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CONTRIBUTING.md
Once you are setup to build from source, you can run the tests: ```bash bazel run //tensorflow/tools/docs:tf_doctest ``` or ```bash bazel run //tensorflow/tools/docs:tf_doctest -- --module=ops.array_ops ``` The `--module` is relative to `tensorflow.python`. #### Debug builds
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tensorflow/c/BUILD
], "//conditions:default": [], }) + if_tensorrt([ "//tensorflow/compiler/tf2tensorrt:trt_convert_api", ]), ) # Check that c_api_no_xla does not depend on xla. check_deps( name = "c_api_no_xla_check_deps", disallowed_deps = ["//tensorflow/compiler/jit:xla_kernel_creator"], deps = [":c_api_no_xla"], ) tf_cuda_library(
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tensorflow/c/eager/c_api.cc
int num_handles, TF_Status* status, void* device_info) { TF_SetStatus(status, TF_UNIMPLEMENTED, "This custom device does not support packing tensors."); return nullptr; } } // namespace extern "C" { bool TFE_IsCustomDevice(TFE_Context* ctx, const char* device_name) {
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tensorflow/c/eager/tape.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_TAPE_H_ #define TENSORFLOW_C_EAGER_TAPE_H_ // Language-agnostic gradient tape. Does not perform backpropagation, just // maintains the data structures required to do so. #include <stack> #include <unordered_map> #include <unordered_set> #include <vector>
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/c_api_experimental.cc
// caller of event_mgr->ThenExecute() blocks on the completion of the callback // (as in the case of ConstOp kernel creation on GPU, which involves copying a // CPU tensor to GPU). // Setting a larger thread pool does not help with the Swift caller, as we use // a different TFE context for each thread of execution (for running graph // functions, and their send/recvs corountines). config.set_inter_op_parallelism_threads(1);
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
if (fflush(posix_file->handle) != 0) TF_SetStatusFromIOError(status, errno, posix_file->filename); } static void Sync(const TF_WritableFile* file, TF_Status* status) { // For historical reasons, this does the same as `Flush` at the moment. // TODO(b/144055243): This should use `fsync`/`sync`. Flush(file, status); } static void Close(const TF_WritableFile* file, TF_Status* status) {
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tensorflow/c/c_api_function.cc
"' has a reference type ", DataTypeString(dt)) : absl::OkStatus(); } // Converts `ninputs` and `inputs` into `inputs_tensors` and `input_nodes` and // does various checks while doing so. `input_nodes` will contain the same // information as input_tensors just in a different structure to make // following processing easier. TODO(iga): Simplify this nested structure. Status ProcessInputs(
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