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Results 1 - 8 of 8 for Abs (0.22 sec)
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tensorflow/c/experimental/gradients/grad_test_helper.h
Model model, Model grad_model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, bool use_function, double abs_error = 1e-2); void CheckTensorValue(AbstractTensorHandle* t, absl::Span<const float> manuals, absl::Span<const int64_t> dims, double abs_error = 1e-2); Model BuildGradModel(Model forward, GradientRegistry registry); } // namespace internal } // namespace gradients
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
ASSERT_NEAR(dnumerical[j], danalytical[j], abs_error); } TF_DeleteTensor(analytical_tensor); TF_DeleteTensor(numerical_tensor); delete[] danalytical; delete[] dnumerical; outputs[i]->Unref(); } } void CheckTensorValue(AbstractTensorHandle* t, absl::Span<const float> manuals, absl::Span<const int64_t> dims, double abs_error) { TF_Tensor* analytical_tensor;
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/nn_grad_test.cc
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/eager/gradient_checker_test.cc
void CompareNumericalAndManualGradients( Model model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, int input_index, float* expected_grad, int num_grad, bool use_function, double abs_error = 1e-2) { Status s; AbstractTensorHandlePtr numerical_grad; { AbstractTensorHandle* numerical_grad_raw; s = CalcNumericalGrad(ctx, model, inputs, input_index, use_function,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 6.5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad_test.cc
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/array_grad_test.cc
ASSERT_EQ(errors::OK, status_.code()) << status_.message(); EXPECT_EQ(outputs[0], nullptr); ASSERT_NO_FATAL_FAILURE(CheckTensorValue(outputs[1], {1.0f}, /*dims*/ {}, /*abs_error*/ 0)); outputs[1]->Unref(); } #ifdef PLATFORM_GOOGLE INSTANTIATE_TEST_SUITE_P( UnifiedCAPI, CppGradients, ::testing::Combine(::testing::Values("graphdef", "mlir"),
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/eager/gradient_checker.cc
AbstractTensorHandle* f_outputs[1]; // Numerical Grad Check for (int i = 0; i < num_elems; i++) { // Get relative epsilon value float epsilon = theta_data[i] == 0 ? 1e-4 : std::abs(theta_data[i] * 1e-4); AbstractTensorHandlePtr two_eps; { AbstractTensorHandle* two_eps_raw = nullptr; TF_RETURN_IF_ERROR(TestScalarTensorHandle<float, TF_FLOAT>(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
RELEASE.md
little fidelity for improved speed. One can revert to the old behavior by specifying the attribute `dct_method='INTEGER_ACCURATE'`. * `tf.complex_abs` has been removed from the Python interface. `tf.abs` supports complex tensors and should be used instead. * In the C++ API (in tensorflow/cc), Input, Output, etc. have moved from the tensorflow::ops namespace to tensorflow. *
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)