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>
49 lines
2.1 KiB
C++
49 lines
2.1 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 "absl/strings/string_view.h"
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#include "pybind11/pybind11.h"
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#include "pybind11/pytypes.h"
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#include "tensorflow/core/util/events_writer.h"
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#include "tensorflow/python/lib/core/pybind11_absl.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_events_writer, m) {
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py::class_<tensorflow::EventsWriter> events_writer_class(m, "EventsWriter");
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events_writer_class.def(py::init<const std::string&>())
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.def("InitWithSuffix",
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[](tensorflow::EventsWriter& self, const std::string& suffix) {
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return self.InitWithSuffix(suffix);
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})
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.def("FileName",
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[](tensorflow::EventsWriter& self) { return self.FileName(); })
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.def("_WriteSerializedEvent",
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[](tensorflow::EventsWriter& self, const std::string& event_str) {
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self.WriteSerializedEvent(event_str);
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})
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.def("Flush", [](tensorflow::EventsWriter& self) { return self.Flush(); })
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.def("Close", [](tensorflow::EventsWriter& self) { return self.Close(); })
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.def("WriteEvent",
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[](tensorflow::EventsWriter& self, const py::object obj) {
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// Verify the proto type is an event prior to writing.
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tensorflow::CheckProtoType(obj, "tensorflow.Event");
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self.WriteSerializedEvent(
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obj.attr("SerializeToString")().cast<std::string>());
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});
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};
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