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Results 1 - 4 of 4 for CompareNumericalAndAutodiffGradients (0.27 sec)
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tensorflow/c/experimental/gradients/math_grad_test.cc
// AddV2Registerer. status_ = registry_.Register("AddV2", AddRegisterer); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); ASSERT_NO_FATAL_FAILURE(CompareNumericalAndAutodiffGradients( AddModel, BuildGradModel(AddModel, registry_), immediate_execution_ctx_.get(), {x.get(), y.get()}, UseFunction())); } TEST_P(CppGradients, TestExpGrad) { AbstractTensorHandlePtr x;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
immediate_execution_ctx_.get(), X_vals, X_dims, 2, &X_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); X.reset(X_raw); } ASSERT_NO_FATAL_FAILURE(CompareNumericalAndAutodiffGradients( ReluModel, ReluGradModel, immediate_execution_ctx_.get(), {X.get()}, UseFunction())); // Mathematically, Relu isn't differentiable at `0`. So `gradient_checker` // does not work with it.
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/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, absl::Span<AbstractTensorHandle* const> inputs, bool use_function, double abs_error = 1e-2);
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/grad_test_helper.cc
#include "tensorflow/c/experimental/gradients/tape/tape_context.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal { void CompareNumericalAndAutodiffGradients( Model model, Model grad_model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, bool use_function, double abs_error) { auto num_inputs = inputs.size();
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0)