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tensorflow/c/experimental/gradients/nn_grad_test.cc
limitations under the License. ==============================================================================*/ #include "tensorflow/c/experimental/gradients/nn_grad.h" #include "tensorflow/c/eager/c_api_test_util.h" #include "tensorflow/c/eager/unified_api_testutil.h" #include "tensorflow/c/experimental/gradients/grad_test_helper.h" #include "tensorflow/c/experimental/gradients/tape/tape_context.h" #include "tensorflow/c/experimental/ops/nn_ops.h"
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
TF_DeleteStatus(s_); } void TestGradientsSuccess(bool grad_inputs_provided) { TF_Output inputs[2]; TF_Output outputs[1]; TF_Output grad_outputs[2]; TF_Output expected_grad_outputs[2]; BuildSuccessGraph(inputs, outputs); BuildExpectedGraph(grad_inputs_provided, expected_grad_outputs); AddGradients(grad_inputs_provided, nullptr, inputs, 2, outputs, 1,
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) -
tensorflow/c/experimental/gradients/nn_grad.cc
absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { // Grad for Softmax Input TF_RETURN_IF_ERROR(BroadcastMul( ctx, grad_outputs[0], forward_outputs_[1], grad_inputs.subspan(0, 1))); // upstream_grad * local softmax grad // Grad for labels is null grad_inputs[1] = nullptr; return absl::OkStatus(); }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_NN_GRAD_H_ #define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_NN_GRAD_H_ #include "tensorflow/c/eager/gradients.h" namespace tensorflow { namespace gradients { GradientFunction* ReluRegisterer(const ForwardOperation& op);
C - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Dec 03 22:28:48 GMT 2020 - 1.2K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.h
#ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_GRAD_TEST_HELPER_H_ #define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_GRAD_TEST_HELPER_H_ #include "tensorflow/c/eager/gradients.h" #include "tensorflow/c/eager/unified_api_testutil.h" namespace tensorflow { namespace gradients { namespace internal { void CompareNumericalAndAutodiffGradients( Model model, Model grad_model, AbstractContext* ctx,
C - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Jan 14 20:36:51 GMT 2021 - 1.5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
==============================================================================*/ #include "tensorflow/c/experimental/gradients/array_grad.h" #include "tensorflow/c/eager/c_api_test_util.h" #include "tensorflow/c/eager/c_api_unified_experimental_internal.h" #include "tensorflow/c/eager/unified_api_testutil.h" #include "tensorflow/c/experimental/gradients/grad_test_helper.h" #include "tensorflow/c/experimental/gradients/tape/tape_context.h"
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.cc
absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { // TODO(b/161805092): Support broadcasting. DCHECK(grad_outputs[0]); grad_inputs[0] = grad_outputs[0]; grad_inputs[1] = grad_outputs[0]; grad_inputs[0]->Ref(); grad_inputs[1]->Ref(); return absl::OkStatus(); }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_MATH_GRAD_H_ #define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_MATH_GRAD_H_ #include "tensorflow/c/eager/gradients.h" namespace tensorflow { namespace gradients { GradientFunction* AddRegisterer(const ForwardOperation& op);
C - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Dec 03 22:28:48 GMT 2020 - 1.5K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.h
namespace tensorflow { namespace gradients { /* Returns numerical grad inside `dtheta_approx` given `forward` model and * parameter specified by `input_index`. * * I.e. if y = <output of the forward model> and w = inputs[input_index], * this will calculate dy/dw numerically. * * `use_function` indicates whether to use graph mode(true) or eager(false). * * `numerical_grad` is the pointer to the AbstractTensorHandle* which will
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 02:34:32 GMT 2020 - 1.8K bytes - Viewed (0) -
tensorflow/c/c_test_util.cc
std::vector<std::pair<string, string>> GetGradDefs( const tensorflow::GraphDef& graph_def) { std::vector<std::pair<string, string>> grads; for (const tensorflow::GradientDef& grad : graph_def.library().gradient()) { grads.emplace_back(grad.function_name(), grad.gradient_func()); } std::sort(grads.begin(), grads.end()); return grads; } std::vector<string> GetFuncNames(const tensorflow::GraphDef& graph_def) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2)