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104 lines
4.2 KiB
104 lines
4.2 KiB
/* Copyright (c) 2019 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/linspace_op.h"
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#include <string>
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#include "paddle/fluid/framework/op_version_registry.h"
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namespace paddle {
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namespace operators {
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class LinspaceOp : 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("Start"), "Input", "Start", "linspace");
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OP_INOUT_CHECK(ctx->HasInput("Stop"), "Input", "Stop", "linspace");
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OP_INOUT_CHECK(ctx->HasInput("Num"), "Input", "Num", "linspace");
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OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "linspace");
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auto s_dims = ctx->GetInputDim("Start");
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PADDLE_ENFORCE_EQ((s_dims.size() == 1) && (s_dims[0] == 1), true,
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platform::errors::InvalidArgument(
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"The shape of Input(Start) must be [1],"
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"but received input shape is [%s].",
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s_dims));
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auto e_dims = ctx->GetInputDim("Stop");
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PADDLE_ENFORCE_EQ((e_dims.size() == 1) && (e_dims[0] == 1), true,
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platform::errors::InvalidArgument(
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"The shape of Input(Stop) must be [1],"
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"but received input shape is [%s].",
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e_dims));
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auto step_dims = ctx->GetInputDim("Num");
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PADDLE_ENFORCE_EQ(
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(step_dims.size() == 1) && (step_dims[0] == 1), true,
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platform::errors::InvalidArgument("The shape of Input(Num) must be [1],"
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"but received input shape is [%s].",
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step_dims));
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ctx->SetOutputDim("Out", {-1});
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}
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext &ctx) const override {
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return framework::OpKernelType(
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framework::proto::VarType::Type(ctx.Attr<int>("dtype")),
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ctx.GetPlace());
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}
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framework::OpKernelType GetKernelTypeForVar(
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const std::string &var_name, const framework::Tensor &tensor,
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const framework::OpKernelType &expected_kernel_type) const override {
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return expected_kernel_type;
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}
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};
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class LinspaceOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("Start",
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"First entry in the sequence. It is a tensor of shape [1], should "
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"be of type float32 or float64.");
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AddInput("Stop",
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"Last entry in the sequence. It is a tensor of shape [1], should "
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"be of type float32 or float64.");
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AddInput("Num",
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"Number of entry in the sequence. It is a tensor of shape [1], "
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"should be of type int32.");
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AddAttr<int>("dtype", "The output data type.");
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AddOutput("Out", "A sequence of numbers.");
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AddComment(R"DOC(
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Return fixed number of evenly spaced values within a given interval. First entry is start, and last entry is stop. In the case when Num is 1, only Start is returned. Like linspace function of numpy.
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)DOC");
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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_OP_WITHOUT_GRADIENT(linspace, ops::LinspaceOp, ops::LinspaceOpMaker);
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REGISTER_OP_CPU_KERNEL(linspace, ops::CPULinspaceKernel<float>,
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ops::CPULinspaceKernel<int32_t>,
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ops::CPULinspaceKernel<int64_t>,
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ops::CPULinspaceKernel<double>);
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REGISTER_OP_VERSION(linspace)
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.AddCheckpoint(
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R"ROC(
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Upgrade linspace to add a new attribute [dtype].
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)ROC",
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paddle::framework::compatible::OpVersionDesc().NewAttr(
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"dtype", "In order to change output data type ", 5));
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