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tensorflow/c/eager/c_api_experimental.h
// custom devices will fail. // // `device_name` must not name an existing physical or custom device. It must // follow the format: // // /job:<name>/replica:<replica>/task:<task>/device:<type>:<device_num> // // If the device is successfully registered, `status` is set to TF_OK. Otherwise // the device is not usable. In case of a bad status, `device.delete_device` is
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test_util.cc
// requests been enqueued. for (int i = 0; i < 50; ++i) { handles_task0.push_back(TestMatrixTensorHandle(ctx)); } } const char task1_name[] = "/job:localhost/replica:0/task:1/device:CPU:0"; const char task2_name[] = "/job:localhost/replica:0/task:2/device:CPU:0"; std::vector<TFE_TensorHandle*> handles_task2; for (auto* h_task0 : handles_task0) { handles_task2.push_back(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 9.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
for (int i = 0; i < num_values; ++i) { op_->colocation_constraints.emplace(static_cast<const char*>(values[i]), lengths[i]); } } else { std::vector<tensorflow::StringPiece> v; v.reserve(num_values); for (int i = 0; i < num_values; ++i) { v.emplace_back(static_cast<const char*>(values[i]), lengths[i]); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
tensorflow/c/eager/unified_api_testutil.cc
PartialTensorShape shape; TF_RETURN_IF_ERROR(input->Shape(&shape)); TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingContext>(ctx)->AddParameter( input->DataType(), shape, &handle)); params->emplace_back(handle); } return absl::OkStatus(); } // Runs `model` maybe wrapped in a function. Status RunModel(Model model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
} auto* config = server_def.mutable_default_session_config(); config->mutable_experimental()->set_collective_group_leader( tensorflow::strings::StrCat("/job:", job_name, "/replica:0/task:", 0)); auto* rewrite_options = config->mutable_graph_options()->mutable_rewrite_options(); rewrite_options->set_scoped_allocator_optimization( tensorflow::RewriterConfig::ON);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
LICENSE
APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Nov 29 17:31:56 GMT 2021 - 13.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.cc
const char* prefix, TF_Status* status) { std::vector<std::unique_ptr<tensorflow::Device>> devices; if (prefix == nullptr || strlen(prefix) == 0) prefix = "/job:localhost/replica:0/task:0"; tensorflow::SessionOptions sess_options; (*sess_options.config.mutable_device_count())["CPU"] = num_cpus; status->status = tensorflow::DeviceFactory::AddCpuDevices(sess_options, prefix, &devices);
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) -
tensorflow/c/eager/BUILD
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 33.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
return nullptr; } std::vector<std::unique_ptr<tensorflow::Device>> devices; status->status = tensorflow::DeviceFactory::AddDevices( opts->session_options.options, "/job:localhost/replica:0/task:0", &devices); if (!status->status.ok()) return nullptr; std::unique_ptr<tensorflow::DeviceMgr> device_mgr( new tensorflow::DynamicDeviceMgr(std::move(devices)));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 23 06:55:53 GMT 2023 - 46.9K bytes - Viewed (0)