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Results 1 - 3 of 3 for store2 (0.14 sec)
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tensorflow/c/c_api.cc
result = session->PRun(handle, input_pairs, output_tensor_names, &outputs); } if (!result.ok()) { status->status = result; return; } // Store results in c_outputs[] for (int i = 0; i < noutputs; ++i) { const Tensor& src = outputs[i]; if (!src.IsInitialized() || src.NumElements() == 0) { c_outputs[i] =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
TF_TensorByteSize(theta_tensor)); // Initialize space for the numerical gradient. vector<float> dtheta_approx(num_elems); // Get theta shape and store in theta_dims. int num_dims = TF_NumDims(theta_tensor); vector<int64_t> theta_dims(num_dims); GetDims(theta_tensor, theta_dims.data()); // Initialize auxilary data structures.
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) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
if (UseFunction()) { // TODO(b/168850692): Enable this. GTEST_SKIP() << "Can't take gradient of " "SparseSoftmaxCrossEntropyWithLogits in tracing mode."; } // Score float X_vals[] = {1.0f, 2.0f, 3.0f, -5.0f, -4.0f, -3.0f, 2.0f, 0.0f, -1.0f}; int64_t X_dims[] = {3, 3}; AbstractTensorHandlePtr X; { AbstractTensorHandle* X_raw;
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)