forked from huawei/mindspore2022
50 lines
2.5 KiB
C++
50 lines
2.5 KiB
C++
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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 "ir/param_value.h"
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#include "pybind11/pybind11.h"
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#include "pybind_api/api_register.h"
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namespace mindspore {
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namespace py = pybind11;
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REGISTER_PYBIND_DEFINE(ParamValue, ([](const py::module *m) {
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(void)py::class_<ParamValue, ParamValuePtr>(*m, "ParamValue")
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.def(py::init())
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.def("clone", &ParamValue::Clone)
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.def_property("data", &ParamValue::value, &ParamValue::set_value)
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.def_property("name", &ParamValue::name, &ParamValue::set_name)
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.def_property("requires_grad", &ParamValue::requires_grad, &ParamValue::set_requires_grad)
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.def_property("layerwise_parallel", &ParamValue::layerwise_parallel,
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&ParamValue::set_layerwise_parallel)
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.def(py::pickle(
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[](const ParamValue &p) { // __getstate__
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return py::make_tuple(py::cast(p.value()), p.name(), p.requires_grad(),
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p.layerwise_parallel());
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},
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[](const py::tuple &t) { // __setstate__
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if (t.size() != 6) {
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std::runtime_error("Invalid state for ParamValue!");
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}
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ParamValuePtr p = std::make_shared<ParamValue>();
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p->set_value(t[0].cast<tensor::TensorPtr>());
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p->set_name(t[1].cast<std::string>());
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p->set_requires_grad(t[2].cast<bool>());
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p->set_layerwise_parallel(t[3].cast<bool>());
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return p;
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}));
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}));
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} // namespace mindspore
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