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tensorflow/c/eager/gradient_checker.cc
// Convert from AbstractTensor to TF_Tensor. TF_Tensor* theta_tensor; TF_RETURN_IF_ERROR(GetValue(theta, &theta_tensor)); // Get number of elements and fill data. int num_elems = TF_TensorElementCount(theta_tensor); vector<float> theta_data(num_elems); memcpy(theta_data.data(), TF_TensorData(theta_tensor), TF_TensorByteSize(theta_tensor)); // Initialize space for the numerical gradient.
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Sat Oct 12 05:11:17 GMT 2024 - 7.3K bytes - Click Count (0) -
tensorflow/c/eager/gradient_checker_test.cc
} TF_Tensor* numerical_tensor; s = GetValue(numerical_grad.get(), &numerical_tensor); ASSERT_EQ(errors::OK, s.code()) << s.message(); auto num_elem_numerical = TF_TensorElementCount(numerical_tensor); ASSERT_EQ(num_elem_numerical, num_grad); float* dnumerical = new float[num_elem_numerical]{0}; memcpy(&dnumerical[0], TF_TensorData(numerical_tensor),
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Sat Oct 12 05:11:17 GMT 2024 - 6.5K bytes - Click Count (0)