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AUTHORS
# This is the official list of TensorFlow authors for copyright purposes. # This file is distinct from the CONTRIBUTORS files. # See the latter for an explanation. # Names should be added to this file as: # Name or Organization <email address> # The email address is not required for organizations. Google Inc. Yuan Tang <******@****.***>
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RELEASE.md
[`tf.debugging`](https://www.tensorflow.org/versions/master/api_docs/python/tf/debugging), [`tf.dtypes`](https://www.tensorflow.org/versions/master/api_docs/python/tf/dtypes), [`tf.image`](https://www.tensorflow.org/versions/master/api_docs/python/tf/image), [`tf.io`](https://www.tensorflow.org/versions/master/api_docs/python/tf/io), [`tf.linalg`](https://www.tensorflow.org/versions/master/api_docs/python/tf/linalg),
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ci/official/README.md
# Ex. disk_cache -- Use a local cache # Ex. public_cache -- Use TF's public cache (read-only) # Ex. public_cache_push -- Use TF's public cache (read and write, Googlers only) # Ex. rbe -- Use RBE for faster builds (Googlers only; see below) # Ex. no_docker -- Disable docker on enabled platforms # See full examples below for more details on these. Some other modifiers are:
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
// Deletes the GCS directory marker if it exists. void DeleteDir(const TF_Filesystem* filesystem, const char* path, TF_Status* status) { // A directory is considered empty either if there are no matching objects // with the corresponding name prefix or if there is exactly one matching // object and it is the directory marker. Therefore we need to retrieve
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tensorflow/c/eager/c_api_experimental.h
// creating a new op every time. If `raw_device_name` is `NULL` or empty, it // does not set the device name. If it's not `NULL`, then it attempts to parse // and set the device name. It's effectively `TFE_OpSetDevice`, but it is faster // than separately calling it because if the existing op has the same // `raw_device_name`, it skips parsing and just leave as it is. TF_CAPI_EXPORT extern void TFE_OpReset(TFE_Op* op_to_reset,
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tensorflow/BUILD
visibility = ["//visibility:public"], ) # Sometimes Bazel reports darwin_x86_64 as "darwin" and sometimes as # "darwin_x86_64". The former shows up when building on a Mac x86_64 host for a Mac x86_64 target. # The latter shows up when cross-compiling for Mac x86_64 from a Mac ARM machine and in internal # Google builds. config_setting( name = "macos_x86_64_default", constraint_values = if_google(
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
EXPECT_EQ(got_n, want_n); calls++; memset(buffer, 'x', got_n); TF_SetStatus(status, TF_OK, ""); return got_n; }; // If block_size, max_bytes, or both are zero, or want_n is larger than // max_bytes the cache is a pass-through. tf_gcs_filesystem::RamFileBlockCache cache1(1, 0, 0, fetcher); tf_gcs_filesystem::RamFileBlockCache cache2(0, 1, 0, fetcher);
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# their dependencies. It's a rewritten version of the "smoke test", an older # Python script that was very difficult to understand. See # https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py @test "Pip package includes all required //tensorflow dependencies" { # grep patterns for packages whose dependencies can be ignored
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tensorflow/c/eager/c_api.h
// a copy, returns the destination device of the copy. Note that the returned // device name is not always the device holding the tensor handle's memory. If // you want the latter, use TFE_TensorHandleBackingDeviceName. This function // will block till the operation that produces `h` has completed. TF_CAPI_EXPORT extern const char* TFE_TensorHandleDeviceName( TFE_TensorHandle* h, TF_Status* status);
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tensorflow/c/c_api.h
// // Either this or TF_AbortWhile() must be called after a successful // TF_NewWhile() call. TF_CAPI_EXPORT extern void TF_FinishWhile(const TF_WhileParams* params, TF_Status* status, TF_Output* outputs); // Frees `params`s resources without building a while loop. `params` is no // longer valid after this returns. Either this or TF_FinishWhile() must be
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