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84 lines
3.1 KiB
84 lines
3.1 KiB
/* Copyright (c) 2018 PaddlePaddle 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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#include "paddle/fluid/operators/sampling_id_op.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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class SamplingIdOp : 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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OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "SampleIn");
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OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "X", "SampleOut");
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PADDLE_ENFORCE_LT(
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ctx->Attrs().Get<float>("min"), ctx->Attrs().Get<float>("max"),
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platform::errors::InvalidArgument(
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"min must less then max, but here min is %f, max is %f",
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ctx->Attrs().Get<float>("min"), ctx->Attrs().Get<float>("max")));
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auto input_dims = ctx->GetInputDim("X");
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PADDLE_ENFORCE_EQ(
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input_dims.size(), 2,
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platform::errors::InvalidArgument(
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"Input(X, Filter) should be 2-D tensor. But X dim is %d",
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input_dims.size()));
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auto dim0 = input_dims[0];
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framework::DDim dims = framework::make_ddim({dim0});
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ctx->SetOutputDim("Out", dims);
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ctx->ShareLoD("X", "Out");
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}
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};
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class SamplingIdOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X",
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"The input tensor of softmax. "
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"2-D with shape [batch_size, input_feature_dimensions].");
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AddOutput("Out", "SamplingId data tensor.");
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AddComment(R"DOC(
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SamplingId Operator.
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A layer for sampling id from multinomial distribution from the
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input. Sampling one id for one sample.)DOC");
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AddAttr<float>("min", "Minimum value of random. (float, default 0.0).")
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.SetDefault(0.0f);
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AddAttr<float>("max", "Maximun value of random. (float, default 1.0).")
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.SetDefault(1.0f);
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AddAttr<int>(
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"seed",
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"Random seed used for the random number engine. "
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"0 means use a seed generated by the system."
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"Note that if seed is not 0, this operator will "
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"generate the same random numbers every time. (int, default 0).")
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.SetDefault(0);
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(
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sampling_id, ops::SamplingIdOp, ops::SamplingIdOpMaker,
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paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
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paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
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REGISTER_OP_CPU_KERNEL(sampling_id, paddle::operators::SamplingIdKernel<float>,
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paddle::operators::SamplingIdKernel<double>);
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