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							67 lines
						
					
					
						
							2.3 KiB
						
					
					
				| /* Copyright (c) 2016 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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| 
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| #pragma once
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| #include <functional>
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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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| 
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| namespace paddle {
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| namespace operators {
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| 
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| template <typename T>
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| void GetSize(T start, T end, T step, int64_t* size) {
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|   PADDLE_ENFORCE_NE(step, 0, platform::errors::InvalidArgument(
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|                                  "The step of range op should not be 0."));
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| 
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|   if (start < end) {
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|     PADDLE_ENFORCE_GT(
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|         step, 0, platform::errors::InvalidArgument(
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|                      "The step should be greater than 0 while start < end."));
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|   }
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| 
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|   if (start > end) {
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|     PADDLE_ENFORCE_LT(step, 0,
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|                       platform::errors::InvalidArgument(
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|                           "step should be less than 0 while start > end."));
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|   }
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| 
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|   *size = std::is_integral<T>::value
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|               ? ((std::abs(end - start) + std::abs(step) - 1) / std::abs(step))
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|               : std::ceil(std::abs((end - start) / step));
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| }
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| 
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| template <typename T>
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| class CPURangeKernel : 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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|     T start = context.Input<framework::Tensor>("Start")->data<T>()[0];
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|     T end = context.Input<framework::Tensor>("End")->data<T>()[0];
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|     T step = context.Input<framework::Tensor>("Step")->data<T>()[0];
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|     auto* out = context.Output<framework::Tensor>("Out");
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|     int64_t size = 0;
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|     GetSize(start, end, step, &size);
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|     out->Resize(framework::make_ddim({size}));
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|     T* out_data = out->mutable_data<T>(context.GetPlace());
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|     T value = start;
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|     for (int64_t i = 0; i < size; ++i) {
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|       out_data[i] = value;
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|       value += step;
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|     }
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|   }
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| };
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| 
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| }  // namespace operators
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| }  // namespace paddle
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