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CONTRIBUTING.md
Use `pylint` to check your Python changes. To install `pylint` and check a file with `pylint` against TensorFlow's custom style definition: ```bash pip install pylint pylint --rcfile=tensorflow/tools/ci_build/pylintrc myfile.py ``` Note `pylint --rcfile=tensorflow/tools/ci_build/pylintrc` should run from the top level tensorflow directory. #### Coding style for other languages
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tensorflow/c/eager/abstract_tensor_handle.h
virtual tensorflow::Status Shape( tensorflow::PartialTensorShape* shape) const = 0; // Returns tensor (full) type. // While there is no immediate plan to deprecate dtype and shape in favor // of only using full type type information, this is a future possibility. // // Note that map_dtype_to_child_of_tensor() from core/framework/types.h // can be used to set a FullTypeDef based on dtype in a derived class if // appropriate.
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ci/official/requirements_updater/README.md
All the files referenced below are located in the same directory as this README, unless indicated otherwise. 1) Add the new version to the `VERSIONS` variable inside `tensorflow/tools/toolchains/python/python_repo.bzl`. \ While this isn't necessary for running the updater, it is required for actually using the new version with Tensorflow. 2) In the `WORKSPACE` file, add the new version to the `python_versions`
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tensorflow/c/env_test.cc
#define ASSERT_TF_OK(x) ASSERT_EQ(TF_OK, TF_GetCode(x)) TEST(TestEnv, TestDirHandling) { TF_StringStream* tempdirs = TF_GetLocalTempDirectories(); const char* tempdir; bool found = false; while (TF_StringStreamNext(tempdirs, &tempdir)) { found = true; TF_Status* s = TF_NewStatus(); ::tensorflow::string dirpath = ::tensorflow::io::JoinPath(tempdir, "somedir");
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tensorflow/c/experimental/grappler/grappler.cc
"struct_size field in " #STRUCT_NAME \ " must be set to " #SIZE_VALUE_NAME "."); \ } \ } while (0) #define VALIDATE_MEMBER(STRUCT_NAME, STRUCT_OBJ, NAME) \ do { \ if (STRUCT_OBJ.NAME == 0) { \
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tensorflow/c/BUILD
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tensorflow/c/eager/c_api_experimental.h
// modify some based on their values. // A reference to an op's name -> attribute mapping typedef struct TFE_OpAttrs TFE_OpAttrs; // Fetch a reference to `op`'s attributes. The returned reference is only valid // while `op` is alive. TF_CAPI_EXPORT extern const TFE_OpAttrs* TFE_OpGetAttrs(const TFE_Op* op); // Add attributes in `attrs` to `op`. // // Does not overwrite or update existing attributes, but adds new ones.
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ci/official/containers/linux_arm64/builder.devtoolset/fixlinks_aarch64.sh
# limitations under the License. # ============================================================================== # # Re-direct all links in $1 that are relative to be canonical BASE="$1" find "${BASE}" -type l | \ while read l ; do if [[ "$(readlink "$l")" == \.\./* ]]; then CANONICAL="$(readlink "$l")"; rm "$l"; ln -s "${CANONICAL}" "$l" fi
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tensorflow/c/experimental/filesystem/plugins/posix/copy_file_linux.cc
int CopyFileContents(int dst_fd, int src_fd, off_t size) { off_t offset = 0; int bytes_transferred = 0; int rc = 1; // When `sendfile` returns 0 we stop copying and let callers handle this. while (offset < size && rc > 0) { // Use uint64 for safe compare SSIZE_MAX uint64_t chunk = size - offset; if (chunk > SSIZE_MAX) chunk = SSIZE_MAX;
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tensorflow/c/c_api_function_test.cc
// Outputs of the while loop corresponding to the two inputs above // The first one will the function's output std::vector<TF_Output> outputs; // Add while loop to func_graph_ { // The inputs to the while loop std::vector<TF_Output> inputs = {{feed1, 0}, {feed2, 0}}; std::unique_ptr<TF_WhileParams> params(new TF_WhileParams(
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