytorch-1.7.0/android/test_app/app/src/main/java/org/pytorch/testapp/Constants.java:510: patten ==> pattern, patent
data/pytorch-1.7.0/android/test_app/app/src/main/java/org/pytorch/testapp/Constants.java:517: confectionary ==> confectionery
data/pytorch-1.7.0/android/test_app/app/src/main/java/org/pytorch/testapp/Constants.java:527: crate ==> create
data/pytorch-1.7.0/android/test_app/app/src/main/java/org/pytorch/testapp/Constants.java:637: rouge ==> rogue
data/pytorch-1.7.0/aten/src/README.md:12: THS ==> THE, THIS
data/pytorch-1.7.0/aten/src/ATen/BatchedTensorImpl.cpp:73: publically ==> publicly
data/pytorch-1.7.0/aten/src/ATen/Context.cpp:239: overrided ==> overrode, overridden
data/pytorch-1.7.0/aten/src/ATen/DLConvertor.h:7: convertor ==> converter
data/pytorch-1.7.0/aten/src/ATen/Parallel.h:93: entires ==> entries
data/pytorch-1.7.0/aten/src/ATen/SparseTensorImpl.h:9: COO ==> COUP
data/pytorch-1.7.0/aten/src/ATen/SparseTensorUtils.h:103: nD ==> and, 2nd
data/pytorch-1.7.0/aten/src/ATen/TracerMode.h:30: obect ==> object
data/pytorch-1.7.0/aten/src/ATen/autocast_mode.h:110: explicity ==> explicitly
data/pytorch-1.7.0/aten/src/ATen/record_function.h:387: peice ==> piece
data/pytorch-1.7.0/aten/src/ATen/core/TransformationHelper.h:100: exponentialy ==> exponentially
data/pytorch-1.7.0/aten/src/ATen/core/Variadic.h:17: homogenous ==> homogeneous
data/pytorch-1.7.0/aten/src/ATen/core/function_schema_inl.h:133: keyward ==> keyword
data/pytorch-1.7.0/aten/src/ATen/core/function_schema_inl.h:149: keyward ==> keyword
data/pytorch-1.7.0/aten/src/ATen/core/function_schema_inl.h:150: keyward ==> keyword
data/pytorch-1.7.0/aten/src/ATen/core/function_schema_inl.h:163: keyward ==> keyword
data/pytorch-1.7.0/aten/src/ATen/core/ivalue.cpp:288: Unitialized ==> Uninitialized
data/pytorch-1.7.0/aten/src/ATen/core/ivalue.h:705: Chechs ==> Checks
data/pytorch-1.7.0/aten/src/ATen/core/ivalue_inl.h:327: thats ==> that's
data/pytorch-1.7.0/aten/src/ATen/core/ivalue_inl.h:330: neccessarily ==> necessarily
data/pytorch-1.7.0/aten/src/ATen/core/jit_type.h:133: explictly ==> explicitly
data/pytorch-1.7.0/aten/src/ATen/core/jit_type.h:452: dimentions ==> dimensions
data/pytorch-1.7.0/aten/src/ATen/core/jit_type.h:1897: paramter ==> parameter
data/pytorch-1.7.0/aten/src/ATen/core/jit_type.h:2017: effiency ==> efficiency
data/pytorch-1.7.0/aten/src/ATen/core/jit_type.h:2260: atrributes ==> attributes
data/pytorch-1.7.0/aten/src/ATen/core/type.cpp:494: heterogenous ==> heterogeneous
data/pytorch-1.7.0/aten/src/ATen/core/type.cpp:576: followings ==> following
data/pytorch-1.7.0/aten/src/ATen/core/type.cpp:581: followings ==> following
data/pytorch-1.7.0/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:59: recieve ==> receive
data/pytorch-1.7.0/aten/src/ATen/core/dispatch/DispatchKeyExtractor.h:49: anyting ==> anything
data/pytorch-1.7.0/aten/src/ATen/core/dispatch/Dispatcher.h:363: coresponding ==> corresponding
data/pytorch-1.7.0/aten/src/ATen/core/op_registration/op_registration_test.cpp:165: reenable ==> re-enable
data/pytorch-1.7.0/aten/src/ATen/core/op_registration/op_registration_test.cpp:198: reenable ==> re-enable
data/pytorch-1.7.0/aten/src/ATen/cuda/CUDAApplyUtils.cuh:521: nD ==> and, 2nd
data/pytorch-1.7.0/aten/src/ATen/cuda/detail/TensorInfo.cuh:99: compiletime ==> compile time
data/pytorch-1.7.0/aten/src/ATen/cudnn/Descriptors.h:130: pecularity ==> peculiarity
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:38: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:39: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:39: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:39: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:40: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:41: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:58: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:187: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:188: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:188: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:188: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:189: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:190: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp:204: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:46: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:47: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:47: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:47: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:49: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:50: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:68: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:69: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:264: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:265: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:265: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:265: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:272: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp:275: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/BinaryOps.cpp:704: ambiguious ==> ambiguous
data/pytorch-1.7.0/aten/src/ATen/native/ChanelShuffle.cpp:46: preseve ==> preserve
data/pytorch-1.7.0/aten/src/ATen/native/DistributionTemplates.h:19: arithmetics ==> arithmetic
data/pytorch-1.7.0/aten/src/ATen/native/DistributionTemplates.h:25: arithmetics ==> arithmetic
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:322: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:324: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:325: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:327: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:329: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:330: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:361: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:362: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:391: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:392: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:395: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:397: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:408: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:411: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Distributions.h:414: numer ==> number
data/pytorch-1.7.0/aten/src/ATen/native/Dropout.cpp:83: namepsace ==> namespace
data/pytorch-1.7.0/aten/src/ATen/native/GatedLinearUnit.cpp:17: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/ATen/native/GatedLinearUnit.cpp:18: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/ATen/native/GatedLinearUnit.cpp:19: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/ATen/native/GatedLinearUnit.cpp:21: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/ATen/native/GatedLinearUnit.cpp:43: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/ATen/native/GatedLinearUnit.cpp:44: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/ATen/native/GatedLinearUnit.cpp:45: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/ATen/native/GatedLinearUnit.cpp:48: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/ATen/native/GridSampler.cpp:59: co-ordinates ==> coordinates
data/pytorch-1.7.0/aten/src/ATen/native/GridSampler.cpp:154: neighor ==> neighbor
data/pytorch-1.7.0/aten/src/ATen/native/GridSampler.cpp:231: co-ordinates ==> coordinates
data/pytorch-1.7.0/aten/src/ATen/native/GridSampler.cpp:367: neighor ==> neighbor
data/pytorch-1.7.0/aten/src/ATen/native/GridSampler.cpp:423: co-ordinates ==> coordinates
data/pytorch-1.7.0/aten/src/ATen/native/GridSampler.cpp:476: neighor ==> neighbor
data/pytorch-1.7.0/aten/src/ATen/native/GridSampler.cpp:548: co-ordinates ==> coordinates
data/pytorch-1.7.0/aten/src/ATen/native/GridSampler.cpp:623: neighor ==> neighbor
data/pytorch-1.7.0/aten/src/ATen/native/Linear.cpp:145: consequtive ==> consecutive
data/pytorch-1.7.0/aten/src/ATen/native/Linear.cpp:157: fo ==> of, for
data/pytorch-1.7.0/aten/src/ATen/native/LinearAlgebra.cpp:1094: sigle ==> single, sigil
data/pytorch-1.7.0/aten/src/ATen/native/LinearAlgebra.cpp:1221: implementaion ==> implementation
data/pytorch-1.7.0/aten/src/ATen/native/LinearAlgebra.cpp:1393: fro ==> for, from
data/pytorch-1.7.0/aten/src/ATen/native/LinearAlgebra.cpp:1552: fro ==> for, from
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:137: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:165: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:172: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:183: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:200: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:218: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:263: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:266: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:267: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:294: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:305: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:307: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:317: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:479: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:491: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:501: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:517: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:518: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:535: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:577: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/MaxUnpooling.cpp:586: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/Normalization.cpp:121: struture ==> structure
data/pytorch-1.7.0/aten/src/ATen/native/RNN.cpp:530: compatbility ==> compatibility
data/pytorch-1.7.0/aten/src/ATen/native/ReduceOps.cpp:178: easilly ==> easily
data/pytorch-1.7.0/aten/src/ATen/native/TensorAdvancedIndexing.cpp:8: containg ==> containing
data/pytorch-1.7.0/aten/src/ATen/native/TensorAdvancedIndexing.cpp:779: peformance ==> performance
data/pytorch-1.7.0/aten/src/ATen/native/TensorFactories.cpp:706: sav ==> save
data/pytorch-1.7.0/aten/src/ATen/native/TensorFactories.cpp:708: sav ==> save
data/pytorch-1.7.0/aten/src/ATen/native/TensorIterator.cpp:130: permuation ==> permutation
data/pytorch-1.7.0/aten/src/ATen/native/TensorIteratorDynamicCasting.h:15: utilties ==> utilities
data/pytorch-1.7.0/aten/src/ATen/native/TensorIteratorReduce.cpp:67: thats ==> that's
data/pytorch-1.7.0/aten/src/ATen/native/TensorShape.cpp:942: indicies ==> indices
data/pytorch-1.7.0/aten/src/ATen/native/TensorShape.cpp:1285: THS ==> THE, THIS
data/pytorch-1.7.0/aten/src/ATen/native/cpu/IndexKernel.cpp:66: samll ==> small
data/pytorch-1.7.0/aten/src/ATen/native/cpu/README.md:67: explicity ==> explicitly
data/pytorch-1.7.0/aten/src/ATen/native/cpu/README.md:72: multipled ==> multiplied
data/pytorch-1.7.0/aten/src/ATen/native/cpu/README.md:76: appropiate ==> appropriate
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:218: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:219: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:240: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:241: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:242: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:250: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:251: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:252: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:257: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:258: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:278: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/SumKernel.cpp:279: ans ==> and
data/pytorch-1.7.0/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp:280: Comparision ==> Comparison
data/pytorch-1.7.0/aten/src/ATen/native/cpu/avx_mathfun.h:313: onces ==> ounces, once, ones
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling.cu:509: enought ==> enough
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling.cu:654: enought ==> enough
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:49: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:61: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:65: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:66: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:186: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:187: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:187: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:187: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:188: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:188: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:245: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:257: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:261: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu:262: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveMaxPooling3d.cu:47: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveMaxPooling3d.cu:59: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveMaxPooling3d.cu:63: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/AdaptiveMaxPooling3d.cu:64: ot ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/CuFFTPlanCache.h:82: enought ==> enough
data/pytorch-1.7.0/aten/src/ATen/native/cuda/Dropout.cu:68: halfs ==> halves
data/pytorch-1.7.0/aten/src/ATen/native/cuda/Dropout.cu:131: halfs ==> halves
data/pytorch-1.7.0/aten/src/ATen/native/cuda/GridSampler.cu:52: co-ordinates ==> coordinates
data/pytorch-1.7.0/aten/src/ATen/native/cuda/GridSampler.cu:98: neighor ==> neighbor
data/pytorch-1.7.0/aten/src/ATen/native/cuda/GridSampler.cu:153: co-ordinates ==> coordinates
data/pytorch-1.7.0/aten/src/ATen/native/cuda/GridSampler.cu:246: neighor ==> neighbor
data/pytorch-1.7.0/aten/src/ATen/native/cuda/GridSampler.cu:302: co-ordinates ==> coordinates
data/pytorch-1.7.0/aten/src/ATen/native/cuda/GridSampler.cu:375: neighor ==> neighbor
data/pytorch-1.7.0/aten/src/ATen/native/cuda/GridSampler.cu:443: co-ordinates ==> coordinates
data/pytorch-1.7.0/aten/src/ATen/native/cuda/GridSampler.cu:582: neighor ==> neighbor
data/pytorch-1.7.0/aten/src/ATen/native/cuda/LossCTC.cu:33: witth ==> with
data/pytorch-1.7.0/aten/src/ATen/native/cuda/LossCTC.cu:313: differes ==> differs
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:44: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:55: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:82: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:96: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:196: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:241: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:244: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:245: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:275: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:299: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:306: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:342: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:473: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MaxUnpooling.cu:547: oT ==> to, of, or
data/pytorch-1.7.0/aten/src/ATen/native/cuda/MultinomialKernel.cu:282: unitialized ==> uninitialized
data/pytorch-1.7.0/aten/src/ATen/native/cuda/Reduce.cuh:1006: ouput ==> output
data/pytorch-1.7.0/aten/src/ATen/native/cuda/Reduce.cuh:1006: ouput ==> output
data/pytorch-1.7.0/aten/src/ATen/native/cuda/ScatterGatherKernel.cu:52: essentialy ==> essentially
data/pytorch-1.7.0/aten/src/ATen/native/cuda/SummaryOps.cu:184: hist ==> heist, his
data/pytorch-1.7.0/aten/src/ATen/native/cuda/SummaryOps.cu:187: hist ==> heist, his
data/pytorch-1.7.0/aten/src/ATen/native/cuda/SummaryOps.cu:190: hist ==> heist, his
data/pytorch-1.7.0/aten/src/ATen/native/cuda/Unique.cu:135: indicies ==> indices
data/pytorch-1.7.0/aten/src/ATen/native/cudnn/RNN.cpp:1419: namepsace ==> namespace
data/pytorch-1.7.0/aten/src/ATen/native/miopen/RNN_miopen.cpp:897: namepsace ==> namespace
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qadd.cpp:27: suported ==> supported
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qconv.cpp:111: beyound ==> beyond
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qmul.cpp:157: suported ==> supported
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/kernels/QuantizedOpKernels.cpp:2140: implemenetation ==> implementation
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/kernels/QuantizedOpKernels.cpp:2542: implemntation ==> implementation
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/kernels/QuantizedOpKernels.cpp:2599: implemntation ==> implementation
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/kernels/QuantizedOpKernels.cpp:2664: implemntation ==> implementation
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-android-arm64.sh:56: overridding ==> overriding
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-android-armv7.sh:56: overridding ==> overriding
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-android-x86.sh:56: overridding ==> overriding
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-arm64.sh:43: overridding ==> overriding
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-arm64e.sh:43: overridding ==> overriding
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-armv7.sh:43: overridding ==> overriding
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-armv7s.sh:43: overridding ==> overriding
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-i386.sh:43: overridding ==> overriding
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-x86_64.sh:48: overridding ==> overriding
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-local.sh:30: overridding ==> overriding
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/pack.h:240: wights ==> weights, whites, rights, writes
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/pack.h:362: wights ==> weights, whites, rights, writes
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/src/requantization/q31-scalar.c:96: arithmetics ==> arithmetic
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/test/requantization.cc:20: arithmetics ==> arithmetic
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/test/requantization.cc:86: arithmetics ==> arithmetic
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/test/requantization.cc:152: arithmetics ==> arithmetic
data/pytorch-1.7.0/aten/src/ATen/native/quantized/cpu/qnnpack/test/requantization.cc:305: arithmetics ==> arithmetic
data/pytorch-1.7.0/aten/src/ATen/native/sparse/SoftMax.cpp:158: COO ==> COUP
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:11: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:49: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:79: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:104: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:105: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:106: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:148: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:149: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:150: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:199: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:200: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:201: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:237: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:238: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh:239: indexT ==> index, indent
data/pytorch-1.7.0/aten/src/ATen/native/sparse/cuda/SparseCUDABlas.cu:127: indes ==> index
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/VulkanConvolution.cpp:76: fucntion ==> function
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/Descriptor.h:36: implementatoin ==> implementation
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/Runtime.h:12: intialization ==> initialization
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:124: exacly ==> exactly
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:386: Kepping ==> Keeping
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:984: fullfill ==> fulfill, fulfil
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:1549: unnecesary ==> unnecessary
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:1563: tranfer ==> transfer
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:1865: straming ==> streaming, steaming
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:2752: prefered ==> preferred
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:3222: paramters ==> parameters
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:3296: offseted ==> offsetted
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:3501: Numer ==> Number
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:3651: compation ==> compaction
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:3716: beginnig ==> beginning
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:3750: beginnig ==> beginning
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:3970: availabe ==> available
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:7463: occured ==> occurred
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:9067: fullfill ==> fulfill, fulfil
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:10007: whould ==> would
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:11872: fullfills ==> fulfills
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:15648: becase ==> because
data/pytorch-1.7.0/aten/src/ATen/native/vulkan/api/vk_mem_alloc.h:16453: maching ==> machine, marching, matching
data/pytorch-1.7.0/aten/src/ATen/native/xnnpack/Common.h:84: ND ==> AND, 2ND
data/pytorch-1.7.0/aten/src/ATen/test/half_test.cpp:28: Comparisions ==> Comparisons
data/pytorch-1.7.0/aten/src/ATen/test/rng_test.h:73: froms ==> forms
data/pytorch-1.7.0/aten/src/ATen/test/rng_test.h:76: froms ==> forms
data/pytorch-1.7.0/aten/src/ATen/test/rng_test.h:84: froms ==> forms
data/pytorch-1.7.0/aten/src/ATen/test/rng_test.h:98: froms ==> forms
data/pytorch-1.7.0/aten/src/ATen/test/rng_test.h:120: froms ==> forms
data/pytorch-1.7.0/aten/src/ATen/test/type_test.cpp:25: shoudl ==> should
data/pytorch-1.7.0/aten/src/ATen/test/undefined_tensor_test.cpp:12: errror ==> error
data/pytorch-1.7.0/aten/src/ATen/test/vec256_test_all_types.cpp:7: Arithmetics ==> Arithmetic
data/pytorch-1.7.0/aten/src/ATen/test/vec256_test_all_types.cpp:63: Arithmetics ==> Arithmetic
data/pytorch-1.7.0/aten/src/ATen/test/vec256_test_all_types.cpp:508: Arithmetics ==> Arithmetic
data/pytorch-1.7.0/aten/src/ATen/test/vec256_test_all_types.cpp:520: Arithmetics ==> Arithmetic
data/pytorch-1.7.0/aten/src/ATen/test/vec256_test_all_types.cpp:532: Arithmetics ==> Arithmetic
data/pytorch-1.7.0/aten/src/ATen/test/vec256_test_all_types.cpp:541: Arithmetics ==> Arithmetic
data/pytorch-1.7.0/aten/src/TH/THAllocator.cpp:262: Opperation ==> Operation
data/pytorch-1.7.0/aten/src/TH/THTensorApply.h:251: Calcuate ==> Calculate
data/pytorch-1.7.0/aten/src/TH/THTensorApply.h:253: indexs ==> indexes, indices
data/pytorch-1.7.0/aten/src/TH/THTensorApply.h:259: indexs ==> indexes, indices
data/pytorch-1.7.0/aten/src/TH/THTensorApply.h:265: indexs ==> indexes, indices
data/pytorch-1.7.0/aten/src/TH/THTensorApply.h:265: coresponding ==> corresponding
data/pytorch-1.7.0/aten/src/TH/THTensorApply.h:285: momery ==> memory
data/pytorch-1.7.0/aten/src/TH/THTensorApply.h:293: momery ==> memory
data/pytorch-1.7.0/aten/src/TH/generic/THStorage.h:16: sais ==> says
data/pytorch-1.7.0/aten/src/TH/generic/THTensorMath.h:39: hist ==> heist, his
data/pytorch-1.7.0/aten/src/TH/generic/THTensorMoreMath.cpp:605: hist ==> heist, his
data/pytorch-1.7.0/aten/src/TH/generic/THTensorMoreMath.cpp:614: hist ==> heist, his
data/pytorch-1.7.0/aten/src/TH/generic/THTensorMoreMath.cpp:615: hist ==> heist, his
data/pytorch-1.7.0/aten/src/THC/THCApply.cuh:290: nD ==> and, 2nd
data/pytorch-1.7.0/aten/src/THC/THCApply.cuh:463: nD ==> and, 2nd
data/pytorch-1.7.0/aten/src/THC/THCApply.cuh:683: nD ==> and, 2nd
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:15: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:17: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:23: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:28: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:30: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:32: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:34: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:43: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:50: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:52: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:54: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:54: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:56: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:56: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:68: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:71: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:72: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:91: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:93: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:94: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:97: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:102: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:104: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:105: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:108: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:113: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:115: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:126: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:128: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:133: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:135: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:147: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:149: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:160: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:162: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:168: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:181: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:182: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:183: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:200: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:201: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:208: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:216: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:220: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:222: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:223: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:227: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:228: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:235: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:244: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:249: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:251: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:252: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:256: IndexT ==> index, indent
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data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:266: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:267: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:271: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:276: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:278: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:279: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:298: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:299: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:302: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:322: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:327: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:329: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:330: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:349: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:350: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:352: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:372: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:377: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:379: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:380: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:383: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:384: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:391: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:396: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:398: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:399: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:404: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor-inl.cuh:406: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:20: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:58: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:64: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:66: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:74: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:76: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:82: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:83: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:85: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:86: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:94: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:98: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:103: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:133: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:138: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:157: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:162: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:191: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:198: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:205: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:213: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:220: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:225: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:231: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:243: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:246: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:490: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:492: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:494: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:494: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:501: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:503: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:505: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensor.cuh:505: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:4: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:8: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:12: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:16: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:20: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:23: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:24: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:27: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:30: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:31: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:32: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:35: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:41: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:45: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:49: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:53: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:57: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:60: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:61: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:64: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:67: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:68: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:69: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:72: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:82: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:86: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:88: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:95: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils-inl.cuh:96: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:12: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:13: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:16: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:17: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:19: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:31: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:32: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:35: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:36: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:38: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:48: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:49: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:57: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:58: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:66: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:67: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:70: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCDeviceTensorUtils.cuh:74: IndexT ==> index, indent
data/pytorch-1.7.0/aten/src/THC/THCReduce.cuh:620: nD ==> and, 2nd
data/pytorch-1.7.0/aten/src/THC/THCReduceAll.cuh:311: nD ==> and, 2nd
data/pytorch-1.7.0/aten/src/THC/generic/THCTensorMathReduce.h:13: normall ==> normal, normally
data/pytorch-1.7.0/aten/src/THC/generic/THCTensorTopK.cu:13: suppported ==> supported
data/pytorch-1.7.0/aten/src/THCUNN/generic/GatedLinearUnit.cu:15: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/THCUNN/generic/GatedLinearUnit.cu:16: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/THCUNN/generic/GatedLinearUnit.cu:17: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/THCUNN/generic/GatedLinearUnit.cu:43: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/THCUNN/generic/GatedLinearUnit.cu:44: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/aten/src/THCUNN/generic/GatedLinearUnit.cu:45: nIn ==> inn, min, bin, nine
data/pytorch-1.7.0/benchmarks/compare.sh:3: te ==> the, be, we
data/pytorch-1.7.0/benchmarks/compare.sh:3: te ==> the, be, we
data/pytorch-1.7.0/benchmarks/compare.sh:4: te ==> the, be, we
data/pytorch-1.7.0/benchmarks/distributed/ddp/diff.py:41: ba ==> by, be
data/pytorch-1.7.0/benchmarks/distributed/ddp/diff.py:43: ba ==> by, be
data/pytorch-1.7.0/benchmarks/fastrnns/bench.py:221: te ==> the, be, we
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:199: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:237: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:254: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:282: mimicing ==> mimicking
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:318: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:320: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:357: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:362: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:369: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:382: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:386: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:402: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:411: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:429: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:434: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:455: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/factory.py:460: wih ==> with
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:36: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:39: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:40: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:44: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:44: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:49: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:51: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:53: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:56: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:59: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:63: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:63: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:83: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:86: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:87: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:92: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:92: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:102: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:104: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:107: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:111: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:114: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:118: experim ==> experiment
data/pytorch-1.7.0/benchmarks/fastrnns/test.py:118: experim ==> experiment
data/pytorch-1.7.0/benchmarks/functional_autograd_benchmark/torchvision_models.py:705: accross ==> across
data/pytorch-1.7.0/benchmarks/functional_autograd_benchmark/torchvision_models.py:753: cant ==> can't
data/pytorch-1.7.0/benchmarks/functional_autograd_benchmark/torchvision_models.py:785: ommitted ==> omitted
data/pytorch-1.7.0/benchmarks/functional_autograd_benchmark/torchvision_models.py:791: betwen ==> between
data/pytorch-1.7.0/benchmarks/operator_benchmark/benchmark_core.py:36: addes ==> adds
data/pytorch-1.7.0/benchmarks/operator_benchmark/benchmark_utils.py:83: generat ==> generate, general
data/pytorch-1.7.0/benchmarks/operator_benchmark/benchmark_utils.py:130: producted ==> produced
data/pytorch-1.7.0/benchmarks/operator_benchmark/benchmark_utils.py:137: producted ==> produced
data/pytorch-1.7.0/benchmarks/operator_benchmark/benchmark_utils.py:240: outpus ==> output, outputs
data/pytorch-1.7.0/benchmarks/operator_benchmark/pt/qarithmetic_test.py:8: Reenable ==> Re-enable
data/pytorch-1.7.0/benchmarks/operator_benchmark/pt/qinterpolate_test.py:6: depricated ==> deprecated
data/pytorch-1.7.0/benchmarks/operator_benchmark/pt_extension/cpp_extension_test.py:20: occurance ==> occurrence
data/pytorch-1.7.0/benchmarks/operator_benchmark/pt_extension/cpp_extension_test.py:25: occurance ==> occurrence
data/pytorch-1.7.0/benchmarks/tensorexpr/HowToRun.md:9: te ==> the, be, we
data/pytorch-1.7.0/benchmarks/tensorexpr/__main__.py:95: te ==> the, be, we
data/pytorch-1.7.0/benchmarks/tensorexpr/__main__.py:96: te ==> the, be, we
data/pytorch-1.7.0/benchmarks/tensorexpr/__main__.py:117: te ==> the, be, we
data/pytorch-1.7.0/benchmarks/tensorexpr/benchmark.py:34: overriden ==> overridden
data/pytorch-1.7.0/benchmarks/tensorexpr/benchmark.py:98: defualt ==> default
data/pytorch-1.7.0/benchmarks/tensorexpr/benchmark.py:129: te ==> the, be, we
data/pytorch-1.7.0/binaries/benchmark_helper.h:46: ser ==> set
data/pytorch-1.7.0/binaries/benchmark_helper.h:49: ser ==> set
data/pytorch-1.7.0/binaries/convert_and_benchmark.cc:49: hight ==> height, high
data/pytorch-1.7.0/binaries/convert_and_benchmark.cc:51: imput ==> input
data/pytorch-1.7.0/binaries/convert_image_to_tensor.cc:41: hight ==> height, high
data/pytorch-1.7.0/binaries/convert_image_to_tensor.cc:44: imput ==> input
data/pytorch-1.7.0/binaries/speed_benchmark_torch.cc:49: arugments ==> arguments
data/pytorch-1.7.0/c10/core/DispatchKeySet.h:127: represenation ==> representation
data/pytorch-1.7.0/c10/core/MemoryFormat.h:101: complier ==> compiler
data/pytorch-1.7.0/c10/core/Scalar.cpp:6: suppported ==> supported
data/pytorch-1.7.0/c10/core/ScalarType.h:85: cant ==> can't
data/pytorch-1.7.0/c10/core/ScalarType.h:421: corrent ==> correct, current
data/pytorch-1.7.0/c10/core/TensorImpl.h:22: shrinked ==> shrunk
data/pytorch-1.7.0/c10/core/TensorImpl.h:1133: memeory ==> memory
data/pytorch-1.7.0/c10/core/TensorOptions.h:102: argments ==> arguments
data/pytorch-1.7.0/c10/core/TensorOptions.h:116: compain ==> complain
data/pytorch-1.7.0/c10/cuda/CUDAStream.h:160: Curently ==> Currently
data/pytorch-1.7.0/c10/mobile/CPUCachingAllocator.cpp:64: explicity ==> explicitly
data/pytorch-1.7.0/c10/mobile/CPUCachingAllocator.h:29: corresonding ==> corresponding
data/pytorch-1.7.0/c10/test/core/DispatchKeySet_test.cpp:42: doub ==> doubt, daub
data/pytorch-1.7.0/c10/test/core/DispatchKeySet_test.cpp:43: doub ==> doubt, daub
data/pytorch-1.7.0/c10/test/core/DispatchKeySet_test.cpp:44: doub ==> doubt, daub
data/pytorch-1.7.0/c10/test/core/DispatchKeySet_test.cpp:45: doub ==> doubt, daub
data/pytorch-1.7.0/c10/test/core/DispatchKeySet_test.cpp:46: doub ==> doubt, daub
data/pytorch-1.7.0/c10/test/util/bfloat16_test.cpp:111: Substraction ==> Subtraction
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:666: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:667: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:668: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:670: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:715: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:716: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:717: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:718: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:737: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:738: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:739: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:740: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:759: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:760: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:761: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:763: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:811: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:812: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:813: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:814: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:835: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:836: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:837: ba ==> by, be
data/pytorch-1.7.0/c10/test/util/string_view_test.cpp:838: ba ==> by, be
data/pytorch-1.7.0/c10/util/Flags.h:84: libray ==> library
data/pytorch-1.7.0/c10/util/TypeCast.h:47: undefiend ==> undefined
data/pytorch-1.7.0/c10/util/complex.h:64: convertable ==> convertible
data/pytorch-1.7.0/c10/util/typeid.cpp:64: definied ==> defined
data/pytorch-1.7.0/caffe2/contrib/aten/README.md:3: thats ==> that's
data/pytorch-1.7.0/caffe2/contrib/fakelowp/batch_matmul_fp16_fake_op.cc:26: shpae ==> shape
data/pytorch-1.7.0/caffe2/contrib/fakelowp/fp16_fma_slow.cc:283: aSign ==> assign
data/pytorch-1.7.0/caffe2/contrib/fakelowp/fp16_fma_slow.cc:295: aSign ==> assign
data/pytorch-1.7.0/caffe2/contrib/fakelowp/fp16_fma_slow.cc:329: aSign ==> assign
data/pytorch-1.7.0/caffe2/contrib/fakelowp/int8_swish_op_nnpi.cc:9: Inout ==> Input, in out
data/pytorch-1.7.0/caffe2/contrib/fakelowp/layernorm_fp16_fake_op.h:170: fucntion ==> function
data/pytorch-1.7.0/caffe2/contrib/fakelowp/unary_fp16_fake_op.cc:580: arithmetics ==> arithmetic
data/pytorch-1.7.0/caffe2/contrib/gloo/common_world_ops.h:109: te ==> the, be, we
data/pytorch-1.7.0/caffe2/contrib/gloo/common_world_ops.h:110: te ==> the, be, we
data/pytorch-1.7.0/caffe2/contrib/gloo/common_world_ops.h:111: te ==> the, be, we
data/pytorch-1.7.0/caffe2/contrib/opencl/OpenCL/cl.hpp:1966: stuct ==> struct
data/pytorch-1.7.0/caffe2/contrib/playground/AnyExp.py:17: idividual ==> individual
data/pytorch-1.7.0/caffe2/contrib/playground/AnyExp.py:120: intance ==> instance, intense
data/pytorch-1.7.0/caffe2/contrib/tensorboard/tensorboard.py:168: hist ==> heist, his
data/pytorch-1.7.0/caffe2/contrib/tensorboard/tensorboard.py:177: hist ==> heist, his
data/pytorch-1.7.0/caffe2/contrib/tensorboard/tensorboard.py:193: hist ==> heist, his
data/pytorch-1.7.0/caffe2/contrib/tensorboard/tensorboard.py:199: hist ==> heist, his
data/pytorch-1.7.0/caffe2/contrib/tensorrt/tensorrt_tranformer.cc:471: Asssume ==> Assume
data/pytorch-1.7.0/caffe2/core/blob_serialization.cc:371: intentially ==> intentionally
data/pytorch-1.7.0/caffe2/core/blob_serialization.cc:670: intentially ==> intentionally
data/pytorch-1.7.0/caffe2/core/context_gpu.cu:452: preferrable ==> preferable
data/pytorch-1.7.0/caffe2/core/graph.cc:141: satisified ==> satisfied
data/pytorch-1.7.0/caffe2/core/memonger.cc:524: thats ==> that's
data/pytorch-1.7.0/caffe2/core/net_async_base.cc:57: instread ==> instead
data/pytorch-1.7.0/caffe2/core/net_dag_utils.cc:89: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/core/net_dag_utils.cc:90: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/core/net_dag_utils.cc:91: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/core/net_dag_utils.cc:92: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/core/net_dag_utils.cc:92: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/core/net_dag_utils.cc:93: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/core/net_dag_utils.h:51: aysnc ==> async
data/pytorch-1.7.0/caffe2/core/operator.cc:650: cant ==> can't
data/pytorch-1.7.0/caffe2/core/operator.h:330: Ouptut ==> Output
data/pytorch-1.7.0/caffe2/core/operator_gradient.h:255: fron ==> from
data/pytorch-1.7.0/caffe2/core/stats.h:85: Everytime ==> Every time
data/pytorch-1.7.0/caffe2/core/nomnigraph/include/nomnigraph/Graph/Algorithms.h:144: determing ==> determining, determine
data/pytorch-1.7.0/caffe2/core/nomnigraph/tests/SubgraphMatcherTest.cc:343: Failes ==> Fails
data/pytorch-1.7.0/caffe2/core/nomnigraph/tests/SubgraphMatcherTest.cc:343: exepected ==> expected
data/pytorch-1.7.0/caffe2/cuda_rtc/common_rtc.h:118: namepsace ==> namespace
data/pytorch-1.7.0/caffe2/mobile/contrib/ios/mpscnn/mpscnn_graph_mask.mm:230: aggreagate ==> aggregate
data/pytorch-1.7.0/caffe2/mobile/contrib/libopencl-stub/include/CL/cl.hpp:1873: stuct ==> struct
data/pytorch-1.7.0/caffe2/mobile/contrib/libvulkan-stub/include/vulkan/vulkan.h:2295: pEvent ==> prevent
data/pytorch-1.7.0/caffe2/mobile/contrib/libvulkan-stub/include/vulkan/vulkan.h:2378: pEvents ==> prevents
data/pytorch-1.7.0/caffe2/mobile/contrib/libvulkan-stub/include/vulkan/vulkan.h:2617: pEvent ==> prevent
data/pytorch-1.7.0/caffe2/mobile/contrib/libvulkan-stub/include/vulkan/vulkan.h:3109: pEvents ==> prevents
data/pytorch-1.7.0/caffe2/mobile/contrib/nnapi/NeuralNetworks.h:653: senstive ==> sensitive
data/pytorch-1.7.0/caffe2/mobile/contrib/nnapi/NeuralNetworks.h:1796: whithin ==> within
data/pytorch-1.7.0/caffe2/mobile/contrib/nnapi/NeuralNetworks.h:1862: whithin ==> within
data/pytorch-1.7.0/caffe2/mobile/contrib/ulp2/ulp.cc:164: WQs ==> was
data/pytorch-1.7.0/caffe2/mobile/contrib/ulp2/ulp.cc:165: WQs ==> was
data/pytorch-1.7.0/caffe2/mobile/contrib/ulp2/ulp.cc:170: WQs ==> was
data/pytorch-1.7.0/caffe2/mobile/contrib/ulp2/ulp.cc:171: WQs ==> was
data/pytorch-1.7.0/caffe2/onnx/backend.h:151: tyep ==> type
data/pytorch-1.7.0/caffe2/operators/bisect_percentile_op.cc:18: mappping ==> mapping
data/pytorch-1.7.0/caffe2/operators/conv_op_cudnn.cc:100: Nd ==> And, 2nd
data/pytorch-1.7.0/caffe2/operators/crf_viterbi_op.cc:85: hould ==> hold, should
data/pytorch-1.7.0/caffe2/operators/cross_entropy_op.h:35: Ouptut ==> Output
data/pytorch-1.7.0/caffe2/operators/cross_entropy_op.h:64: Ouptut ==> Output
data/pytorch-1.7.0/caffe2/operators/cross_entropy_op.h:151: Ouptut ==> Output
data/pytorch-1.7.0/caffe2/operators/dataset_ops.cc:1209: reseting ==> resetting
data/pytorch-1.7.0/caffe2/operators/dataset_ops.cc:1510: ser ==> set
data/pytorch-1.7.0/caffe2/operators/dataset_ops.cc:1511: ser ==> set
data/pytorch-1.7.0/caffe2/operators/gather_op.cc:131: othewise ==> otherwise
data/pytorch-1.7.0/caffe2/operators/gather_ranges_to_dense_op.h:127: missmatch ==> mismatch
data/pytorch-1.7.0/caffe2/operators/generate_proposals_op_util_nms.h:244: Specical ==> Special
data/pytorch-1.7.0/caffe2/operators/generate_proposals_op_util_nms.h:349: mimimum ==> minimum
data/pytorch-1.7.0/caffe2/operators/generate_proposals_op_util_nms.h:480: countour ==> contour, counter
data/pytorch-1.7.0/caffe2/operators/gru_unit_op_gpu.cu:18: ND ==> AND, 2ND
data/pytorch-1.7.0/caffe2/operators/gru_unit_op_gpu.cu:26: ND ==> AND, 2ND
data/pytorch-1.7.0/caffe2/operators/gru_unit_op_gpu.cu:27: ND ==> AND, 2ND
data/pytorch-1.7.0/caffe2/operators/gru_unit_op_gpu.cu:46: ND ==> AND, 2ND
data/pytorch-1.7.0/caffe2/operators/gru_unit_op_gpu.cu:57: ND ==> AND, 2ND
data/pytorch-1.7.0/caffe2/operators/h_softmax_op.cc:484: buttom ==> button, bottom
data/pytorch-1.7.0/caffe2/operators/h_softmax_op.cc:630: puls ==> pulse, plus
data/pytorch-1.7.0/caffe2/operators/half_float_ops.cc:43: verion ==> version
data/pytorch-1.7.0/caffe2/operators/index_ops.cc:282: ser ==> set
data/pytorch-1.7.0/caffe2/operators/index_ops.cc:283: ser ==> set
data/pytorch-1.7.0/caffe2/operators/integral_image_op.cc:20: momement ==> moment
data/pytorch-1.7.0/caffe2/operators/integral_image_op.cu:123: momement ==> moment
data/pytorch-1.7.0/caffe2/operators/last_n_window_collector.cc:147: accross ==> across
data/pytorch-1.7.0/caffe2/operators/lengths_reducer_ops.h:306: functinality ==> functionality
data/pytorch-1.7.0/caffe2/operators/lengths_reducer_ops.h:577: iwth ==> with
data/pytorch-1.7.0/caffe2/operators/lengths_reducer_ops.h:645: Calcuate ==> Calculate
data/pytorch-1.7.0/caffe2/operators/lengths_reducer_ops.h:687: Calcuate ==> Calculate
data/pytorch-1.7.0/caffe2/operators/lpnorm_op.cc:145: dout ==> doubt
data/pytorch-1.7.0/caffe2/operators/lpnorm_op.cc:151: dout ==> doubt
data/pytorch-1.7.0/caffe2/operators/map_ops.h:225: ser ==> set
data/pytorch-1.7.0/caffe2/operators/map_ops.h:226: ser ==> set
data/pytorch-1.7.0/caffe2/operators/map_ops.h:228: ser ==> set
data/pytorch-1.7.0/caffe2/operators/onnx_while_op.cc:22: interation ==> iteration, interaction
data/pytorch-1.7.0/caffe2/operators/prefetch_op.h:40: PROGRAMING ==> PROGRAMMING
data/pytorch-1.7.0/caffe2/operators/remove_data_blocks_op.h:32: leat ==> lead, leak, least, leaf
data/pytorch-1.7.0/caffe2/operators/reshape_op.cc:123: emtpy ==> empty
data/pytorch-1.7.0/caffe2/operators/reverse_packed_segs_op.cu:68: lenths ==> lengths
data/pytorch-1.7.0/caffe2/operators/reverse_packed_segs_op.h:53: lenths ==> lengths
data/pytorch-1.7.0/caffe2/operators/rmac_regions_op.cc:122: co-ordinates ==> coordinates
data/pytorch-1.7.0/caffe2/operators/roi_align_op.cc:295: cooresponding ==> corresponding
data/pytorch-1.7.0/caffe2/operators/roi_align_rotated_op.cc:405: cooresponding ==> corresponding
data/pytorch-1.7.0/caffe2/operators/rsqrt_op.cc:46: ND ==> AND, 2ND
data/pytorch-1.7.0/caffe2/operators/rsqrt_op.cc:47: ND ==> AND, 2ND
data/pytorch-1.7.0/caffe2/operators/segment_reduction_op.h:1369: indecies ==> indices
data/pytorch-1.7.0/caffe2/operators/segment_reduction_op_gpu.cu:237: outter ==> outer
data/pytorch-1.7.0/caffe2/operators/sparse_dropout_with_replacement_op.cc:73: consitute ==> constitute
data/pytorch-1.7.0/caffe2/operators/sparse_to_dense_mask_op.cc:58: thise ==> these, this
data/pytorch-1.7.0/caffe2/operators/text_file_reader.cc:108: datas ==> data
data/pytorch-1.7.0/caffe2/operators/text_file_reader.cc:111: datas ==> data
data/pytorch-1.7.0/caffe2/operators/text_file_reader.cc:114: datas ==> data
data/pytorch-1.7.0/caffe2/operators/text_file_reader.cc:139: datas ==> data
data/pytorch-1.7.0/caffe2/operators/text_file_reader_utils.cc:94: reseting ==> resetting
data/pytorch-1.7.0/caffe2/operators/utility_ops.cc:490: dimentions ==> dimensions
data/pytorch-1.7.0/caffe2/operators/utility_ops.cc:714: thes ==> this, these
data/pytorch-1.7.0/caffe2/operators/weighted_multi_sampling_op.cc:87: cummulative ==> cumulative
data/pytorch-1.7.0/caffe2/operators/quantized/int8_roi_align_op.cc:43: cooresponding ==> corresponding
data/pytorch-1.7.0/caffe2/operators/quantized/int8_roi_align_op.h:112: indeces ==> indices
data/pytorch-1.7.0/caffe2/operators/quantized/int8_roi_align_op.h:205: indeces ==> indices
data/pytorch-1.7.0/caffe2/operators/quantized/int8_roi_align_op.h:205: chanels ==> channels
data/pytorch-1.7.0/caffe2/operators/quantized/int8_roi_align_op_test.cc:58: cant ==> can't
data/pytorch-1.7.0/caffe2/operators/rnn/recurrent_network_op.cc:127: probaby ==> probably
data/pytorch-1.7.0/caffe2/operators/rnn/recurrent_network_op.cc:179: antyhing ==> anything
data/pytorch-1.7.0/caffe2/operators/rnn/recurrent_network_op.h:500: offseting ==> offsetting
data/pytorch-1.7.0/caffe2/operators/rnn/recurrent_network_op.h:627: dirrectly ==> directly
data/pytorch-1.7.0/caffe2/operators/rnn/recurrent_network_op.h:712: Offseting ==> Offsetting
data/pytorch-1.7.0/caffe2/operators/rnn/recurrent_network_op.h:786: offseting ==> offsetting
data/pytorch-1.7.0/caffe2/opt/backend_cutting_test.cc:63: intputs ==> inputs
data/pytorch-1.7.0/caffe2/opt/bound_shape_inferencer.cc:324: ouptut ==> output
data/pytorch-1.7.0/caffe2/opt/fakefp16_transform.cc:87: Attemping ==> Attempting
data/pytorch-1.7.0/caffe2/opt/fakefp16_transform.cc:132: Attemping ==> Attempting
data/pytorch-1.7.0/caffe2/opt/onnxifi_op.h:21: outpus ==> output, outputs
data/pytorch-1.7.0/caffe2/opt/onnxifi_op.h:414: writtten ==> written
data/pytorch-1.7.0/caffe2/opt/onnxifi_transformer.cc:941: parition ==> partition
data/pytorch-1.7.0/caffe2/opt/onnxifi_transformer.cc:1458: Asssume ==> Assume
data/pytorch-1.7.0/caffe2/opt/onnxifi_transformer.cc:1486: rewritting ==> rewriting
data/pytorch-1.7.0/caffe2/opt/onnxifi_transformer.h:168: Backned ==> Backend
data/pytorch-1.7.0/caffe2/opt/optimize_ideep.cc:490: Unsupport ==> Unsupported
data/pytorch-1.7.0/caffe2/opt/tvm_transformer.cc:135: Asssume ==> Assume
data/pytorch-1.7.0/caffe2/opt/custom/freeze_quantization_params.h:9: orginated ==> originated
data/pytorch-1.7.0/caffe2/perfkernels/lstm_unit_cpu.h:7: declration ==> declaration
data/pytorch-1.7.0/caffe2/perfkernels/lstm_unit_cpu_avx2.cc:38: fo ==> of, for
data/pytorch-1.7.0/caffe2/perfkernels/lstm_unit_cpu_common.cc:8: fo ==> of, for
data/pytorch-1.7.0/caffe2/predictor/InferenceGraph.h:16: immidiatly ==> immediately
data/pytorch-1.7.0/caffe2/predictor/predictor_config.h:18: nessasary ==> necessary
data/pytorch-1.7.0/caffe2/predictor/transforms.cc:269: apperances ==> appearances
data/pytorch-1.7.0/caffe2/predictor/transforms.cc:287: apperances ==> appearances
data/pytorch-1.7.0/caffe2/proto/caffe2.proto:438: sibiling ==> sibling
data/pytorch-1.7.0/caffe2/python/binarysize.py:145: mininum ==> minimum
data/pytorch-1.7.0/caffe2/python/cached_reader.py:49: registed ==> registered
data/pytorch-1.7.0/caffe2/python/cached_reader.py:96: overwritting ==> overwriting
data/pytorch-1.7.0/caffe2/python/cached_reader.py:97: Overwise ==> Otherwise
data/pytorch-1.7.0/caffe2/python/cached_reader.py:104: overwritting ==> overwriting
data/pytorch-1.7.0/caffe2/python/checkpoint.py:692: choises ==> choices
data/pytorch-1.7.0/caffe2/python/control.py:535: executred ==> executed
data/pytorch-1.7.0/caffe2/python/core.py:2269: everytime ==> every time
data/pytorch-1.7.0/caffe2/python/core.py:2382: fucntion ==> function
data/pytorch-1.7.0/caffe2/python/core.py:2558: funcitons ==> functions
data/pytorch-1.7.0/caffe2/python/core.py:2832: curerntly ==> currently
data/pytorch-1.7.0/caffe2/python/crf.py:282: udpates ==> updates
data/pytorch-1.7.0/caffe2/python/crf.py:285: arbitray ==> arbitrary
data/pytorch-1.7.0/caffe2/python/data_parallel_model.py:1599: outputing ==> outputting
data/pytorch-1.7.0/caffe2/python/dataio.py:73: soruce ==> source, spruce
data/pytorch-1.7.0/caffe2/python/dataio.py:86: succesfull ==> successful
data/pytorch-1.7.0/caffe2/python/dataio.py:99: resetted ==> reset
data/pytorch-1.7.0/caffe2/python/dataio.py:322: exausted ==> exhausted
data/pytorch-1.7.0/caffe2/python/dataset.py:142: appeneded ==> appended
data/pytorch-1.7.0/caffe2/python/db_file_reader.py:27: registed ==> registered
data/pytorch-1.7.0/caffe2/python/db_file_reader.py:82: Overwise ==> Otherwise
data/pytorch-1.7.0/caffe2/python/db_file_reader.py:132: creats ==> creates
data/pytorch-1.7.0/caffe2/python/hypothesis_test.py:2679: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/hypothesis_test.py:2690: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/hypothesis_test.py:2691: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/hypothesis_test.py:2691: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/layer_model_helper.py:78: schmea ==> schema
data/pytorch-1.7.0/caffe2/python/lazy_dyndep.py:53: recomended ==> recommended
data/pytorch-1.7.0/caffe2/python/memonger.py:738: Sharable ==> Shareable
data/pytorch-1.7.0/caffe2/python/memonger.py:740: sharable ==> shareable
data/pytorch-1.7.0/caffe2/python/memonger.py:743: sharable ==> shareable
data/pytorch-1.7.0/caffe2/python/model_helper.py:78: manange ==> manage
data/pytorch-1.7.0/caffe2/python/net_builder.py:62: immediatelly ==> immediately
data/pytorch-1.7.0/caffe2/python/normalizer.py:19: Impelemented ==> Implemented
data/pytorch-1.7.0/caffe2/python/operator_fp_exceptions_test.py:19: followings ==> following
data/pytorch-1.7.0/caffe2/python/recurrent.py:19: fasion ==> fashion
data/pytorch-1.7.0/caffe2/python/recurrent.py:23: dimentions ==> dimensions
data/pytorch-1.7.0/caffe2/python/recurrent.py:285: propogation ==> propagation
data/pytorch-1.7.0/caffe2/python/regularizer.py:209: interger ==> integer
data/pytorch-1.7.0/caffe2/python/rnn_cell.py:55: provice ==> provide, province
data/pytorch-1.7.0/caffe2/python/rnn_cell.py:995: convereted ==> converted
data/pytorch-1.7.0/caffe2/python/rnn_cell.py:1291: dureing ==> during
data/pytorch-1.7.0/caffe2/python/schema.py:180: Equivalance ==> Equivalence
data/pytorch-1.7.0/caffe2/python/task.py:425: Retrive ==> Retrieve
data/pytorch-1.7.0/caffe2/python/tt_core.py:44: concatentated ==> concatenated
data/pytorch-1.7.0/caffe2/python/tt_core.py:130: concatentated ==> concatenated
data/pytorch-1.7.0/caffe2/python/tt_core.py:208: concatentated ==> concatenated
data/pytorch-1.7.0/caffe2/python/utils.py:402: ans ==> and
data/pytorch-1.7.0/caffe2/python/utils.py:410: ans ==> and
data/pytorch-1.7.0/caffe2/python/utils.py:415: ans ==> and
data/pytorch-1.7.0/caffe2/python/utils.py:418: ans ==> and
data/pytorch-1.7.0/caffe2/python/utils.py:419: ans ==> and
data/pytorch-1.7.0/caffe2/python/examples/char_rnn.py:94: Thats ==> That's
data/pytorch-1.7.0/caffe2/python/layers/fc_with_bootstrap.py:180: interation ==> iteration, interaction
data/pytorch-1.7.0/caffe2/python/layers/feature_sparse_to_dense.py:174: clonning ==> cloning
data/pytorch-1.7.0/caffe2/python/layers/tags.py:47: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/python/mkl/rewrite_graph.py:33: Chaning ==> Chaining, changing
data/pytorch-1.7.0/caffe2/python/mkl/rewrite_graph.py:90: execuate ==> execute
data/pytorch-1.7.0/caffe2/python/modeling/compute_histogram_for_blobs.py:59: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/modeling/compute_histogram_for_blobs.py:64: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/modeling/compute_histogram_for_blobs.py:70: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/modeling/compute_histogram_for_blobs_test.py:21: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/modeling/compute_histogram_for_blobs_test.py:32: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/modeling/compute_histogram_for_blobs_test.py:34: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/onnx/backend.py:689: initalized ==> initialized
data/pytorch-1.7.0/caffe2/python/onnx/backend.py:938: unspported ==> unsupported
data/pytorch-1.7.0/caffe2/python/onnx/helper.py:118: te ==> the, be, we
data/pytorch-1.7.0/caffe2/python/onnx/helper.py:119: te ==> the, be, we
data/pytorch-1.7.0/caffe2/python/operator_test/atomic_ops_test.py:17: trully ==> truly
data/pytorch-1.7.0/caffe2/python/operator_test/atomic_ops_test.py:56: trully ==> truly
data/pytorch-1.7.0/caffe2/python/operator_test/dataset_ops_test.py:647: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/operator_test/dataset_ops_test.py:652: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/operator_test/dataset_ops_test.py:654: hist ==> heist, his
data/pytorch-1.7.0/caffe2/python/operator_test/fused_nbit_rowwise_test_helper.py:7: resuling ==> resulting
data/pytorch-1.7.0/caffe2/python/operator_test/pooling_test.py:369: ND ==> AND, 2ND
data/pytorch-1.7.0/caffe2/python/operator_test/pooling_test.py:433: ND ==> AND, 2ND
data/pytorch-1.7.0/caffe2/python/operator_test/recurrent_network_test.py:127: conviniently ==> conveniently
data/pytorch-1.7.0/caffe2/python/operator_test/recurrent_network_test.py:270: offseting ==> offsetting
data/pytorch-1.7.0/caffe2/python/operator_test/rnn_cell_test.py:1700: ans ==> and
data/pytorch-1.7.0/caffe2/python/trt/test_trt.py:44: retrival ==> retrieval, retrial
data/pytorch-1.7.0/caffe2/python/trt/data/class_labels.txt:520: crate ==> create
data/pytorch-1.7.0/caffe2/quantization/server/README.md:23: idential ==> identical
data/pytorch-1.7.0/caffe2/quantization/server/README.md:84: inter-operability ==> interoperability
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:461: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:567: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:608: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:681: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:683: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:761: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:763: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:767: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:768: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:774: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:776: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:777: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:778: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:829: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/activation_distribution_observer.cc:835: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/caffe2_dnnlowp_utils.cc:469: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/caffe2_dnnlowp_utils.cc:471: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/caffe2_dnnlowp_utils.cc:475: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/caffe2_dnnlowp_utils.cc:476: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/caffe2_dnnlowp_utils.cc:482: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/caffe2_dnnlowp_utils.cc:484: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/caffe2_dnnlowp_utils.cc:485: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/caffe2_dnnlowp_utils.cc:486: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/caffe2_dnnlowp_utils.cc:537: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/caffe2_dnnlowp_utils.cc:542: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/conv_dnnlowp_op_test.py:99: atleast ==> at least
data/pytorch-1.7.0/caffe2/quantization/server/conv_dnnlowp_op_test.py:357: atleast ==> at least
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:183: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:191: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:194: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:197: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:200: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:203: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:207: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:207: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:212: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:216: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:223: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:251: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:253: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:256: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:298: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:299: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:300: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.cc:301: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.h:93: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.h:100: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/dnnlowp.h:200: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/fbgemm_pack_op.cc:355: outputing ==> outputting
data/pytorch-1.7.0/caffe2/quantization/server/int8_gen_quant_params_test.py:55: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/int8_gen_quant_params_test.py:57: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization.cc:9: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization.cc:12: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization.cc:15: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization.cc:15: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization.cc:167: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization.cc:168: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization.h:13: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization_example.cc:24: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization_example.cc:31: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization_example.cc:37: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization_example.cc:42: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/kl_minimization_example.cc:45: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/l1_minimization_example.cc:28: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l1_minimization_example.cc:35: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l1_minimization_example.cc:43: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l1_minimization_example.cc:48: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_approx_example.cc:28: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_approx_example.cc:35: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_approx_example.cc:43: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_approx_example.cc:48: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_example.cc:28: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_example.cc:35: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_example.cc:43: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_example.cc:48: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_test.cc:40: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_test.cc:41: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_test.cc:46: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_test.cc:51: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/l2_minimization_test.cc:57: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/norm_minimization.cc:47: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/norm_minimization.cc:52: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/norm_minimization.cc:57: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/norm_minimization.cc:184: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/norm_minimization.cc:189: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/observer_test.py:31: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/p99.cc:10: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/p99.cc:15: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/p99_example.cc:21: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/p99_example.cc:28: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/p99_example.cc:34: ist ==> is, it, its, it's, sit, list
data/pytorch-1.7.0/caffe2/quantization/server/p99_example.cc:39: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/p99_example.cc:40: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/pybind.cc:308: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/pybind.cc:333: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/quantization_error_minimization.h:10: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/quantization_error_minimization.h:29: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/quantization_error_minimization.h:34: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/quantization_error_minimization.h:52: hist ==> heist, his
data/pytorch-1.7.0/caffe2/quantization/server/utils.py:53: interferring ==> interfering
data/pytorch-1.7.0/caffe2/quantization/server/utils.py:69: interferring ==> interfering
data/pytorch-1.7.0/caffe2/quantization/server/utils.py:271: interferring ==> interfering
data/pytorch-1.7.0/caffe2/queue/rebatching_queue_ops.cc:51: enque ==> enqueue
data/pytorch-1.7.0/caffe2/serialize/crc_alt.h:41: algoritm ==> algorithm
data/pytorch-1.7.0/caffe2/serialize/crc_alt.h:99: endianess ==> endianness
data/pytorch-1.7.0/caffe2/serialize/crc_alt.h:160: endianess ==> endianness
data/pytorch-1.7.0/caffe2/serialize/crc_alt.h:221: algoritm ==> algorithm
data/pytorch-1.7.0/caffe2/serialize/crc_alt.h:654: someting ==> something
data/pytorch-1.7.0/caffe2/serialize/inline_container.h:76: indicies ==> indices
data/pytorch-1.7.0/caffe2/sgd/adadelta_op.h:19: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/sgd/adadelta_op.h:27: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/sgd/adadelta_op_gpu.cu:20: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/sgd/adadelta_op_gpu.cu:27: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/sgd/adadelta_op_gpu.cu:43: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/sgd/adadelta_op_gpu.cu:49: nd ==> and, 2nd
data/pytorch-1.7.0/caffe2/sgd/iter_op.cc:45: singe ==> single
data/pytorch-1.7.0/caffe2/video/video_decoder.cc:365: outputed ==> outputted
data/pytorch-1.7.0/caffe2/video/video_decoder.h:105: origianl ==> original
data/pytorch-1.7.0/caffe2/video/video_input_op.h:651: jitterring ==> jittering
data/pytorch-1.7.0/cmake/Codegen.cmake:116: capabilites ==> capabilities
data/pytorch-1.7.0/cmake/iOS.cmake:103: visibilty ==> visibility
data/pytorch-1.7.0/cmake/Dependencies.cmake:642: Cacheing ==> Caching
data/pytorch-1.7.0/cmake/Dependencies.cmake:1284: diretory ==> directory
data/pytorch-1.7.0/cmake/Modules_CUDA_fix/upstream/FindCUDA/run_nvcc.cmake:159: excape ==> escape
data/pytorch-1.7.0/cmake/public/LoadHIP.cmake:29: hsa ==> has
data/pytorch-1.7.0/cmake/public/LoadHIP.cmake:207: hsa ==> has
data/pytorch-1.7.0/cmake/public/cuda.cmake:375: namepsace ==> namespace
data/pytorch-1.7.0/docs/caffe2/main.css:1: nd ==> and, 2nd
data/pytorch-1.7.0/docs/cpp/source/notes/tensor_basics.rst:4: thats ==> that's
data/pytorch-1.7.0/docs/source/distributed.rst:278: pacakge ==> package
data/pytorch-1.7.0/docs/source/jit_language_reference.rst:378: heterogenous ==> heterogeneous
data/pytorch-1.7.0/docs/source/jit_language_reference.rst:887: explicilty ==> explicitly
data/pytorch-1.7.0/docs/source/quantization.rst:210: assymetric ==> asymmetric
data/pytorch-1.7.0/docs/source/quantization.rst:305: assymetric ==> asymmetric
data/pytorch-1.7.0/docs/source/sparse.rst:12: COO ==> COUP
data/pytorch-1.7.0/docs/source/tensor_attributes.rst:214: COO ==> COUP
data/pytorch-1.7.0/docs/source/tensor_view.rst:29: unncessary ==> unnecessary
data/pytorch-1.7.0/docs/source/notes/extending.rst:424: overrided ==> overrode, overridden
data/pytorch-1.7.0/docs/source/notes/extending.rst:427: overrided ==> overrode, overridden
data/pytorch-1.7.0/docs/source/notes/extending.rst:610: overriden ==> overridden
data/pytorch-1.7.0/docs/source/notes/extending.rst:612: overriden ==> overridden
data/pytorch-1.7.0/docs/source/notes/extending.rst:639: overrided ==> overrode, overridden
data/pytorch-1.7.0/docs/source/notes/extending.rst:641: overriden ==> overridden
data/pytorch-1.7.0/ios/TestApp/Gemfile.lock:118: rouge ==> rogue
data/pytorch-1.7.0/ios/TestApp/Gemfile.lock:150: rouge ==> rogue
data/pytorch-1.7.0/modules/detectron/ps_roi_pool_op.cc:61: cooresponding ==> corresponding
data/pytorch-1.7.0/modules/detectron/roi_pool_f_op.cc:55: cooresponding ==> corresponding
data/pytorch-1.7.0/modules/detectron/smooth_l1_loss_op.cu:131: intentially ==> intentionally
data/pytorch-1.7.0/modules/observers/perf_observer.cc:125: numer ==> number
data/pytorch-1.7.0/scripts/build_android.sh:144: overridding ==> overriding
data/pytorch-1.7.0/scripts/build_mobile.sh:53: overridding ==> overriding
data/pytorch-1.7.0/scripts/xcode_build.rb:47: sepecify ==> specify
data/pytorch-1.7.0/test/test_autograd.py:2016: deatch ==> detach
data/pytorch-1.7.0/test/test_autograd.py:2373: finishs ==> finishes
data/pytorch-1.7.0/test/test_autograd.py:6577: doen't ==> doesn't
data/pytorch-1.7.0/test/test_autograd.py:6725: finishs ==> finishes
data/pytorch-1.7.0/test/test_autograd.py:6730: finishs ==> finishes
data/pytorch-1.7.0/test/test_autograd.py:6737: finishs ==> finishes
data/pytorch-1.7.0/test/test_cpp_extensions_aot.py:126: overriden ==> overridden
data/pytorch-1.7.0/test/test_cpp_extensions_aot.py:132: overriden ==> overridden
data/pytorch-1.7.0/test/test_cpp_extensions_jit.py:741: catched ==> caught
data/pytorch-1.7.0/test/test_cpp_extensions_jit.py:771: Catched ==> Caught
data/pytorch-1.7.0/test/test_cpp_extensions_jit.py:775: Catched ==> Caught
data/pytorch-1.7.0/test/test_cpp_extensions_jit.py:780: Catched ==> Caught
data/pytorch-1.7.0/test/test_cpp_extensions_jit.py:785: Catched ==> Caught
data/pytorch-1.7.0/test/test_dataloader.py:420: sleeped ==> slept
data/pytorch-1.7.0/test/test_dataloader.py:423: sleeped ==> slept
data/pytorch-1.7.0/test/test_dataloader.py:425: sleeped ==> slept
data/pytorch-1.7.0/test/test_foreach.py:597: Coresponding ==> Corresponding
data/pytorch-1.7.0/test/test_fx.py:362: speficied ==> specified
data/pytorch-1.7.0/test/test_fx.py:406: ser ==> set
data/pytorch-1.7.0/test/test_jit.py:159: TE ==> THE, BE, WE
data/pytorch-1.7.0/test/test_jit.py:4403: doesnt ==> doesn't, does not
data/pytorch-1.7.0/test/test_jit.py:7722: unitialized ==> uninitialized
data/pytorch-1.7.0/test/test_jit.py:8823: fro ==> for, from
data/pytorch-1.7.0/test/test_jit.py:9763: isnt ==> isn't
data/pytorch-1.7.0/test/test_jit.py:14075: useable ==> usable
data/pytorch-1.7.0/test/test_jit.py:14139: useable ==> usable
data/pytorch-1.7.0/test/test_jit.py:14885: nonexistant ==> nonexistent
data/pytorch-1.7.0/test/test_jit.py:15387: Similary ==> Similarly
data/pytorch-1.7.0/test/test_jit_fuser_te.py:414: reenable ==> re-enable
data/pytorch-1.7.0/test/test_jit_fuser_te.py:667: TE ==> THE, BE, WE
data/pytorch-1.7.0/test/test_jit_fuser_te.py:683: TE ==> THE, BE, WE
data/pytorch-1.7.0/test/test_jit_fuser_te.py:722: TE ==> THE, BE, WE
data/pytorch-1.7.0/test/test_jit_fuser_te.py:938: TE ==> THE, BE, WE
data/pytorch-1.7.0/test/test_jit_fuser_te.py:978: TE ==> THE, BE, WE
data/pytorch-1.7.0/test/test_jit_fuser_te.py:1145: Reenable ==> Re-enable
data/pytorch-1.7.0/test/test_jit_fuser_te.py:1145: TE ==> THE, BE, WE
data/pytorch-1.7.0/test/test_jit_fuser_te.py:1171: reenable ==> re-enable
data/pytorch-1.7.0/test/test_jit_fuser_te.py:1201: TE ==> THE, BE, WE
data/pytorch-1.7.0/test/test_linalg.py:422: fro ==> for, from
data/pytorch-1.7.0/test/test_linalg.py:427: fro ==> for, from
data/pytorch-1.7.0/test/test_multiprocessing.py:632: nofity ==> notify
data/pytorch-1.7.0/test/test_namedtensor.py:1812: ND ==> AND, 2ND
data/pytorch-1.7.0/test/test_namedtensor.py:1822: ND ==> AND, 2ND
data/pytorch-1.7.0/test/test_namedtensor.py:1842: ND ==> AND, 2ND
data/pytorch-1.7.0/test/test_namedtensor.py:1842: ND ==> AND, 2ND
data/pytorch-1.7.0/test/test_nn.py:1073: expection ==> exception
data/pytorch-1.7.0/test/test_nn.py:2272: consistenly ==> consistently
data/pytorch-1.7.0/test/test_nn.py:8280: precison ==> precision
data/pytorch-1.7.0/test/test_overrides.py:58: defintion ==> definition
data/pytorch-1.7.0/test/test_overrides.py:347: overriden ==> overridden
data/pytorch-1.7.0/test/test_overrides.py:360: overrided ==> overrode, overridden
data/pytorch-1.7.0/test/test_overrides.py:372: overrided ==> overrode, overridden
data/pytorch-1.7.0/test/test_overrides.py:403: arugments ==> arguments
data/pytorch-1.7.0/test/test_package.py:251: convension ==> convention, conversion
data/pytorch-1.7.0/test/test_package.py:275: convension ==> convention, conversion
data/pytorch-1.7.0/test/test_serialization.py:504: effiency ==> efficiency
data/pytorch-1.7.0/test/test_torch.py:2206: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:2207: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:2208: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:2211: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:2212: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:2213: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:2214: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:4215: imput ==> input
data/pytorch-1.7.0/test/test_torch.py:4983: occuring ==> occurring
data/pytorch-1.7.0/test/test_torch.py:4992: occuring ==> occurring
data/pytorch-1.7.0/test/test_torch.py:8100: implementd ==> implemented
data/pytorch-1.7.0/test/test_torch.py:8490: halfs ==> halves
data/pytorch-1.7.0/test/test_torch.py:9334: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:9335: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:9335: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:9335: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:10047: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:10048: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:10049: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:10050: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:10053: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:10054: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:10055: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:10056: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:10057: ans ==> and
data/pytorch-1.7.0/test/test_torch.py:11799: cummulative ==> cumulative
data/pytorch-1.7.0/test/test_torch.py:11847: cummulative ==> cumulative
data/pytorch-1.7.0/test/test_torch.py:16046: ba ==> by, be
data/pytorch-1.7.0/test/test_torch.py:16284: te ==> the, be, we
data/pytorch-1.7.0/test/test_torch.py:16286: te ==> the, be, we
data/pytorch-1.7.0/test/test_torch.py:16289: te ==> the, be, we
data/pytorch-1.7.0/test/test_torch.py:16520: choosed ==> chose, chosen
data/pytorch-1.7.0/test/test_torch.py:16602: tolerence ==> tolerance
data/pytorch-1.7.0/test/test_torch.py:17905: froms ==> forms
data/pytorch-1.7.0/test/test_torch.py:17908: froms ==> forms
data/pytorch-1.7.0/test/test_torch.py:17982: froms ==> forms
data/pytorch-1.7.0/test/test_torch.py:17987: froms ==> forms
data/pytorch-1.7.0/test/test_torch.py:17992: froms ==> forms
data/pytorch-1.7.0/test/test_torch.py:17997: froms ==> forms
data/pytorch-1.7.0/test/test_torch.py:18002: froms ==> forms
data/pytorch-1.7.0/test/test_torch.py:18016: froms ==> forms
data/pytorch-1.7.0/test/test_torch.py:18241: borken ==> broken
data/pytorch-1.7.0/test/test_torch.py:18480: incompatiable ==> incompatible
data/pytorch-1.7.0/test/test_torch.py:18852: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_torch.py:18853: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_torch.py:18856: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_torch.py:18860: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_torch.py:18862: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_torch.py:18864: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_torch.py:18865: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_torch.py:18872: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_torch.py:18877: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_torch.py:18880: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_torch.py:18880: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_torch.py:18882: nd ==> and, 2nd
data/pytorch-1.7.0/test/test_type_promotion.py:351: Unkonwn ==> Unknown
data/pytorch-1.7.0/test/test_unary_ufuncs.py:73: constracted ==> constructed
data/pytorch-1.7.0/test/test_unary_ufuncs.py:244: discontiguities ==> discontinuities
data/pytorch-1.7.0/test/cpp/api/dataloader.cpp:1991: sequencial ==> sequential
data/pytorch-1.7.0/test/cpp/api/dataloader.cpp:2113: Repeatly ==> Repeatedly
data/pytorch-1.7.0/test/cpp/api/parameterlist.cpp:100: te ==> the, be, we
data/pytorch-1.7.0/test/cpp/api/parameterlist.cpp:116: te ==> the, be, we
data/pytorch-1.7.0/test/cpp/api/parameterlist.cpp:122: te ==> the, be, we
data/pytorch-1.7.0/test/cpp/api/parameterlist.cpp:145: te ==> the, be, we
data/pytorch-1.7.0/test/cpp/api/parameterlist.cpp:148: te ==> the, be, we
data/pytorch-1.7.0/test/cpp/api/parameterlist.cpp:149: te ==> the, be, we
data/pytorch-1.7.0/test/cpp/api/parameterlist.cpp:156: te ==> the, be, we
data/pytorch-1.7.0/test/cpp/api/transformer.cpp:56: should't ==> shouldn't
data/pytorch-1.7.0/test/cpp/jit/test_custom_class_registrations.cpp:156: Ser ==> Set
data/pytorch-1.7.0/test/cpp/jit/test_custom_class_registrations.cpp:161: ser ==> set
data/pytorch-1.7.0/test/cpp/jit/test_gpu.cpp:1867: dimenionality ==> dimensionality
data/pytorch-1.7.0/test/cpp/jit/test_gpu.cpp:1956: dimenionality ==> dimensionality
data/pytorch-1.7.0/test/cpp/rpc/test_wire_serialization.cpp:46: ser ==> set
data/pytorch-1.7.0/test/cpp/rpc/test_wire_serialization.cpp:47: ser ==> set
data/pytorch-1.7.0/test/cpp/rpc/test_wire_serialization.cpp:47: ser ==> set
data/pytorch-1.7.0/test/cpp/rpc/test_wire_serialization.cpp:49: ser ==> set
data/pytorch-1.7.0/test/cpp/rpc/test_wire_serialization.cpp:99: ser ==> set
data/pytorch-1.7.0/test/cpp/rpc/test_wire_serialization.cpp:100: ser ==> set
data/pytorch-1.7.0/test/cpp/rpc/test_wire_serialization.cpp:100: ser ==> set
data/pytorch-1.7.0/test/cpp/tensorexpr/test_cuda.cpp:1614: incase ==> in case
data/pytorch-1.7.0/test/cpp/tensorexpr/test_cuda.cpp:1888: dimenions ==> dimensions
data/pytorch-1.7.0/test/cpp/tensorexpr/test_cuda.cpp:2064: agaist ==> against
data/pytorch-1.7.0/test/cpp/tensorexpr/test_reductions.cpp:302: initalizer ==> initializer
data/pytorch-1.7.0/test/cpp/tensorexpr/test_registerizer.cpp:313: sclar ==> scalar
data/pytorch-1.7.0/test/cpp/tensorexpr/test_simplify.cpp:2158: wont ==> won't
data/pytorch-1.7.0/test/cpp/tensorexpr/test_simplify.cpp:2311: wont ==> won't
data/pytorch-1.7.0/test/cpp/tensorexpr/test_simplify.cpp:2328: wont ==> won't
data/pytorch-1.7.0/test/cpp/tensorexpr/test_simplify.cpp:2347: wont ==> won't
data/pytorch-1.7.0/test/cpp/tensorexpr/test_simplify.cpp:2365: wont ==> won't
data/pytorch-1.7.0/test/cpp/tensorexpr/test_simplify.cpp:3423: wih ==> with
data/pytorch-1.7.0/test/cpp/tensorexpr/test_simplify.cpp:3811: wont ==> won't
data/pytorch-1.7.0/test/cpp/tensorexpr/test_train.h:27: TE ==> THE, BE, WE
data/pytorch-1.7.0/test/distributed/test_c10d.py:549: nonexistant ==> nonexistent
data/pytorch-1.7.0/test/distributed/test_c10d.py:929: interation ==> iteration, interaction
data/pytorch-1.7.0/test/distributed/test_c10d.py:3301: Reenable ==> Re-enable
data/pytorch-1.7.0/test/distributed/test_c10d.py:4061: idential ==> identical
data/pytorch-1.7.0/test/jit/test_freezing.py:516: becasue ==> because
data/pytorch-1.7.0/test/jit/test_remove_mutation.py:20: doesnt ==> doesn't, does not
data/pytorch-1.7.0/test/jit/test_remove_mutation.py:224: doesnt ==> doesn't, does not
data/pytorch-1.7.0/test/onnx/test_operators.py:819: fro ==> for, from
data/pytorch-1.7.0/test/onnx/test_pytorch_onnx_onnxruntime.py:952: avaiable ==> available
data/pytorch-1.7.0/test/onnx/test_pytorch_onnx_onnxruntime.py:1881: outout ==> output
data/pytorch-1.7.0/test/onnx/test_pytorch_onnx_onnxruntime.py:2633: supprted ==> supported
data/pytorch-1.7.0/test/onnx/test_pytorch_onnx_onnxruntime.py:3137: Emtpy ==> Empty
data/pytorch-1.7.0/test/onnx/test_pytorch_onnx_onnxruntime.py:3142: Emtpy ==> Empty
data/pytorch-1.7.0/test/onnx/test_pytorch_onnx_onnxruntime.py:3363: fro ==> for, from
data/pytorch-1.7.0/test/onnx/test_pytorch_onnx_onnxruntime.py:3371: fro ==> for, from
data/pytorch-1.7.0/test/onnx/expect/TestOperators.test_conv.expect:51: tE ==> the, be, we
data/pytorch-1.7.0/test/onnx/expect/TestOperators.test_conv_onnx_irv4.expect:51: tE ==> the, be, we
data/pytorch-1.7.0/test/quantization/test_backward_compatibility.py:47: compatiblity ==> compatibility
data/pytorch-1.7.0/test/quantization/test_qat_module.py:322: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_qat_module.py:323: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_qat_module.py:332: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_qat_module.py:472: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_qat_module.py:474: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_qat_module.py:484: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_quantize.py:1110: conver ==> convert
data/pytorch-1.7.0/test/quantization/test_quantized_op.py:156: Retrives ==> Retrieves
data/pytorch-1.7.0/test/quantization/test_quantized_tensor.py:347: orignal ==> original
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:814: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:816: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:817: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:860: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:862: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:863: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:946: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:948: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:949: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1034: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1035: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1036: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1228: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1230: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1231: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1253: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1255: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1256: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1344: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1346: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1347: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1407: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1408: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1409: dout ==> doubt
data/pytorch-1.7.0/test/quantization/test_workflow_module.py:1570: convering ==> converting, covering
data/pytorch-1.7.0/test/scripts/cuda_memcheck_common.py:50: splitted ==> split
data/pytorch-1.7.0/third_party/miniz-2.0.8/miniz.c:714: hist ==> heist, his
data/pytorch-1.7.0/third_party/miniz-2.0.8/miniz.c:716: hist ==> heist, his
data/pytorch-1.7.0/third_party/miniz-2.0.8/miniz.c:720: hist ==> heist, his
data/pytorch-1.7.0/third_party/miniz-2.0.8/miniz.c:721: hist ==> heist, his
data/pytorch-1.7.0/third_party/miniz-2.0.8/miniz.c:723: hist ==> heist, his
data/pytorch-1.7.0/third_party/miniz-2.0.8/miniz.c:727: hist ==> heist, his
data/pytorch-1.7.0/third_party/miniz-2.0.8/miniz.h:175: anyawy ==> anyway
data/pytorch-1.7.0/third_party/miniz-2.0.8/miniz.h:1293: poiner ==> pointer
data/pytorch-1.7.0/third_party/valgrind-headers/valgrind.h:1151: equivalance ==> equivalence
data/pytorch-1.7.0/third_party/valgrind-headers/valgrind.h:1749: nastyness ==> nastiness
data/pytorch-1.7.0/tools/nightly.py:213: conetxt ==> context, connect
data/pytorch-1.7.0/tools/nightly.py:375: Get's ==> Gets
data/pytorch-1.7.0/tools/autograd/derivatives.yaml:143: consequentially ==> consequently
data/pytorch-1.7.0/tools/autograd/derivatives.yaml:1687: Unfortuantely ==> Unfortunately
data/pytorch-1.7.0/tools/autograd/gen_python_functions.py:68: overrideable ==> overridable
data/pytorch-1.7.0/tools/autograd/gen_variable_type.py:106: registeration ==> registration
data/pytorch-1.7.0/tools/code_analyzer/op_deps_pass.cpp:441: sufficent ==> sufficient
data/pytorch-1.7.0/tools/code_coverage/README.md:96: devloping ==> developing
data/pytorch-1.7.0/tools/code_coverage/package/oss/init.py:147: intermidiate ==> intermediate
data/pytorch-1.7.0/tools/codegen/gen.py:756: overrideable ==> overridable
data/pytorch-1.7.0/tools/codegen/api/cpp.py:67: occuring ==> occurring
data/pytorch-1.7.0/tools/config/defs.bzl:30: stange ==> strange
data/pytorch-1.7.0/tools/jit/gen_unboxing_wrappers.py:34: homogenous ==> homogeneous
data/pytorch-1.7.0/torch/__init__.py:613: compatbility ==> compatibility
data/pytorch-1.7.0/torch/_jit_internal.py:634: useable ==> usable
data/pytorch-1.7.0/torch/_lobpcg.py:64: exploting ==> exploiting, exploring
data/pytorch-1.7.0/torch/_lobpcg.py:87: represenation ==> representation
data/pytorch-1.7.0/torch/_lobpcg.py:613: bA ==> by, be
data/pytorch-1.7.0/torch/_lobpcg.py:620: bA ==> by, be
data/pytorch-1.7.0/torch/_lowrank.py:31: choosen ==> chosen
data/pytorch-1.7.0/torch/_tensor_docs.py:1041: COO ==> COUP
data/pytorch-1.7.0/torch/_tensor_docs.py:1519: COO ==> COUP
data/pytorch-1.7.0/torch/_tensor_docs.py:1549: COO ==> COUP
data/pytorch-1.7.0/torch/_tensor_docs.py:2935: indicies ==> indices
data/pytorch-1.7.0/torch/_tensor_docs.py:2960: incase ==> in case
data/pytorch-1.7.0/torch/_tensor_docs.py:2962: incase ==> in case
data/pytorch-1.7.0/torch/_tensor_docs.py:3205: COO ==> COUP
data/pytorch-1.7.0/torch/_torch_docs.py:5881: propably ==> probably
data/pytorch-1.7.0/torch/_torch_docs.py:6816: COO ==> COUP
data/pytorch-1.7.0/torch/_utils_internal.py:7: overrideable ==> overridable
data/pytorch-1.7.0/torch/custom_class.h:146: convertable ==> convertible
data/pytorch-1.7.0/torch/functional.py:340: incase ==> in case
data/pytorch-1.7.0/torch/functional.py:1181: fro ==> for, from
data/pytorch-1.7.0/torch/functional.py:1191: fro ==> for, from
data/pytorch-1.7.0/torch/functional.py:1196: fro ==> for, from
data/pytorch-1.7.0/torch/functional.py:1201: fro ==> for, from
data/pytorch-1.7.0/torch/functional.py:1206: fro ==> for, from
data/pytorch-1.7.0/torch/functional.py:1211: fro ==> for, from
data/pytorch-1.7.0/torch/functional.py:1289: fro ==> for, from
data/pytorch-1.7.0/torch/functional.py:1307: fro ==> for, from
data/pytorch-1.7.0/torch/library.h:670: identifer ==> identifier
data/pytorch-1.7.0/torch/overrides.py:195: overriden ==> overridden
data/pytorch-1.7.0/torch/overrides.py:1079: aguments ==> arguments
data/pytorch-1.7.0/torch/overrides.py:1144: overriden ==> overridden
data/pytorch-1.7.0/torch/tensor.py:383: fro ==> for, from
data/pytorch-1.7.0/torch/tensor.py:952: informations ==> information
data/pytorch-1.7.0/torch/CMakeLists.txt:200: comptability ==> compatibility, computability
data/pytorch-1.7.0/torch/CMakeLists.txt:200: comptability ==> compatibility, computability
data/pytorch-1.7.0/torch/_package/exporter.py:50: assocated ==> associated
data/pytorch-1.7.0/torch/_package/exporter.py:329: indentify ==> identify
data/pytorch-1.7.0/torch/_package/exporter.py:367: indentify ==> identify
data/pytorch-1.7.0/torch/_package/exporter.py:377: indentify ==> identify
data/pytorch-1.7.0/torch/_package/exporter.py:396: Convience ==> Convince, convenience
data/pytorch-1.7.0/torch/_package/exporter.py:421: Convience ==> Convince, convenience
data/pytorch-1.7.0/torch/autograd/gradcheck.py:222: expressable ==> expressible
data/pytorch-1.7.0/torch/csrc/Exceptions.h:321: desctructor ==> destructor
data/pytorch-1.7.0/torch/csrc/api/include/torch/data/datasets/chunk.h:233: maximun ==> maximum
data/pytorch-1.7.0/torch/csrc/api/include/torch/data/datasets/chunk.h:285: perfrom ==> perform
data/pytorch-1.7.0/torch/csrc/api/include/torch/data/datasets/chunk.h:302: determins ==> determines
data/pytorch-1.7.0/torch/csrc/api/include/torch/data/datasets/chunk.h:346: implemenation ==> implementation
data/pytorch-1.7.0/torch/csrc/api/include/torch/data/samplers/base.h:31: reseting ==> resetting
data/pytorch-1.7.0/torch/csrc/api/include/torch/nn/functional/activation.h:316: suppport ==> support
data/pytorch-1.7.0/torch/csrc/api/include/torch/nn/modules/container/parameterdict.h:109: centain ==> certain
data/pytorch-1.7.0/torch/csrc/api/src/nn/modules/transformer.cpp:22: exceptionss ==> exceptions
data/pytorch-1.7.0/torch/csrc/autograd/FunctionsManual.cpp:1054: does't ==> doesn't
data/pytorch-1.7.0/torch/csrc/autograd/engine.cpp:957: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/autograd/engine.h:116: synchronizaton ==> synchronization
data/pytorch-1.7.0/torch/csrc/autograd/variable.cpp:380: thorugh ==> through, thorough
data/pytorch-1.7.0/torch/csrc/autograd/functions/accumulate_grad.h:123: compatiblity ==> compatibility
data/pytorch-1.7.0/torch/csrc/cuda/comm.cpp:133: Varaibles ==> Variables
data/pytorch-1.7.0/torch/csrc/distributed/autograd/context/context.h:150: varaible ==> variable
data/pytorch-1.7.0/torch/csrc/distributed/autograd/engine/dist_engine.cpp:31: gard ==> guard
data/pytorch-1.7.0/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_req.cpp:50: cant ==> can't
data/pytorch-1.7.0/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_resp.h:21: receving ==> receiving
data/pytorch-1.7.0/torch/csrc/distributed/rpc/process_group_agent.cpp:680: occured ==> occurred
data/pytorch-1.7.0/torch/csrc/distributed/rpc/process_group_agent.cpp:697: occured ==> occurred
data/pytorch-1.7.0/torch/csrc/distributed/rpc/process_group_agent.h:166: correspnding ==> corresponding
data/pytorch-1.7.0/torch/csrc/distributed/rpc/process_group_agent.h:234: oustanding ==> outstanding
data/pytorch-1.7.0/torch/csrc/distributed/rpc/py_rref.cpp:18: contructing ==> constructing
data/pytorch-1.7.0/torch/csrc/distributed/rpc/request_callback_no_python.cpp:78: futher ==> further
data/pytorch-1.7.0/torch/csrc/distributed/rpc/rpc_agent.cpp:152: corresponsing ==> corresponding
data/pytorch-1.7.0/torch/csrc/distributed/rpc/rpc_agent.h:166: receieved ==> received
data/pytorch-1.7.0/torch/csrc/distributed/rpc/rpc_agent.h:245: Retrive ==> Retrieve
data/pytorch-1.7.0/torch/csrc/distributed/rpc/rref_context.cpp:339: ser ==> set
data/pytorch-1.7.0/torch/csrc/distributed/rpc/rref_context.cpp:540: untill ==> until
data/pytorch-1.7.0/torch/csrc/distributed/rpc/rref_context.cpp:601: untill ==> until
data/pytorch-1.7.0/torch/csrc/distributed/rpc/rref_context.h:266: notificaton ==> notification
data/pytorch-1.7.0/torch/csrc/distributed/rpc/rref_context.h:322: gurantees ==> guarantees
data/pytorch-1.7.0/torch/csrc/jit/OVERVIEW.md:1320: poins ==> points
data/pytorch-1.7.0/torch/csrc/jit/api/function_impl.h:124: invokable ==> invocable
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/arith.cpp:407: ouput ==> output
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/arith.cpp:465: recieved ==> received
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/arith.h:54: entires ==> entries
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/compute_at.h:33: postion ==> position
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/compute_at.h:138: eachother ==> each other
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:247: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:250: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:253: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:256: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:259: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:262: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:265: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:268: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:273: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:276: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:279: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:282: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:285: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:288: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:291: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:300: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:303: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:306: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:309: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:312: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:316: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:319: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:322: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:326: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:329: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:332: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:335: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:338: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:343: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:346: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:349: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:352: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:355: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:359: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:381: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:384: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:387: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:390: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:393: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:396: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:399: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:402: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:407: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:410: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:413: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:416: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:419: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:422: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:425: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:434: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:437: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:440: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:443: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:446: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:449: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:453: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:456: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:459: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:463: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:466: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:469: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:472: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:475: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:480: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:483: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:486: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:489: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:492: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:589: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:592: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:595: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:598: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:601: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:604: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:607: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:610: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:615: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:618: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:621: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:624: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:627: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:630: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:633: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:636: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:639: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:642: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:645: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/dispatch.h:648: overriden ==> overridden
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/executor_launch_params.h:91: assocaited ==> associated
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/expr_evaluator.h:33: infered ==> inferred
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/expr_evaluator.h:33: infered ==> inferred
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/fusion.h:155: equivelent ==> equivalent
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/graph_fuser.cpp:234: propogate ==> propagate
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/index_compute.cpp:35: contigous ==> contiguous
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/index_compute.cpp:163: thie ==> the, this
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/index_compute.cpp:885: strucutre ==> structure
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/index_compute.h:11: indicies ==> indices
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/index_compute.h:12: incomming ==> incoming
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_base_nodes.h:28: refering ==> referring
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_base_nodes.h:59: Statment ==> Statement
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_base_nodes.h:61: Statment ==> Statement
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_base_nodes.h:265: ouputs ==> outputs
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_graphviz.cpp:219: unreacheable ==> unreachable
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_interface_nodes.h:185: modifed ==> modified
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_interface_nodes.h:186: referncing ==> referencing
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_interface_nodes.h:367: initailziation ==> initialization
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_interface_nodes.h:379: eachother ==> each other
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_internal_nodes.h:228: ND ==> AND, 2ND
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_internal_nodes.h:228: parallization ==> parallelization
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_iostream.h:41: eventhough ==> even though
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_nodes.cpp:284: whith ==> with
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_nodes.cpp:484: Recieved ==> Received
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_nodes.cpp:505: Recieved ==> Received
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_nodes.cpp:544: Recieved ==> Received
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/ir_nodes.cpp:768: Eventhough ==> Even though
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/iter_visitor.cpp:36: untill ==> until
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/iter_visitor.cpp:75: poped ==> popped, pooped
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/iter_visitor.h:93: guarenteed ==> guaranteed
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/iter_visitor.h:94: guarenteed ==> guaranteed
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/iter_visitor.h:146: guarentee ==> guarantee
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/iter_visitor.h:193: guarenteed ==> guaranteed
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/iter_visitor.h:194: guarenteed ==> guaranteed
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/kernel_cache.cpp:656: addes ==> adds
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/kernel_cache.h:156: controled ==> controlled
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/kernel_ir.h:503: assocated ==> associated
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/lower2device.cpp:42: referenc ==> reference
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/lower_loops.cpp:151: initilization ==> initialization
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/lower_loops.cpp:287: begining ==> beginning
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/lower_loops.cpp:586: Upate ==> Update
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/lower_unroll.cpp:57: insering ==> inserting
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/lower_unroll.h:56: incomming ==> incoming
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/lower_utils.h:56: Somtimes ==> Sometimes
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/mutator.cpp:20: expresion ==> expression
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/mutator.cpp:20: expresion ==> expression
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/mutator.cpp:117: ot ==> to, of, or
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/mutator.cpp:127: ot ==> to, of, or
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/mutator.cpp:131: ot ==> to, of, or
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/mutator.cpp:139: ot ==> to, of, or
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/mutator.h:16: changeing ==> changing
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/partition.cpp:19: outputing ==> outputting
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/partition.cpp:242: encounted ==> encountered, encounter
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/partition.cpp:278: encounted ==> encountered, encounter
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/predicate_compute.cpp:139: intializing ==> initializing
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/predicate_compute.h:39: reutrns ==> returns
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/scheduler.cpp:536: preceeding ==> preceding, proceeding
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/scheduler.cpp:602: preceeding ==> preceding, proceeding
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/scheduler.h:21: equivelent ==> equivalent
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/tensor_view.cpp:265: seting ==> setting
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/transform_iter.cpp:353: ammount ==> amount
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/transform_iter.cpp:397: equivelent ==> equivalent
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/transform_iter.h:142: equivelent ==> equivalent
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/transform_rfactor.cpp:165: recieved ==> received
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/transform_rfactor.cpp:184: cacheing ==> caching
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/transform_rfactor.cpp:314: recieved ==> received
data/pytorch-1.7.0/torch/csrc/jit/codegen/cuda/type.h:149: inputed ==> inputted
data/pytorch-1.7.0/torch/csrc/jit/codegen/fuser/codegen.cpp:613: halfs ==> halves
data/pytorch-1.7.0/torch/csrc/jit/codegen/fuser/executor.cpp:35: unitialized ==> uninitialized
data/pytorch-1.7.0/torch/csrc/jit/codegen/fuser/executor.cpp:208: expressable ==> expressible
data/pytorch-1.7.0/torch/csrc/jit/codegen/fuser/fused_kernel.h:45: convension ==> convention, conversion
data/pytorch-1.7.0/torch/csrc/jit/docs/serialization.md:126: encouters ==> encounters
data/pytorch-1.7.0/torch/csrc/jit/docs/serialization.md:370: invokable ==> invocable
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:12: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:14: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:17: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:105: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:172: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:174: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:246: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:246: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:247: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:272: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:279: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:284: WONT ==> WON'T
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:334: unitialized ==> uninitialized
data/pytorch-1.7.0/torch/csrc/jit/frontend/exit_transforms.cpp:363: unitialized ==> uninitialized
data/pytorch-1.7.0/torch/csrc/jit/frontend/ir_emitter.cpp:894: wont ==> won't
data/pytorch-1.7.0/torch/csrc/jit/frontend/ir_emitter.cpp:1773: Heterogenous ==> Heterogeneous
data/pytorch-1.7.0/torch/csrc/jit/frontend/ir_emitter.cpp:2999: fucntion ==> function
data/pytorch-1.7.0/torch/csrc/jit/frontend/ir_emitter.cpp:3872: calles ==> calls
data/pytorch-1.7.0/torch/csrc/jit/frontend/ir_emitter.cpp:4123: declartions ==> declarations
data/pytorch-1.7.0/torch/csrc/jit/frontend/script_type_parser.cpp:338: annoation ==> annotation
data/pytorch-1.7.0/torch/csrc/jit/frontend/source_range.cpp:129: inital ==> initial
data/pytorch-1.7.0/torch/csrc/jit/frontend/sugared_value.h:117: Heterogenous ==> Heterogeneous
data/pytorch-1.7.0/torch/csrc/jit/frontend/sugared_value.h:138: elemement ==> element
data/pytorch-1.7.0/torch/csrc/jit/frontend/sugared_value.h:280: Heterogenous ==> Heterogeneous
data/pytorch-1.7.0/torch/csrc/jit/frontend/sugared_value.h:302: refering ==> referring
data/pytorch-1.7.0/torch/csrc/jit/frontend/sugared_value.h:320: exising ==> existing
data/pytorch-1.7.0/torch/csrc/jit/frontend/sugared_value.h:325: analagous ==> analogous
data/pytorch-1.7.0/torch/csrc/jit/ir/alias_analysis.h:81: inputed ==> inputted
data/pytorch-1.7.0/torch/csrc/jit/ir/alias_analysis.h:81: outputed ==> outputted
data/pytorch-1.7.0/torch/csrc/jit/ir/ir.cpp:1475: numer ==> number
data/pytorch-1.7.0/torch/csrc/jit/ir/ir.h:509: similiar ==> similar
data/pytorch-1.7.0/torch/csrc/jit/ir/ir.h:1187: guarentees ==> guarantees
data/pytorch-1.7.0/torch/csrc/jit/ir/ir_views.h:145: thorugh ==> through, thorough
data/pytorch-1.7.0/torch/csrc/jit/ir/subgraph_matcher.h:15: correspondance ==> correspondence
data/pytorch-1.7.0/torch/csrc/jit/ir/subgraph_matcher.h:42: consitute ==> constitute
data/pytorch-1.7.0/torch/csrc/jit/mobile/import.cpp:111: verson ==> version
data/pytorch-1.7.0/torch/csrc/jit/mobile/type_parser.cpp:155: paser ==> parser
data/pytorch-1.7.0/torch/csrc/jit/mobile/type_parser.cpp:156: paser ==> parser
data/pytorch-1.7.0/torch/csrc/jit/passes/batch_mm.cpp:313: chosed ==> chose
data/pytorch-1.7.0/torch/csrc/jit/passes/canonicalize.cpp:98: numer ==> number
data/pytorch-1.7.0/torch/csrc/jit/passes/fold_conv_bn.cpp:101: informations ==> information
data/pytorch-1.7.0/torch/csrc/jit/passes/freeze_module.cpp:600: Perserve ==> Preserve
data/pytorch-1.7.0/torch/csrc/jit/passes/freeze_module.h:11: atrributes ==> attributes
data/pytorch-1.7.0/torch/csrc/jit/passes/graph_fuser.cpp:399: propogate ==> propagate
data/pytorch-1.7.0/torch/csrc/jit/passes/guard_elimination.cpp:91: contigious ==> contiguous
data/pytorch-1.7.0/torch/csrc/jit/passes/guard_elimination.cpp:91: streches ==> stretches
data/pytorch-1.7.0/torch/csrc/jit/passes/loop_unrolling.cpp:329: substract ==> subtract
data/pytorch-1.7.0/torch/csrc/jit/passes/reconstruct_scopes.cpp:140: deugging ==> debugging
data/pytorch-1.7.0/torch/csrc/jit/passes/tensorexpr_fuser.cpp:543: depdency ==> dependency
data/pytorch-1.7.0/torch/csrc/jit/passes/tensorexpr_fuser.cpp:559: suceeded ==> succeeded
data/pytorch-1.7.0/torch/csrc/jit/passes/tensorexpr_fuser.h:14: responsibilty ==> responsibility
data/pytorch-1.7.0/torch/csrc/jit/passes/onnx/preprocess_for_onnx.cpp:51: addtional ==> additional
data/pytorch-1.7.0/torch/csrc/jit/passes/onnx/shape_type_inference.cpp:38: avaible ==> available
data/pytorch-1.7.0/torch/csrc/jit/passes/onnx/shape_type_inference.h:32: accroding ==> according
data/pytorch-1.7.0/torch/csrc/jit/passes/quantization/helper.cpp:116: Theses ==> These, thesis
data/pytorch-1.7.0/torch/csrc/jit/passes/quantization/helper.cpp:136: Theses ==> These, thesis
data/pytorch-1.7.0/torch/csrc/jit/passes/quantization/insert_observers.cpp:302: arguemnt ==> argument
data/pytorch-1.7.0/torch/csrc/jit/passes/quantization/insert_observers.cpp:379: propage ==> propagate
data/pytorch-1.7.0/torch/csrc/jit/passes/quantization/insert_observers.cpp:1341: explictly ==> explicitly
data/pytorch-1.7.0/torch/csrc/jit/passes/quantization/insert_quant_dequant.cpp:1253: outpus ==> output, outputs
data/pytorch-1.7.0/torch/csrc/jit/passes/quantization/quantization_patterns.h:201: asymetric ==> asymmetric
data/pytorch-1.7.0/torch/csrc/jit/passes/quantization/quantization_patterns.h:784: paramters ==> parameters
data/pytorch-1.7.0/torch/csrc/jit/passes/utils/subgraph_utils.cpp:54: doesnt ==> doesn't, does not
data/pytorch-1.7.0/torch/csrc/jit/passes/utils/subgraph_utils.cpp:54: shouldnt ==> shouldn't
data/pytorch-1.7.0/torch/csrc/jit/passes/utils/subgraph_utils.h:30: udpates ==> updates
data/pytorch-1.7.0/torch/csrc/jit/python/init.cpp:1202: evalute ==> evaluate
data/pytorch-1.7.0/torch/csrc/jit/python/python_ivalue.h:48: errornous ==> erroneous
data/pytorch-1.7.0/torch/csrc/jit/python/python_sugared_value.cpp:920: avaialble ==> available
data/pytorch-1.7.0/torch/csrc/jit/python/python_sugared_value.cpp:930: avaialble ==> available
data/pytorch-1.7.0/torch/csrc/jit/python/python_sugared_value.h:70: varible ==> variable
data/pytorch-1.7.0/torch/csrc/jit/runtime/argument_spec.cpp:226: ot ==> to, of, or
data/pytorch-1.7.0/torch/csrc/jit/runtime/argument_spec.cpp:228: ot ==> to, of, or
data/pytorch-1.7.0/torch/csrc/jit/runtime/argument_spec.cpp:268: ot ==> to, of, or
data/pytorch-1.7.0/torch/csrc/jit/runtime/autodiff.cpp:368: elminate ==> eliminate
data/pytorch-1.7.0/torch/csrc/jit/runtime/autodiff.cpp:730: availiable ==> available
data/pytorch-1.7.0/torch/csrc/jit/runtime/graph_executor.cpp:354: foward ==> forward
data/pytorch-1.7.0/torch/csrc/jit/runtime/interpreter.cpp:47: intepreter ==> interpreter
data/pytorch-1.7.0/torch/csrc/jit/runtime/interpreter.cpp:1029: aggresive ==> aggressive
data/pytorch-1.7.0/torch/csrc/jit/runtime/interpreter.cpp:1086: currenly ==> currently
data/pytorch-1.7.0/torch/csrc/jit/runtime/profiling_graph_executor_impl.cpp:113: TE ==> THE, BE, WE
data/pytorch-1.7.0/torch/csrc/jit/runtime/profiling_graph_executor_impl.cpp:365: TE ==> THE, BE, WE
data/pytorch-1.7.0/torch/csrc/jit/runtime/register_c10_ops.cpp:143: ouptut ==> output
data/pytorch-1.7.0/torch/csrc/jit/runtime/register_prim_ops.cpp:877: TOOD ==> TODO
data/pytorch-1.7.0/torch/csrc/jit/runtime/register_prim_ops_fulljit.cpp:644: heterogenous ==> heterogeneous
data/pytorch-1.7.0/torch/csrc/jit/runtime/register_prim_ops_fulljit.cpp:1131: homogenous ==> homogeneous
data/pytorch-1.7.0/torch/csrc/jit/runtime/register_prim_ops_fulljit.cpp:1132: heterogenous ==> heterogeneous
data/pytorch-1.7.0/torch/csrc/jit/runtime/static/README.md:29: subsitution ==> substitution
data/pytorch-1.7.0/torch/csrc/jit/serialization/import_legacy.cpp:369: unitialized ==> uninitialized
data/pytorch-1.7.0/torch/csrc/jit/serialization/python_print.cpp:202: expresion ==> expression
data/pytorch-1.7.0/torch/csrc/jit/serialization/python_print.cpp:212: immediatly ==> immediately
data/pytorch-1.7.0/torch/csrc/jit/serialization/python_print.cpp:217: outout ==> output
data/pytorch-1.7.0/torch/csrc/jit/serialization/python_print.cpp:618: preceeding ==> preceding, proceeding
data/pytorch-1.7.0/torch/csrc/jit/serialization/python_print.cpp:1289: funtions ==> functions
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/analysis.h:162: verions ==> versions
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/block_codegen.cpp:89: paranthesis ==> parenthesis
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/cuda_codegen.cpp:1011: TE ==> THE, BE, WE
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/cuda_half_support.h:10: Statment ==> Statement
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/dim_arg.h:8: arugments ==> arguments
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/ir.cpp:102: Reenable ==> Re-enable
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/ir_printer.cpp:380: indendation ==> indentation
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/ir_simplifier.cpp:807: thats ==> that's
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/ir_simplifier.cpp:1456: wont ==> won't
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/ir_simplifier.cpp:1541: ony ==> only
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/ir_simplifier.cpp:1619: thats ==> that's
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/ir_simplifier.cpp:1619: particulary ==> particularly
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/ir_simplifier.cpp:1670: struture ==> structure
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/loopnest.cpp:564: Statment ==> Statement
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/loopnest.cpp:1897: temprorary ==> temporary
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/registerizer.cpp:318: intialize ==> initialize
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/registerizer.h:134: Acccess ==> Access
data/pytorch-1.7.0/torch/csrc/jit/tensorexpr/tensor.h:325: prevously ==> previously
data/pytorch-1.7.0/torch/csrc/utils/future.h:87: thats ==> that's
data/pytorch-1.7.0/torch/csrc/utils/future.h:89: neccessarily ==> necessarily
data/pytorch-1.7.0/torch/csrc/utils/python_arg_parser.cpp:469: ans ==> and
data/pytorch-1.7.0/torch/csrc/utils/python_arg_parser.cpp:471: ans ==> and
data/pytorch-1.7.0/torch/csrc/utils/python_numbers.h:149: occured ==> occurred
data/pytorch-1.7.0/torch/csrc/utils/structseq.cpp:8: printting ==> printing
data/pytorch-1.7.0/torch/csrc/utils/throughput_benchmark.cpp:140: namepsace ==> namespace
data/pytorch-1.7.0/torch/csrc/utils/throughput_benchmark.h:78: dirrectly ==> directly
data/pytorch-1.7.0/torch/csrc/utils/throughput_benchmark.h:181: dirrectly ==> directly
data/pytorch-1.7.0/torch/csrc/utils/throughput_benchmark.h:195: namepsace ==> namespace
data/pytorch-1.7.0/torch/cuda/memory.py:53: exisiting ==> existing
data/pytorch-1.7.0/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py:53: accross ==> across
data/pytorch-1.7.0/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py:86: accross ==> across
data/pytorch-1.7.0/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py:134: accross ==> across
data/pytorch-1.7.0/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py:179: accross ==> across
data/pytorch-1.7.0/torch/distributed/nn/api/remote_module.py:79: propogates ==> propagates
data/pytorch-1.7.0/torch/distributed/nn/api/remote_module.py:154: preperation ==> preparation
data/pytorch-1.7.0/torch/distributed/nn/api/remote_module.py:319: propogates ==> propagates
data/pytorch-1.7.0/torch/distributed/optim/optimizer.py:20: explictly ==> explicitly
data/pytorch-1.7.0/torch/distributed/rpc/internal.py:77: acces ==> access
data/pytorch-1.7.0/torch/distributed/rpc/internal.py:78: puting ==> putting
data/pytorch-1.7.0/torch/distributions/mixture_same_family.py:24: Modle ==> Model
data/pytorch-1.7.0/torch/jit/_script.py:163: recusively ==> recursively, reclusively
data/pytorch-1.7.0/torch/jit/_script.py:627: overriden ==> overridden
data/pytorch-1.7.0/torch/jit/_script.py:638: overriden ==> overridden
data/pytorch-1.7.0/torch/lib/c10d/ProcessGroup.cpp:90: implmentation ==> implementation
data/pytorch-1.7.0/torch/lib/c10d/ProcessGroup.hpp:158: contigious ==> contiguous
data/pytorch-1.7.0/torch/lib/c10d/ProcessGroupMPI.hpp:61: singe ==> single
data/pytorch-1.7.0/torch/lib/c10d/ProcessGroupMPI.hpp:64: requres ==> requires
data/pytorch-1.7.0/torch/lib/c10d/ProcessGroupMPI.hpp:65: implemenation ==> implementation
data/pytorch-1.7.0/torch/lib/c10d/ProcessGroupMPI.hpp:187: initiialize ==> initialize
data/pytorch-1.7.0/torch/lib/c10d/ProcessGroupNCCL.hpp:96: neeeded ==> needed
data/pytorch-1.7.0/torch/lib/c10d/ProcessGroupNCCL.hpp:583: steams ==> streams
data/pytorch-1.7.0/torch/lib/c10d/ProcessGroupNCCL.hpp:617: ot ==> to, of, or
data/pytorch-1.7.0/torch/lib/c10d/Utils.cpp:211: protcol ==> protocol
data/pytorch-1.7.0/torch/lib/c10d/Utils.hpp:440: happend ==> happened, happens, happen
data/pytorch-1.7.0/torch/lib/c10d/test/ProcessGroupNCCLTest.cpp:273: ouputs ==> outputs
data/pytorch-1.7.0/torch/multiprocessing/reductions.py:200: recontruction ==> reconstruction
data/pytorch-1.7.0/torch/nn/functional.py:449: oT ==> to, of, or
data/pytorch-1.7.0/torch/nn/functional.py:3239: fo ==> of, for
data/pytorch-1.7.0/torch/nn/functional.py:3868: Circularly ==> Circular
data/pytorch-1.7.0/torch/nn/grad.py:231: oT ==> to, of, or
data/pytorch-1.7.0/torch/nn/grad.py:270: oT ==> to, of, or
data/pytorch-1.7.0/torch/nn/intrinsic/qat/modules/conv_fused.py:61: actully ==> actually
data/pytorch-1.7.0/torch/nn/modules/pooling.py:762: oT ==> to, of, or
data/pytorch-1.7.0/torch/nn/parallel/distributed.py:600: compuation ==> computation
data/pytorch-1.7.0/torch/nn/utils/spectral_norm.py:65: parallized ==> parallelized
data/pytorch-1.7.0/torch/onnx/symbolic_helper.py:236: decending ==> descending
data/pytorch-1.7.0/torch/onnx/symbolic_helper.py:242: decending ==> descending
data/pytorch-1.7.0/torch/onnx/symbolic_helper.py:246: decending ==> descending
data/pytorch-1.7.0/torch/onnx/symbolic_helper.py:416: accesible ==> accessible
data/pytorch-1.7.0/torch/onnx/symbolic_opset10.py:24: decending ==> descending
data/pytorch-1.7.0/torch/onnx/symbolic_opset10.py:25: decending ==> descending
data/pytorch-1.7.0/torch/onnx/symbolic_opset10.py:25: decending ==> descending
data/pytorch-1.7.0/torch/onnx/symbolic_opset11.py:127: whith ==> with
data/pytorch-1.7.0/torch/onnx/symbolic_opset11.py:374: decending ==> descending
data/pytorch-1.7.0/torch/onnx/symbolic_opset11.py:375: decending ==> descending
data/pytorch-1.7.0/torch/onnx/symbolic_opset11.py:375: decending ==> descending
data/pytorch-1.7.0/torch/onnx/symbolic_opset9.py:764: substract ==> subtract
data/pytorch-1.7.0/torch/onnx/symbolic_opset9.py:1717: decending ==> descending
data/pytorch-1.7.0/torch/onnx/utils.py:228: dictionnaries ==> dictionaries
data/pytorch-1.7.0/torch/onnx/utils.py:237: dictionnary ==> dictionary
data/pytorch-1.7.0/torch/onnx/utils.py:268: intializers ==> initializers
data/pytorch-1.7.0/torch/onnx/utils.py:277: intializers ==> initializers
data/pytorch-1.7.0/torch/optim/sparse_adam.py:109: numer ==> number
data/pytorch-1.7.0/torch/optim/sparse_adam.py:118: numer ==> number
data/pytorch-1.7.0/torch/quantization/_equalize.py:8: axises ==> axes
data/pytorch-1.7.0/torch/quantization/_equalize.py:16: axises ==> axes
data/pytorch-1.7.0/torch/quantization/_equalize.py:123: differnce ==> difference
data/pytorch-1.7.0/torch/quantization/_learnable_fake_quantize.py:14: vesion ==> version
data/pytorch-1.7.0/torch/quantization/_learnable_fake_quantize.py:259: disbales ==> disables
data/pytorch-1.7.0/torch/quantization/fuse_modules.py:7: compatiblity ==> compatibility
data/pytorch-1.7.0/torch/quantization/observer.py:921: thats ==> that's
data/pytorch-1.7.0/torch/quantization/observer.py:921: piecwise ==> piecewise, piece wise
data/pytorch-1.7.0/torch/quantization/quantize.py:93: attribut ==> attribute
data/pytorch-1.7.0/torch/quantization/quantize.py:168: TOOD ==> TODO
data/pytorch-1.7.0/torch/quantization/fx/quantization_patterns.py:528: environemnt ==> environment
data/pytorch-1.7.0/torch/quantization/fx/quantize.py:69: inpu ==> input
data/pytorch-1.7.0/torch/quantization/fx/quantize.py:549: environemnts ==> environments
data/pytorch-1.7.0/torch/quantization/fx/utils.py:72: exra ==> extra
data/pytorch-1.7.0/torch/testing/__init__.py:87: occuring ==> occurring
data/pytorch-1.7.0/torch/testing/__init__.py:162: comparisions ==> comparisons
data/pytorch-1.7.0/torch/testing/_internal/common_cuda.py:85: pecified ==> specified, pacified
data/pytorch-1.7.0/torch/testing/_internal/common_device_type.py:430: unsupport ==> unsupported
data/pytorch-1.7.0/torch/testing/_internal/common_distributed.py:160: supportted ==> supported
data/pytorch-1.7.0/torch/testing/_internal/common_quantization.py:347: preperation ==> preparation
data/pytorch-1.7.0/torch/testing/_internal/common_quantization.py:619: occurences ==> occurrences
data/pytorch-1.7.0/torch/testing/_internal/common_quantization.py:1313: doesnt ==> doesn't, does not
data/pytorch-1.7.0/torch/testing/_internal/common_quantization.py:1322: doesnt ==> doesn't, does not
data/pytorch-1.7.0/torch/testing/_internal/common_utils.py:655: befores ==> before
data/pytorch-1.7.0/torch/testing/_internal/common_utils.py:664: befores ==> before
data/pytorch-1.7.0/torch/testing/_internal/codegen/random_topo_test.py:131: dependecy ==> dependency
data/pytorch-1.7.0/torch/testing/_internal/distributed/distributed_test.py:312: retreiving ==> retrieving
data/pytorch-1.7.0/torch/testing/_internal/distributed/distributed_test.py:1610: ouputs ==> outputs
data/pytorch-1.7.0/torch/testing/_internal/distributed/distributed_test.py:3027: comlete ==> complete
data/pytorch-1.7.0/torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py:472: Unknow ==> Unknown
data/pytorch-1.7.0/torch/testing/_internal/distributed/rpc/dist_autograd_test.py:155: funciton ==> function
data/pytorch-1.7.0/torch/testing/_internal/distributed/rpc/dist_autograd_test.py:1716: atleast ==> at least
data/pytorch-1.7.0/torch/testing/_internal/distributed/rpc/rpc_test.py:2374: objet ==> object
data/pytorch-1.7.0/torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py:101: attched ==> attached
data/pytorch-1.7.0/torch/testing/_internal/distributed/rpc/jit/rpc_test.py:758: excetpion ==> exception
data/pytorch-1.7.0/torch/utils/cpp_extension.py:511: Fo ==> Of, for
data/pytorch-1.7.0/torch/utils/cpp_extension.py:1507: detachs ==> detaches
data/pytorch-1.7.0/torch/utils/cpp_extension.py:1729: Fo ==> Of, for
data/pytorch-1.7.0/torch/utils/benchmark/examples/fuzzer.py:68: attemts ==> attempts
data/pytorch-1.7.0/torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py:124: equivilent ==> equivalent
data/pytorch-1.7.0/torch/utils/bottleneck/__main__.py:130: tthe ==> the
data/pytorch-1.7.0/torch/utils/data/dataloader.py:341: everytime ==> every time
data/pytorch-1.7.0/torch/utils/data/dataloader.py:341: reseting ==> resetting
data/pytorch-1.7.0/torch/utils/data/dataloader.py:533: alreay ==> already
data/pytorch-1.7.0/torch/utils/data/dataloader.py:676: separete ==> separate
data/pytorch-1.7.0/torch/utils/data/dataloader.py:749: timeing ==> timing
data/pytorch-1.7.0/torch/utils/data/dataloader.py:1132: Joinning ==> Joining
data/pytorch-1.7.0/torch/utils/hipify/cuda_to_hip_mappings.py:8060: tread ==> thread, treat
data/pytorch-1.7.0/torch/utils/hipify/hipify_python.py:402: parantheses ==> parentheses
data/pytorch-1.7.0/torch/utils/tensorboard/_utils.py:43: spreaded ==> spread
data/pytorch-1.7.0/torch/utils/tensorboard/summary.py:273: hist ==> heist, his
data/pytorch-1.7.0/torch/utils/tensorboard/summary.py:280: hist ==> heist, his
data/pytorch-1.7.0/torch/utils/tensorboard/summary.py:300: hist ==> heist, his
data/pytorch-1.7.0/torch/utils/tensorboard/summary.py:301: hist ==> heist, his
data/pytorch-1.7.0/debian/foxi/foxi/onnxifi.h:109: accomodate ==> accommodate
data/pytorch-1.7.0/debian/foxi/foxi/onnxifi.h:1624: inout ==> input, in out
data/pytorch-1.7.0/debian/foxi/foxi/onnxifi.h:1789: preceeding ==> preceding, proceeding
data/pytorch-1.7.0/debian/foxi/foxi/onnxifi_loader.h:79: implentation ==> implementation
data/pytorch-1.7.0/debian/upstream/metadata:4: Raison ==> Reason, raisin
data/pytorch-1.7.0/.pc/dirtyhack.patch/cmake/Dependencies.cmake:642: Cacheing ==> Caching
data/pytorch-1.7.0/.pc/dirtyhack.patch/cmake/Dependencies.cmake:1284: diretory ==> directory
data/pytorch-1.7.0/.pc/dirtyhack.patch/torch/CMakeLists.txt:194: comptability ==> compatibility, computability
data/pytorch-1.7.0/.pc/dirtyhack.patch/torch/CMakeLists.txt:194: comptability ==> compatibility, computability
data/pytorch-1.7.0/.pc/zstd.patch/cmake/Dependencies.cmake:642: Cacheing ==> Caching
data/pytorch-1.7.0/.pc/zstd.patch/cmake/Dependencies.cmake:1284: diretory ==> directory
data/pytorch-1.7.0/.pc/shebang.patch/.jenkins/pytorch/win-test-helpers/run_python_nn_smoketests.py:56: Reruning ==> Rerunning
data/pytorch-1.7.0/.pc/shebang.patch/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-android-arm64.sh:56: overridding ==> overriding
data/pytorch-1.7.0/.pc/shebang.patch/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-android-armv7.sh:56: overridding ==> overriding
data/pytorch-1.7.0/.pc/shebang.patch/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-android-x86.sh:56: overridding ==> overriding
data/pytorch-1.7.0/.pc/shebang.patch/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-arm64.sh:43: overridding ==> overriding
data/pytorch-1.7.0/.pc/shebang.patch/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-arm64e.sh:43: overridding ==> overriding
data/pytorch-1.7.0/.pc/shebang.patch/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-armv7.sh:43: overridding ==> overriding
data/pytorch-1.7.0/.pc/shebang.patch/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-armv7s.sh:43: overridding ==> overriding
data/pytorch-1.7.0/.pc/shebang.patch/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-i386.sh:43: overridding ==> overriding
data/pytorch-1.7.0/.pc/shebang.patch/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-ios-x86_64.sh:48: overridding ==> overriding
data/pytorch-1.7.0/.pc/shebang.patch/aten/src/ATen/native/quantized/cpu/qnnpack/scripts/build-local.sh:30: overridding ==> overriding
data/pytorch-1.7.0/.pc/shebang.patch/benchmarks/distributed/ddp/diff.py:41: ba ==> by, be
data/pytorch-1.7.0/.pc/shebang.patch/benchmarks/distributed/ddp/diff.py:43: ba ==> by, be
data/pytorch-1.7.0/.pc/shebang.patch/tools/nightly.py:213: conetxt ==> context, connect
data/pytorch-1.7.0/.pc/shebang.patch/tools/nightly.py:375: Get's ==> Gets
data/pytorch-1.7.0/.pc/shebang.patch/torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py:472: Unknow ==> Unknown
data/pytorch-1.7.0/.pc/shebang.patch/torch/utils/data/dataloader.py:341: everytime ==> every time
data/pytorch-1.7.0/.pc/shebang.patch/torch/utils/data/dataloader.py:341: reseting ==> resetting
data/pytorch-1.7.0/.pc/shebang.patch/torch/utils/data/dataloader.py:533: alreay ==> already
data/pytorch-1.7.0/.pc/shebang.patch/torch/utils/data/dataloader.py:676: separete ==> separate
data/pytorch-1.7.0/.pc/shebang.patch/torch/utils/data/dataloader.py:749: timeing ==> timing
data/pytorch-1.7.0/.pc/shebang.patch/torch/utils/data/dataloader.py:1132: Joinning ==> Joining
data/pytorch-1.7.0/.pc/shebang.patch/torch/utils/hipify/hipify_python.py:402: parantheses ==> parentheses