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tensorflow/c/c_api_function.cc
// 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( const TF_Graph* fn_body, const char* fn_name, int ninputs, const TF_Output* inputs, std::vector<OutputTensor>* input_tensors,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
tensorflow/c/c_api_test.cc
TF_Operation* neg = TF_GraphOperationByName(graph, "imported/neg"); ASSERT_TRUE(scalar != nullptr); ASSERT_TRUE(feed != nullptr); ASSERT_TRUE(neg != nullptr); // Test basic structure of the imported graph. EXPECT_EQ(0, TF_OperationNumInputs(scalar)); EXPECT_EQ(0, TF_OperationNumInputs(feed)); ASSERT_EQ(1, TF_OperationNumInputs(neg)); TF_Output neg_input = TF_OperationInput({neg, 0});
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
RELEASE.md
import. * Breaking change to `tf.contrib.data.Dataset` APIs that expect a nested structure. Lists are now converted to `tf.Tensor` implicitly. You may need to change uses of lists to tuples in existing code. In addition, dicts are now supported as a nested structure. ## Changes to contrib APIs * Adds tf.contrib.nn.rank_sampled_softmax_loss, a sampled-softmax variant that
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/BUILD
package_group(name = "types_allowlist") # Packages that use StructuredTensors. # TODO(b/159007891) Remove this package once StructuredTensor is exported. # LINT.IfChange package_group(name = "structured_tensor_allowlist") # LINT.ThenChange(copy.bara.sky) filegroup( name = "intel_binary_blob", data = if_mkl_ml( [ "@local_xla//xla/tsl/mkl:intel_binary_blob", ],
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 09 18:15:11 GMT 2024 - 53.4K bytes - Viewed (8) -
tensorflow/c/eager/tape.h
#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> #include "tensorflow/core/config/flag_defs.h" #include "tensorflow/core/config/flags.h"
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/eager/gradient_checker.cc
// Get theta shape and store in theta_dims. int num_dims = TF_NumDims(theta_tensor); vector<int64_t> theta_dims(num_dims); GetDims(theta_tensor, theta_dims.data()); // Initialize auxilary data structures. vector<float> thetaPlus_data(num_elems); vector<float> thetaMinus_data(num_elems); AbstractTensorHandle* f_outputs[1]; // Numerical Grad Check for (int i = 0; i < num_elems; i++) {
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