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tensorflow/c/eager/c_api_unified_experimental.cc
using tensorflow::tracing::TracingTensorHandle; void TF_SetTracingImplementation(const char* name, TF_Status* s) { tsl::Set_TF_Status_from_Status(s, SetDefaultTracingEngine(name)); } // Creates a new TensorFlow function, it is an execution context attached to a // given tracing context. TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* s) { return wrap(CreateTracingExecutionContext(fn_name, s));
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for # TensorFlow python tests.
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tensorflow/c/eager/c_api.h
// Create a new TFE_TensorHandle with the same contents as 'h' but placed // in the memory of the device name 'device_name'. // If source and destination are the same device, then this creates a new handle // that shares the underlying buffer. Otherwise, it currently requires at least // one of the source or destination devices to be CPU (i.e., for the source or // destination tensor to be placed in host memory).
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tensorflow/c/c_api.cc
"and will trigger an error in the future. Either don't modify " "nodes after running them or create a new session."); } } } namespace { // Helper method that creates a shape handle for a shape described by dims. tensorflow::shape_inference::ShapeHandle ShapeHandleFromDims( tensorflow::shape_inference::InferenceContext* ic, int num_dims, const int64_t* dims) {
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tensorflow/c/env.h
// that the system default will be used. size_t guard_size; // The NUMA node to use, -1 implies that there should be no NUMA affinity for // this thread. int numa_node; } TF_ThreadOptions; // Creates the specified directory. Typical status code are: // * TF_OK - successfully created the directory // * TF_ALREADY_EXISTS - directory already exists // * TF_PERMISSION_DENIED - dirname is not writable
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat Jan 09 02:53:27 GMT 2021 - 9.6K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.h
// The dtype of the variable's buffer (input dtype for assignments, output // dtype of read operations). TF_DataType type_; }; // Creates a TFE_TensorHandle with value `v`. TensorHandlePtr FloatTensorHandle(float v, TF_Status* status); // Creates a rank-one TFE_TensorHandle with value `v`. TensorHandlePtr VectorFloatTensorHandle(const std::vector<float>& v, TF_Status* status);
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.github/workflows/create_issue.js
* limitations under the License. * ============================================================================= */ /** Extracts PR from commit message and creates a GitHub Issue on Rollback of PR Created issue is assigned to original PR owner and reviewer. @param {!object} github enables querying for PR and also create issue using rest endpoint
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tensorflow/c/eager/abstract_context.h
// lifetime through ref counting. Thus clients MUST call Release() in order to // destroy an instance of this class. virtual void Release() = 0; // Creates an operation builder and ties it to this context. // The returned object can be used for setting operation's attributes, // adding inputs and finally executing (immediately or lazily as in tracing) // it in this context.
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tensorflow/c/eager/parallel_device/parallel_device.h
// TPUReplicatedInput and TPUReplicatedOutput respectively. For example, with // two component devices, running `x = TPUReplicatedInput(inputs=[a, b])` on the // parallel device creates a parallel tensor `x` with `a` on the first of // `underlying_devices` and `b` on the second. Running `a_unpacked, b_unpacked = // TPUReplicatedOutput(input=x, num_replicas=2)` un-packs the parallel tensor // into its components.
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tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
} // Passed to `TF_NewTensor` to indicate how an array of floats should be // deleted. static void FloatDeallocator(void* data, size_t, void* arg) { delete[] static_cast<float*>(data); } // Creates a TFE_TensorHandle with value `v`. TensorHandlePtr FloatTensorHandle(float v, TF_Status* status) { const int num_bytes = sizeof(float); float* values = new float[1]; values[0] = v;
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