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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. # # Pass --config=pip to run the same suite of tests. If you want to run just one # test for investigation, you'll need --config=pip_venv instead, and then you
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tensorflow/c/eager/c_api_remote_function_test.cc
} TEST(CAPI, RemoteExecuteSilentCopiesLocalAsyncFuncOrdering) { // A remote input may be not ready when we start running a function. Test that // the function execution should wait until the remote input is ready. TestRemoteExecuteSilentCopiesFunc(/*async=*/true, /*remote=*/false, /*heavy_load_on_streaming_rpc=*/true); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 3.6K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-in-play-services.md
the problem. If possible, please share a link to or attach code demonstrating the problem. **Any other info / logs** Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
/// /// Thread safety: /// The iterator and timestamp fields should only be accessed while holding /// the block-cache-wide mu_ instance variable. The state variable should only /// be accessed while holding the Block's mu lock. The data vector should only /// be accessed after state == FINISHED, and it should never be modified. /// /// In order to prevent deadlocks, never grab the block-cache-wide mu_ lock
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:46:34 GMT 2020 - 10.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// '*num_retvals' should be set to the size of this array. It is an error if // the size of 'retvals' is less than the number of outputs. This call sets // *num_retvals to the number of outputs. // // If async execution is enabled, the call may simply enqueue the execution // and return "non-ready" handles in `retvals`. Note that any handles contained
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tensorflow/c/eager/c_api_experimental.h
// APIs for generically dealing with op attributes (e.g. when forwarding them // through custom device implementations). // // TODO(allenl): Currently these are black boxes, but we should have some way to // inspect values. This would let people e.g. copy over most attributes and then // modify some based on their values. // A reference to an op's name -> attribute mapping typedef struct TFE_OpAttrs TFE_OpAttrs;
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CONTRIBUTING.md
it may slow down the tests for not running in parallel and may cause the test to timeout but it could be useful when you need to execute a single test or more in general your filtered/selected tests have a very low execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_helper.h
#define TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_GCS_HELPER_H_ #include <fstream> #include <string> class TempFile : public std::fstream { public: // We should specify openmode each time we call TempFile. TempFile(const std::string& temp_file_name, std::ios::openmode mode); TempFile(TempFile&& rhs); ~TempFile() override; const std::string getName() const; bool truncate();
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Jun 26 14:56:58 GMT 2020 - 1.2K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-converter-issue.md
If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title. ### 5. (optional) Any other info / logs
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tensorflow/c/eager/immediate_execution_tensor_handle.cc
device_name, "\")"); } Status ImmediateExecutionTensorHandle::SummarizeValue( std::string& summary) const { Status status; AbstractTensorPtr resolved( // TODO(allenl): Resolve should be const, and the caches that get updated // marked mutable. const_cast<ImmediateExecutionTensorHandle*>(this)->Resolve(&status)); if (!status.ok()) { return status; }
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