dc86bb5296
If pybind11 is installed on the system its headers are already captured by @local_config_python//:python_headers, so the system lib only needs to depend on that. When installed correctly, includes should be #include "pybind11/...", the bundled pybind11 is based off the source repo which does not match the install paths. Use bazels strip_include_prefix to align the bundled headers correctly. Signed-off-by: Jason Zaman <jason@perfinion.com>
59 lines
2.2 KiB
C++
59 lines
2.2 KiB
C++
/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <string>
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#include "pybind11/pybind11.h"
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#include "tensorflow/core/common_runtime/device.h"
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#include "tensorflow/core/common_runtime/device_factory.h"
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#include "tensorflow/core/framework/device_attributes.pb.h"
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#include "tensorflow/core/lib/core/errors.h"
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#include "tensorflow/core/protobuf/config.pb.h"
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#include "tensorflow/core/public/session_options.h"
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#include "tensorflow/python/lib/core/pybind11_proto.h"
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#include "tensorflow/python/lib/core/pybind11_status.h"
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namespace py = ::pybind11;
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PYBIND11_MODULE(_pywrap_device_lib, m) {
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m.def("list_devices", [](py::object serialized_config) {
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tensorflow::ConfigProto config;
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if (!serialized_config.is_none()) {
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config.ParseFromString(
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static_cast<std::string>(serialized_config.cast<py::bytes>()));
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}
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tensorflow::SessionOptions options;
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options.config = config;
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std::vector<std::unique_ptr<tensorflow::Device>> devices;
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tensorflow::MaybeRaiseFromStatus(tensorflow::DeviceFactory::AddDevices(
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options, /*name_prefix=*/"", &devices));
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py::list results;
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std::string serialized_attr;
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for (const auto& device : devices) {
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if (!device->attributes().SerializeToString(&serialized_attr)) {
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tensorflow::MaybeRaiseFromStatus(tensorflow::errors::Internal(
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"Could not serialize DeviceAttributes to bytes"));
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}
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// The default type caster for std::string assumes its contents
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// is UTF8-encoded.
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results.append(py::bytes(serialized_attr));
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}
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return results;
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});
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}
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