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tensorflow/c/BUILD
"//tensorflow:android": [ "//tensorflow/c/experimental/stream_executor:stream_executor_hdrs", "//tensorflow/core:portable_tensorflow_lib_lite", ], "//conditions:default": [ ":tf_tensor", "//tensorflow/c/experimental/stream_executor", "//tensorflow/c/experimental/stream_executor:stream_executor_internal", "//tensorflow/core:framework",
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tensorflow/BUILD
otherwise = [ "@local_xla//xla/stream_executor/cuda:all_runtime", "@local_xla//xla/stream_executor/cuda:cuda_driver", "@local_xla//xla/stream_executor/cuda:cuda_platform", "@local_xla//xla/stream_executor/cuda:cudnn_plugin", "@local_xla//xla/stream_executor/cuda:cufft_plugin", "@local_xla//xla/stream_executor:cuda_platform", ], ),
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tensorflow/c/c_api_macros_internal.h
// `struct_size` is used for struct member compatibility check between core TF // and plug-ins with the same C API minor version. More info here: // https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api/C_API_versioning_strategy.md #define TF_VALIDATE_STRUCT_SIZE(STRUCT_NAME, STRUCT_OBJ, SIZE_VALUE_NAME) \ do { \
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Mar 13 17:40:56 GMT 2023 - 2.5K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
if (TF_GetCode(status) != TF_OK) return -1; auto stream = gcs_file->gcs_client.ReadObject( bucket, object, gcs::ReadRange(offset, offset + buffer_size)); TF_SetStatusFromGCSStatus(stream.status(), status); if ((TF_GetCode(status) != TF_OK) && (TF_GetCode(status) != TF_OUT_OF_RANGE)) { return -1; } int64_t read; auto content_length = stream.headers().find("content-length");
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tensorflow/c/c_api_experimental_test.cc
// Load the library. TF_Status* status = TF_NewStatus(); string lib_path = tensorflow::GetDataDependencyFilepath(tensorflow::io::JoinPath( "tensorflow", "c", "experimental", "stream_executor", "test", "test_pluggable_device.so")); TF_Library* lib = TF_LoadPluggableDeviceLibrary(lib_path.c_str(), status); TF_Code code = TF_GetCode(status); string status_msg(TF_Message(status));
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_helper.h
#ifndef 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);
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) -
RELEASE.md
* Added function `experimental.extension_type.as_dict()`, which converts an instance of `tf.experimental.ExtensionType` to a `dict` representation. * `stream_executor` * Top level `stream_executor` directory has been deleted, users should use equivalent headers and targets under `compiler/xla/stream_executor`. * `tf.nn`
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tensorflow/c/eager/c_api_experimental.h
// have been executed. Note that "execution" here refers to kernel execution / // scheduling of copies, etc. Similar to sync execution, it doesn't guarantee // that lower level device queues (like GPU streams) have been flushed. // // This call may not block for execution of ops enqueued concurrently with this // call. TF_CAPI_EXPORT extern void TFE_ExecutorWaitForAllPendingNodes( TFE_Executor*, TF_Status* status);
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
#ifndef TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_RAM_FILE_BLOCK_CACHE_H_ #define TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_RAM_FILE_BLOCK_CACHE_H_ #include <functional> #include <iostream> #include <list> #include <map> #include <memory> #include <string> #include <vector> #include "absl/base/thread_annotations.h" #include "absl/synchronization/mutex.h"
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
==============================================================================*/ #include "tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h" #include <cstring> #include <memory> #include <sstream> #include <utility> #include "absl/synchronization/mutex.h" #include "tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h" namespace tf_gcs_filesystem {
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