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【PaddlePaddle Hackathon 2】24、为 Paddle 新增 nn.ChannelShuffle 组网 API #40743
【PaddlePaddle Hackathon 2】24、为 Paddle 新增 nn.ChannelShuffle 组网 API #40743
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你的PR提交成功,感谢你对开源项目的贡献! |
PR格式检查通过,你的PR将接受Paddle专家以及开源社区的review,请及时关注PR动态。 |
PR格式检查通过,你的PR将接受Paddle专家以及开源社区的review,请及时关注PR动态。 |
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API的撰写已经很完善,部分细节需要修改
PADDLE_ENFORCE_GE(groups, 1, platform::errors::InvalidArgument( | ||
"groups should be larger than 0.")); |
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在infermeta中判断
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完成
void InferShape(framework::InferShapeContext* ctx) const override { | ||
PADDLE_ENFORCE_EQ( | ||
ctx->HasInput(framework::GradVarName("Out")), true, | ||
platform::errors::NotFound("Input(Out@Grad) should not be null")); | ||
PADDLE_ENFORCE_EQ( | ||
ctx->HasOutput(framework::GradVarName("X")), true, | ||
platform::errors::NotFound("Output(X@Grad) should not be null")); | ||
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auto do_dims = ctx->GetInputDim(framework::GradVarName("Out")); | ||
PADDLE_ENFORCE_EQ(do_dims.size(), 4, | ||
platform::errors::InvalidArgument( | ||
"Input should be a 4-D tensor of format [N, C, " | ||
"H, W] or [N, H, W, C], but got %u.", | ||
do_dims.size())); | ||
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auto dx_dims = do_dims; | ||
ctx->SetOutputDim(framework::GradVarName("X"), dx_dims); | ||
} |
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放入infermeta
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我看其他算子也都是只把前向的形状推断放在infermeta中,而反向的形状推断放在xxx_op.cc中。
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好的
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可以放到infermeta里,参考下这个PR的review
#40728
See the License for the specific language governing permissions and | ||
limitations under the License. */ | ||
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#include <memory> |
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没有看到对这个库函数的使用
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已删去
"The number of groups to divide channels in[%u] " | ||
"should divide the number of channel[%u]", | ||
groups, | ||
input_dims[3])); |
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报错信息可以增加空格方便报错阅读
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是指把in[%u]
和channel[%u]
改成in [%u]
和channel [%u]
吗?
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嗯嗯
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完成。
int groups, | ||
const std::string& data_format, | ||
MetaTensor* out) { | ||
auto input_dims = x.dims(); |
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增加对groups,dataformat的检查
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完成
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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from __future__ import print_function |
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可删除
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完成
import paddle.fluid.core as core | ||
import paddle.fluid as fluid | ||
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paddle.enable_static() |
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不需要一开始指定
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完成
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self.assertRaises(ValueError, error_data_format) | ||
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def test_error_layer(self): |
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增加group 不是正数、tensor不是4d的报错信息
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完成
请先通过CI噢~ |
@@ -69,10 +65,14 @@ def init_data_format(self): | |||
self.format = "NCHW" | |||
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def test_check_output(self): | |||
paddle.enable_static() |
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不需要单独在这里增加静态图的约束
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已删去,原先这么写是因为不设置为静态图就会报错。后来发现tools/static_mode_white_list.py
中也有test_pixel_shuffle
。经验证,在tools/static_mode_white_list.py
删去test_pixel_shuffle
后pixel_shuffle
的单测也会报错。于是我在tools/static_mode_white_list.py
中也增加了test_channel_shuffle
。
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def test_check_grad(self): | ||
paddle.enable_static() |
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不需要单独在这里增加静态图的约束
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回复同上。
根据最新说明,_non_static_mode的调用路径需要更改为paddle.framework._non_static_mode,不再和fluid耦合。 |
11b3b03
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LG API
""" | ||
This API implements channel shuffle operation. | ||
See more details in :ref:`api_nn_vision_ChannelShuffle` . | ||
Parameters: |
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- 需要在每个关键字段前后增加空行,以保证官网正确解析文档~参考文档
- 中英文文档应保持一致
name (str, optional): The default value is None. Normally there is no need for user to set this property. | ||
Returns: | ||
Out(tensor): Rearranged tensor keeping the original tensor shape. | ||
Raises: |
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不需要增加raises,这个可以删除~
python/paddle/nn/layer/vision.py
Outdated
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Shape: | ||
- x: 4-D tensor with shape: (N, C, H, W) or (N, H, W, C). | ||
- out: 4-D tensor with shape same as x. |
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PixelShuffle
有shape这个关键字段。
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源码里用的是:
,好像是生成文档时自动变成-
的。
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LGTM for docs
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类似问题可参照修改:#40728 (review)
@@ -0,0 +1,74 @@ | |||
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. |
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参考:#40728 (comment) 进行同理修改。
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完成
@@ -0,0 +1,73 @@ | |||
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. |
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参考:#40728 (comment) 进行同理修改。
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完成
e29fb30
完成 |
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. */ | ||
// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. |
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LGTM
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LGTM
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LGTM for docs
* bind elementwise_mod_op_xpu *test=kunlun * add more supported dtypes and UTs *test=kunlun * fix datatype error * add op to in xpu1_op_list * Update Mac cmake version >=3.15 (#41456) * Update Mac cmake version >=3.15 * notest;read test1 notest;read test2 notest;read test3 * fix inference link error * fix inference link error * fix windows link error * fix cmake_policy * fix build big size * Add paddle::variant and replace paddle::any (#42139) * add variant and replace any * split attribute * disable unittest failed in eager CI in temporary (#42101) * test=py3-eager * test=py3-eager * test=py3-eager * combine graph_table and feature_table in graph_engine (#42134) * extract sub-graph * graph-engine merging * fix * fix * fix heter-ps config * test performance * test performance * test performance * test * test * update bfs * change cmake * test * test gpu speed * gpu_graph_engine optimization * add dsm sample method * add graph_neighbor_sample_v2 * Add graph_neighbor_sample_v2 * fix for loop * add cpu sample interface * fix kernel judgement * add ssd layer to graph_engine * fix allocation * fix syntax error * fix syntax error * fix pscore class * fix * change index settings * recover test * recover test * fix spelling * recover * fix * move cudamemcpy after cuda stream sync * fix linking problem * remove comment * add cpu test * test * add cpu test * change comment * combine feature table and graph table * test * test * pybind * test * test * test * test * pybind * pybind * fix cmake * pybind * fix * fix * add pybind * add pybind Co-authored-by: DesmonDay <[email protected]> * [CustomDevice] add eager mode support (#42034) * fix FlattenContiguousRangeOpConverter out dim error (#42087) * fix FlattenContiguousRangeOpConverter out dim error * update code * fix python3.10 compile bug on windows (#42140) * Optimize dygraph GetExpectedKernelType perf (#42154) * opt dygraph scheduling * revert part impl * fix incorrect usages of std::move and other compile errors (#41045) * fix bug of std::move and others * fix an compile error in debug mode * fix wrong copy assignment operator Signed-off-by: tiancaishaonvjituizi <[email protected]> * reformat Signed-off-by: tiancaishaonvjituizi <[email protected]> * reformat Signed-off-by: tiancaishaonvjituizi <[email protected]> * fix ArrayRef constructor following llvm * fix format * fix conflict with master * fix variant compile error (#42203) * [Eager] Support numpy.ndarry in CastNumpy2Scalar (#42136) * [Eager] Remove redundancy code, fix fp16 case (#42169) * [Eager] Support div(scalar) in eager mode (#42148) * [Eager] Support div scalar in eager mode * Updated and remove debug logs * Remove list, use 'or' directly * Remove useless statement * fix recompute (#42128) * fix recompute * modify return * add LICENSE in wheel dist-info package (#42187) * replace any by variant in infermeta (#42181) * 【PaddlePaddle Hackathon 2】24、为 Paddle 新增 nn.ChannelShuffle 组网 API (#40743) * Add infermeta for ChannelShuffle * Create channel_shuffle_grad_kernel.h * Create channel_shuffle_kernel.h * Create channel_shuffle_sig.cc * Create channel_shuffle_op.cc ChannelShuffle算子的描述 * Create channel_shuffle_kernel_impl.h ChannelShuffle核函数的实现 * Create channel_shuffle_grad_kernel_impl.h ChannelShuffle反向核函数的实现 * Add kernel register of channel shuffle and grad 注册ChannelShuffle及其反向的核函数 * add nn.functional.channel_shuffle * add nn.ChannelShuffle * Create test_channel_shuffle.py * Update example of ChannelShuffle in vision.py * Update test_channel_shuffle.py * 修改channel_shuffle核函数的实现位置 * 修正代码格式 * 删除多余空格 * 完善channel_shuffle的错误检查 * Update unary.cc * Update channel_shuffle_op.cc * Update test_channel_shuffle.py * Update unary.cc * add channel_shuffle * Update test_channel_shuffle.py * Update vision.py * 调整代码格式 * Update channel_shuffle_sig.cc * 更新ChannelShuffle的文档 * 更新channel_shuffle的文档 * remove ChannelShuffleOpArgumentMapping * add ChannelShuffleGradInferMeta * Update channel_shuffle_op.cc * 调整channel_shuffle及其梯度的核函数的位置 * Do not reset default stream for StreamSafeCUDAAllocator (#42149) * remove redundant computation in Categorical.probs (#42114) * Downloading data for test_analyzer_vit_ocr (#42041) * Change server URL * update config * add test to parallel UT rule * add checksum to ensure files are downloaded * change downloading target * reuse existing variable * change target directory * fix en docs of some Apis (gradients, scope_guard, cuda_places, name_scope, device_guard, load_program_state, scale, ParamAttr and WeightNormParamAttr) (#41604) * Update scope_guard; test=document_fix * gradients; test=document_fix * gradients; test=document_fix * name_scope; test=document_fix * cpu_places; test=document_fix * WeightNormParamAttr; test=document_fix * cuda_places; test=document_fix * load_program_state; test=document_fix * device_guard; test=document_fix * device_guard; test=document_fix * ParamAttr; test=document_fix * scale; test=document_fix * scale; test=document_fix * update code example;test=document_fix Co-authored-by: Chen Long <[email protected]> * fix datatype error add op to in xpu1_op_list *test=kunlun * fix elementwise_mod op path error *test=kunlun * fix elementwise_mod UT error *test=kunlun * fix datatype error add op to in xpu1_op_list *test=kunlun add op to in xpu1_op_list fix elementwise_mod op path error *test=kunlun fix elementwise_mod UT error *test=kunlun Co-authored-by: tianshuo78520a <[email protected]> Co-authored-by: Chen Weihang <[email protected]> Co-authored-by: pangyoki <[email protected]> Co-authored-by: seemingwang <[email protected]> Co-authored-by: DesmonDay <[email protected]> Co-authored-by: ronnywang <[email protected]> Co-authored-by: baoachun <[email protected]> Co-authored-by: Zhou Wei <[email protected]> Co-authored-by: tiancaishaonvjituizi <[email protected]> Co-authored-by: Weilong Wu <[email protected]> Co-authored-by: Roc <[email protected]> Co-authored-by: BrilliantYuKaimin <[email protected]> Co-authored-by: Ruibiao Chen <[email protected]> Co-authored-by: Feiyu Chan <[email protected]> Co-authored-by: Sławomir Siwek <[email protected]> Co-authored-by: Yilingyelu <[email protected]> Co-authored-by: Chen Long <[email protected]>
PR types
New features
PR changes
APIs
Describe
解决了Issue: #40309 。
增加了nn.ChannelShuffle和nn.functional.channel_shuffle,其行为是把其行为是将形为[N,C,H,W]重塑成[N,g,C/g,H,W]的形状,再转置成[N,C/g,g,H,W]的形状,最后重塑回[N,C,H,W]的形状。
设计文档: PaddlePaddle/community#40
中文文档: PaddlePaddle/docs#4501