wehub-resource-sync
54 lines
1.8 KiB
C++
54 lines
1.8 KiB
C++
/* Copyright (c) 2022 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/phi/infermeta/sparse/unary.h"
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#include "paddle/phi/core/infermeta_utils.h"
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namespace phi::sparse {
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void IndicesInferMeta(const MetaTensor& x, MetaTensor* out) {
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// TODO(zhangkaihuo) Currently, we cannot get sparse_dim from tensor.
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// correct shape is: shape[0] = x.sparse_dim()
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// In the 3D point cloud model:
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// the input x is 5-D tensor, non_zero_elements is 1-D tensor
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out->set_dims({x.dims().size() - 1, -1});
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out->set_dtype(DataType::INT32);
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out->set_layout(DataLayout::NCHW);
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}
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void ValuesInferMeta(const MetaTensor& x, MetaTensor* out) {
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const auto& x_dims = x.dims();
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out->set_dims({-1, x_dims[x_dims.size() - 1]});
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out->set_dtype(x.dtype());
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out->set_layout(x.layout());
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}
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void CastInferMeta(const MetaTensor& x,
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DataType index_dtype,
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DataType out_dtype,
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MetaTensor* out) {
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out->set_dims(x.dims());
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out->set_layout(x.layout());
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out->share_lod(x);
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// In inplace case, setting the dtype of out will reset the dtype of x at the
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// same time, which will cause bugs, so move the dtype setting of out to the
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// kernel
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if (!(out->is_same_tensor(x))) {
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out->set_dtype(out_dtype);
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}
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}
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} // namespace phi::sparse
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