wehub-resource-sync
129 lines
5.0 KiB
C++
129 lines
5.0 KiB
C++
/* Copyright (c) 2025 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/spmd_rules/roi_align.h"
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#include "glog/logging.h"
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#include "paddle/phi/infermeta/spmd_rules/spmd_rule_macro_define.h"
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#include "paddle/phi/infermeta/spmd_rules/utils.h"
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namespace phi {
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namespace distributed {
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SpmdInfo RoiAlignInferSpmd(const DistMetaTensor& x,
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const DistMetaTensor& boxes,
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const DistMetaTensor& boxes_num,
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int pooled_height,
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int pooled_width,
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float spatial_scale,
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int sampling_ratio,
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bool aligned) {
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EXTRACT_SHAPE_AND_DIST_ATTR(x);
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EXTRACT_SHAPE_AND_DIST_ATTR(boxes);
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std::vector<int64_t> x_dims_mapping_dst(x_ndim, -1);
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x_dims_mapping_dst[1] = x_dims_mapping_src[1];
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std::vector<int64_t> boxes_dims_mapping_dst(boxes_ndim, -1);
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std::vector<int64_t> boxes_num_dims_mapping_dst;
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TensorDistAttr boxes_num_dist_attr_dst;
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TensorDistAttr x_dist_attr_dst = CopyTensorDistAttrForOutput(x_dist_attr_src);
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TensorDistAttr boxes_dist_attr_dst =
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CopyTensorDistAttrForOutput(boxes_dist_attr_src);
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TensorDistAttr out_dist_attr_dst =
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CopyTensorDistAttrForOutput(x_dist_attr_dst);
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x_dist_attr_dst.set_dims_mapping(x_dims_mapping_dst);
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boxes_dist_attr_dst.set_dims_mapping(boxes_dims_mapping_dst);
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out_dist_attr_dst.set_dims_mapping(x_dims_mapping_dst);
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if (boxes_num.initialized()) {
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EXTRACT_SHAPE_AND_DIST_ATTR(boxes_num);
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boxes_num_dims_mapping_dst = {-1};
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boxes_num_dist_attr_dst =
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CopyTensorDistAttrForOutput(boxes_num_dist_attr_src);
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boxes_num_dist_attr_dst.set_dims_mapping(boxes_num_dims_mapping_dst);
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VLOG(4) << "RoiAlignInferSpmd: Done.";
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LOG_SPMD_INPUT(boxes_num);
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} else {
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boxes_num_dist_attr_dst = TensorDistAttr();
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VLOG(4) << "RoiAlignInferSpmd: Done.";
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}
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LOG_SPMD_INPUT(x);
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LOG_SPMD_INPUT(boxes);
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LOG_SPMD_OUTPUT(out_dist_attr_dst);
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return {{x_dist_attr_dst, boxes_dist_attr_dst, boxes_num_dist_attr_dst},
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{out_dist_attr_dst}};
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}
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SpmdInfo RoiAlignGradInferSpmd(const DistMetaTensor& x,
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const DistMetaTensor& boxes,
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const DistMetaTensor& boxes_num,
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const DistMetaTensor& out_grad,
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int pooled_height,
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int pooled_width,
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float spatial_scale,
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int sampling_ratio,
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bool aligned) {
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EXTRACT_SHAPE_AND_DIST_ATTR(x);
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EXTRACT_SHAPE_AND_DIST_ATTR(boxes);
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EXTRACT_SHAPE_AND_DIST_ATTR(out_grad);
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int64_t c_status = ShardingMergeForAxis(
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"c", x_dims_mapping_src[1], out_grad_dims_mapping_src[1]);
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std::vector<int64_t> x_dims_mapping_dst(x_ndim, -1);
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x_dims_mapping_dst[1] = c_status;
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std::vector<int64_t> boxes_dims_mapping_dst(boxes_ndim, -1);
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std::vector<int64_t> out_grad_dims_mapping_dst(out_grad_ndim, -1);
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out_grad_dims_mapping_dst[1] = c_status;
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TensorDistAttr x_dist_attr_dst = CopyTensorDistAttrForOutput(x_dist_attr_src);
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TensorDistAttr x_grad_attr_dst = x_dist_attr_dst;
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TensorDistAttr boxes_dist_attr_dst =
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CopyTensorDistAttrForOutput(boxes_dist_attr_src);
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TensorDistAttr out_grad_dist_attr_dst =
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CopyTensorDistAttrForOutput(out_grad_dist_attr_src);
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x_dist_attr_dst.set_dims_mapping(x_dims_mapping_dst);
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x_grad_attr_dst.set_dims_mapping(x_dims_mapping_dst);
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boxes_dist_attr_dst.set_dims_mapping(boxes_dims_mapping_dst);
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out_grad_dist_attr_dst.set_dims_mapping(out_grad_dims_mapping_dst);
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TensorDistAttr boxes_num_dist_attr_dst;
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std::vector<int64_t> boxes_num_dims_mapping_dst;
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if (boxes_num.initialized()) {
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EXTRACT_SHAPE_AND_DIST_ATTR(boxes_num);
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boxes_num_dims_mapping_dst = {-1};
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boxes_num_dist_attr_dst =
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CopyTensorDistAttrForOutput(boxes_num_dist_attr_src);
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boxes_num_dist_attr_dst.set_dims_mapping(boxes_num_dims_mapping_dst);
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VLOG(4) << "RoiAlignGradInferSpmd: Done.";
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LOG_SPMD_INPUT(boxes_num);
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} else {
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boxes_num_dist_attr_dst = TensorDistAttr();
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VLOG(4) << "RoiAlignGradInferSpmd: Done.";
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}
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LOG_SPMD_INPUT(x);
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LOG_SPMD_INPUT(boxes);
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LOG_SPMD_INPUT(out_grad);
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LOG_SPMD_OUTPUT(x_grad_attr_dst);
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return {{x_dist_attr_dst,
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boxes_dist_attr_dst,
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boxes_num_dist_attr_dst,
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out_grad_dist_attr_dst},
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{x_grad_attr_dst}};
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}
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} // namespace distributed
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} // namespace phi
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