wehub-resource-sync
87 lines
3.3 KiB
C++
87 lines
3.3 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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#include "paddle/phi/infermeta/spmd_rules/amp_ops.h"
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#include <vector>
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#include "glog/logging.h"
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#include "paddle/phi/core/distributed/auto_parallel/reshard/reshard_utils.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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// TODO(zhiqiu): support xs on different mesh.
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SpmdInfo CheckFiniteAndUnscaleSpmd(const std::vector<DistMetaTensor>& xs,
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const DistMetaTensor& scale) {
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std::vector<TensorDistAttr> xs_attrs;
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paddle::flat_hash_map<int64_t, ReduceType> partial_on_dims;
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auto scale_mesh = scale.dist_attr().process_mesh();
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auto offset = 0;
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for (auto& x : xs) {
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auto dist_attr = x.dist_attr();
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dist_attr.clean_partial_status();
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xs_attrs.emplace_back(dist_attr);
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auto dims_mapping = dist_attr.dims_mapping();
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auto mesh = dist_attr.process_mesh();
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if (scale_mesh.ndim() > 1 && IsSubMesh(scale_mesh, mesh)) {
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partial_on_dims[0] = ReduceType::kRedMax;
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offset = 1;
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}
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for (auto& m : dims_mapping) {
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if (m != -1 && partial_on_dims.count(m) == 0) {
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partial_on_dims[m + offset] = ReduceType::kRedMax;
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}
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}
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}
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TensorDistAttr found_infinite_attr =
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CopyTensorDistAttrForOutput(scale.dist_attr());
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found_infinite_attr.set_partial_status(partial_on_dims);
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found_infinite_attr.set_dims_mapping(std::vector<int64_t>{-1});
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return {{xs_attrs, scale.dist_attr()}, {xs_attrs, found_infinite_attr}};
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}
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SpmdInfo UpdateLossScalingSpmd(const std::vector<DistMetaTensor>& xs,
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const DistMetaTensor& found_infinite,
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const DistMetaTensor& prev_loss_scaling,
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const DistMetaTensor& in_good_steps,
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const DistMetaTensor& in_bad_steps,
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int incr_every_n_steps,
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int decr_every_n_nan_or_inf,
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float incr_ratio,
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float decr_ratio,
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Scalar stop_update) {
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std::vector<TensorDistAttr> xs_attrs;
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for (auto& x : xs) {
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auto dist_attr = x.dist_attr();
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dist_attr.clean_partial_status();
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xs_attrs.emplace_back(dist_attr);
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}
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TensorDistAttr found_infinite_attr =
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CopyTensorDistAttrForOutput(found_infinite.dist_attr());
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found_infinite_attr.set_dims_mapping(std::vector<int64_t>{-1});
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return {{xs_attrs,
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found_infinite_attr,
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prev_loss_scaling.dist_attr(),
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in_good_steps.dist_attr(),
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in_bad_steps.dist_attr()},
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{xs_attrs,
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found_infinite_attr,
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in_good_steps.dist_attr(),
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in_bad_steps.dist_attr()}};
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}
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} // namespace distributed
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} // namespace phi
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