51 lines
1.7 KiB
51 lines
1.7 KiB
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include "paddle/fluid/framework/eigen.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/platform/enforce.h"
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namespace paddle {
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namespace operators {
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template <typename T>
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class AssignValueKernel : public framework::OpKernel<T> {
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public:
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virtual void Compute(const framework::ExecutionContext& ctx) const {
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auto shape = ctx.Attr<std::vector<int>>("shape");
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auto* out = ctx.Output<framework::Tensor>("Out");
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int dtype = ctx.Attr<int>("dtype");
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const char* value_name = nullptr;
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switch (dtype) {
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case framework::proto::DataType::INT32:
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value_name = "int32_values";
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break;
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case framework::proto::DataType::FP32:
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value_name = "fp32_values";
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break;
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default:
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PADDLE_THROW("Unsupported dtype for assign_value_op: %d", dtype);
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break;
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}
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auto values = ctx.Attr<std::vector<T>>(value_name);
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framework::TensorFromVector(values, ctx.device_context(), out);
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out->Resize(framework::make_ddim(shape));
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}
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};
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} // namespace operators
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} // namespace paddle
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