wehub-resource-sync
42 lines
1.6 KiB
C++
42 lines
1.6 KiB
C++
// Copyright (c) 2024 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 <vector>
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#include "paddle/cinn/ir/tensor.h"
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namespace cinn::ir::utils {
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// FIXME(Aurelius84): Return [Expr(1)] for 0D Tensor as the shape.
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static inline std::vector<Expr> GetCompatibleShape(
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const std::vector<Expr>& shape) {
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return shape.empty() ? std::vector<Expr>({Expr(1)}) : shape;
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}
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// FIXME(Aurelius84): Actually we can't distinguish 0D Tensor from 1D Tensor
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// with shape [1]. So name it with Maybe prefix.
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static inline bool MaybeZeroRankTensor(const Tensor& tensor) {
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return tensor.ndims() == 1 && tensor->shape[0].is_constant() &&
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static_cast<int>(tensor->shape[0].get_constant()) == 1;
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}
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// FIXME(Aurelius84): Return [Expr(0)] for 0D Tensor as the indices.
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static inline std::vector<Expr> GetCompatibleStoreLoadIndices(
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const Tensor& tensor, const std::vector<Expr>& indices) {
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const bool should_fill_zero = indices.empty() && MaybeZeroRankTensor(tensor);
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return should_fill_zero ? std::vector<Expr>({Expr(0)}) : indices;
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}
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} // namespace cinn::ir::utils
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