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82 lines
2.9 KiB
82 lines
2.9 KiB
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
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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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#pragma once
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#include <algorithm>
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#include <vector>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/math_function.h"
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namespace paddle {
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namespace operators {
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class BatchSizeLikeOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext *ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("Input"),
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"Input(Input) of %s should not be null.", Type());
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of %s should not be null.", Type());
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auto &shape = ctx->Attrs().Get<std::vector<int>>("shape");
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PADDLE_ENFORCE_GT(shape.size(), 0);
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std::vector<int64_t> shape_int64(shape.size(), 0);
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std::transform(shape.begin(), shape.end(), shape_int64.begin(),
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[](int a) { return static_cast<int64_t>(a); });
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auto output_dim = framework::make_ddim(shape_int64);
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int input_dim_idx = ctx->Attrs().Get<int>("input_dim_idx");
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PADDLE_ENFORCE_GE(input_dim_idx, 0);
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PADDLE_ENFORCE_GT(ctx->GetInputDim("Input").size(), input_dim_idx);
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int output_dim_idx = ctx->Attrs().Get<int>("output_dim_idx");
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PADDLE_ENFORCE_GE(output_dim_idx, 0);
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PADDLE_ENFORCE_GT(static_cast<int>(shape.size()), output_dim_idx);
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output_dim[output_dim_idx] = ctx->GetInputDim("Input")[input_dim_idx];
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ctx->SetOutputDim("Out", output_dim);
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}
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};
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class BatchSizeLikeOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() final {
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AddInput(
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"Input",
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"Tensor whose input_dim_idx'th dimension specifies the batch_size");
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AddOutput("Out",
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"Tensor of specified shape will be filled "
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"with the specified value");
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AddAttr<std::vector<int>>("shape", "The shape of the output");
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AddAttr<int>("input_dim_idx",
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"default 0. The index of input's batch size dimension")
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.SetDefault(0);
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AddAttr<int>("output_dim_idx",
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"default 0. The index of output's batch size dimension")
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.SetDefault(0);
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Apply();
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}
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protected:
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virtual void Apply() = 0;
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};
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DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(BatchSizeLikeNoNeedBufferVarsInference,
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"Input");
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} // namespace operators
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} // namespace paddle
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