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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/experimental/gradients/tape/tape_operation.cc
} // TODO(b/166669239): This is needed to support AttrBuilder::Get for string // attributes. Number type attrs and DataType attrs work fine without this. // Consider getting rid of this and making the behavior between number types // and string consistent. forward_op_.attrs.BuildNodeDef(); // TODO(b/170307493): Populate skip_input_indices here. std::unique_ptr<GradientFunction> backward_fn;
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jun 07 01:53:35 GMT 2022 - 9K bytes - Viewed (1) -
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.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/experimental/gradients/not_differentiable.cc
namespace tensorflow { namespace gradients { Status NotDifferentiableGradientFunction::Compute( AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) { for (int i = 0; i < grad_inputs.size(); i++) { grad_inputs[i] = nullptr; } return OkStatus(); } Status RegisterNotDifferentiable(GradientRegistry* registry, const string& op) {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Jun 15 01:15:58 GMT 2022 - 1.3K 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/experimental/gradients/array_grad.cc
auto grad_input = grad_outputs[i]; // TODO(srbs): Should we add a copy contructor to AbstractTensorHandle // that takes care of this similar to `Tensor`? if (grad_input) { grad_input->Ref(); } grad_inputs[i] = grad_input; } return absl::OkStatus(); } ~IdentityNGradientFunction() override {} }; } // namespace
C++ - Registered: Tue Apr 09 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 1.6K bytes - Viewed (0)