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tensorflow/c/c_api.cc
status->status = session->session->Extend(std::move(graph_def)); if (!status->status.ok()) { // Contract is we always delete input_values[i]. return false; } // Note: session->session is not modified if Extend() fails, so // we only set last_num_graph_nodes if it succeeds. session->last_num_graph_nodes = num_nodes; } else { session->graph->mu.unlock();
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/c_api_experimental.cc
gpu_options->set_allow_growth(gpu_memory_allow_growth); (*config.mutable_device_count())["CPU"] = num_cpu_devices; // TODO(b/113217601): This is needed for EagerContext::runner_ to use a // threadpool, so that we avoid the possibility of running the runner_ in the // threadpool of GPU event mgr, as that can trigger more callbacks to be // scheduled on that same threadpool, causing a deadlock in cases where the
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/c_api_function.cc
if (iter == input_nodes.end()) { // This node is not referenced in inputs. Add it to the body. body_nodes->push_back(node); } else { // This node is referenced in inputs. Currently, we place an // artificial restriction and require that when num_opers=-1, such // nodes must have a single output. if (node->num_outputs() != 1) { return InvalidArgument(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
tensorflow/c/c_api_test.cc
src.flat<tstring>()(i) = data[i]; } TF_Tensor* dst = TF_TensorFromTensor(src, &status); ASSERT_TRUE(status.ok()) << status.message(); // Convert back to a C++ Tensor and ensure we get expected output. Tensor output; ASSERT_EQ(absl::OkStatus(), TF_TensorToTensor(dst, &output)) << line; ASSERT_EQ(src.NumElements(), output.NumElements()) << line;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/eager/c_api_experimental.cc
tensorflow::unwrap(handles[i]); if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) { // One of the inputs we're trying to pack is on a custom device. We'll let // the first custom device we see handle all of the packing. auto* custom_device_handle = tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>( unwrapped_handle);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3)