wehub-resource-sync
65 lines
2.2 KiB
C++
65 lines
2.2 KiB
C++
// Copyright (c) 2022 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/common/ddim.h"
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#include "paddle/phi/core/dense_tensor.h"
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namespace phi {
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static void GetCumprodDimInfo(const DDim& dim,
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int cumprod_dim,
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size_t* outer_dim,
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size_t* mid_dim,
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size_t* inner_dim) {
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PADDLE_ENFORCE_GE(
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cumprod_dim,
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-dim.size(),
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common::errors::InvalidArgument(
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"The input dim of CumprodOp should be larger than the opposite "
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"rank of input x which is %d.But received dim=%d",
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-dim.size(),
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cumprod_dim));
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if (dim.size() == 0) {
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PADDLE_ENFORCE_LE(
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cumprod_dim,
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dim.size(),
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common::errors::InvalidArgument(
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"The input dim of CumprodOp should be smaller than the "
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"rank of input x which is %d.But received dim=%d",
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dim.size(),
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cumprod_dim));
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return;
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}
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PADDLE_ENFORCE_LT(cumprod_dim,
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dim.size(),
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common::errors::InvalidArgument(
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"The input dim of CumprodOp should be smaller than the "
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"rank of input x which is %d.But received dim=%d",
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dim.size(),
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cumprod_dim));
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if (cumprod_dim < 0) cumprod_dim += dim.size();
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*outer_dim = 1;
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for (int i = 0; i < cumprod_dim; ++i) {
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*outer_dim *= dim[i];
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}
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*mid_dim = dim[cumprod_dim];
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*inner_dim = 1;
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for (int i = cumprod_dim + 1; i < dim.size(); ++i) {
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*inner_dim *= dim[i];
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}
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}
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} // namespace phi
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