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105 lines
3.5 KiB
105 lines
3.5 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/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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template <typename DeviceContext, typename InT>
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struct OneHotOpFunctor {
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const framework::LoDTensor* in_;
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framework::LoDTensor* out_;
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int depth_;
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const DeviceContext& ctx_;
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bool allow_out_of_range_;
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OneHotOpFunctor(const framework::LoDTensor* in, framework::LoDTensor* out,
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int depth, const DeviceContext& ctx,
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bool allow_out_of_range = false)
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: in_(in),
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out_(out),
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depth_(depth),
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ctx_(ctx),
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allow_out_of_range_(allow_out_of_range) {}
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template <typename OutT>
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void apply() const {
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auto* p_in_data = in_->data<InT>();
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auto numel = in_->numel();
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auto* p_out_data = out_->mutable_data<OutT>(ctx_.GetPlace());
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math::set_constant(ctx_, out_, 0.0);
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if (allow_out_of_range_) {
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for (int i = 0; i < numel; ++i) {
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if (p_in_data[i] >= 0 && p_in_data[i] < depth_) {
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*(p_out_data + i * depth_ + p_in_data[i]) = 1.0;
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}
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}
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} else {
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for (int i = 0; i < numel; ++i) {
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PADDLE_ENFORCE_GE(
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p_in_data[i], 0,
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platform::errors::InvalidArgument(
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"Illegal index value, Input(input) value should be at least 0, "
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"but received input (%d) less than 0",
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p_in_data[i]));
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PADDLE_ENFORCE_LT(
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p_in_data[i], depth_,
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platform::errors::InvalidArgument(
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"Illegal index value, Input(input) value should be less than "
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"Input(depth), "
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"but received input (%d) not less than depth (%d)",
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p_in_data[i], depth_));
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*(p_out_data + i * depth_ + p_in_data[i]) = 1.0;
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}
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}
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}
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};
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using LoDTensor = framework::LoDTensor;
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using Tensor = framework::Tensor;
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template <typename DeviceContext, typename T>
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class OneHotKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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auto* in = context.Input<LoDTensor>("X");
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auto* out = context.Output<LoDTensor>("Out");
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int depth = context.Attr<int>("depth");
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bool allow_out_of_range = context.Attr<bool>("allow_out_of_range");
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if (context.HasInput("depth_tensor")) {
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auto* depth_tensor = context.Input<Tensor>("depth_tensor");
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auto* depth_data = depth_tensor->data<int32_t>();
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depth = depth_data[0];
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auto in_dims = in->dims();
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framework::DDim out_dims(in_dims);
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out_dims[out_dims.size() - 1] = depth;
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out->Resize(out_dims);
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}
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framework::VisitDataType(
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static_cast<framework::proto::VarType::Type>(
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context.Attr<int>("dtype")),
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OneHotOpFunctor<DeviceContext, T>(
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in, out, depth, context.template device_context<DeviceContext>(),
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allow_out_of_range));
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}
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};
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} // namespace operators
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} // namespace paddle
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