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support auto generate for prelu #51913

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merged 5 commits into from
Mar 30, 2023
Merged

support auto generate for prelu #51913

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5913d40
support auto generate for prelu
Ainavo Mar 21, 2023
4777451
op_compat 中增加输入参数
Ainavo Mar 21, 2023
9ac3c18
del attrs ; add kernel data_type
Ainavo Mar 22, 2023
e47c978
Merge branch 'develop' into support_auto_generate_for_prelu
Ainavo Mar 28, 2023
32e243f
add PreluGradInferMeta
Ainavo Mar 29, 2023
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135 changes: 0 additions & 135 deletions paddle/fluid/operators/prelu_op.cc
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11 changes: 11 additions & 0 deletions paddle/phi/api/yaml/backward.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -1117,6 +1117,17 @@
func : pow_triple_grad
data_type : x

- backward_op : prelu_grad
forward : prelu(Tensor x, Tensor alpha, str data_format="NCHW", str mode="all") -> Tensor(out)
args : (Tensor x, Tensor alpha, Tensor out_grad, str data_format, str mode)
output : Tensor(x_grad), Tensor(alpha_grad)
infer_meta :
func : PreluGradInferMeta
param: [x, alpha]
kernel :
func : prelu_grad
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data_type : x

- backward_op : put_along_axis_grad
forward : put_along_axis (Tensor arr, Tensor indices, Tensor value, int axis, str reduce = "assign") -> Tensor(out)
args : (Tensor arr, Tensor indices, Tensor out_grad, int axis, str reduce)
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10 changes: 0 additions & 10 deletions paddle/phi/api/yaml/legacy_backward.yaml
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Expand Up @@ -918,16 +918,6 @@
func : pool3d_grad
param : [x, out, out_grad, kernel_size, strides, paddings, ceil_mode, exclusive, data_format, pooling_type, global_pooling, adaptive, padding_algorithm]

- backward_op : prelu_grad
forward : prelu(Tensor x, Tensor alpha, str data_format, str mode) -> Tensor(out)
args : (Tensor x, Tensor alpha, Tensor out_grad, str data_format, str mode)
output : Tensor(x_grad), Tensor(alpha_grad)
infer_meta :
func : GeneralBinaryGradInferMeta
param: [x, alpha]
kernel :
func : prelu_grad

- backward_op : prod_grad
forward : prod (Tensor x, IntArray dims, bool keep_dim, bool reduce_all) -> Tensor(out)
args : (Tensor x, Tensor out, Tensor out_grad, IntArray dims, bool keep_dim, bool reduce_all)
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9 changes: 0 additions & 9 deletions paddle/phi/api/yaml/legacy_ops.yaml
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Expand Up @@ -1243,15 +1243,6 @@
param : [x, kernel_size, strides, paddings, ceil_mode, exclusive, data_format, pooling_type, global_pooling, adaptive, padding_algorithm]
backward : pool3d_grad

- op : prelu
args : (Tensor x, Tensor alpha, str data_format, str mode)
output : Tensor(out)
infer_meta :
func : PReluInferMeta
kernel :
func : prelu
backward : prelu_grad

- op : prior_box
args : (Tensor input, Tensor image, float[] min_sizes, float[] aspect_ratios, float[] variances, float[] max_sizes = {}, bool flip=true, bool clip=true, float step_w=0.0, float step_h=0.0, float offset=0.5, bool min_max_aspect_ratios_order=false)
output : Tensor(out), Tensor(var)
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4 changes: 4 additions & 0 deletions paddle/phi/api/yaml/op_compat.yaml
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Expand Up @@ -1385,6 +1385,10 @@

- op : prelu
backward : prelu_grad
inputs :
{ x : X, alpha : Alpha}
outputs :
out : Out
extra :
attrs : [bool use_mkldnn = false, str mkldnn_data_type = "float32", bool is_test = false]

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10 changes: 10 additions & 0 deletions paddle/phi/api/yaml/ops.yaml
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Expand Up @@ -1129,6 +1129,16 @@
data_type : x
backward : pow_grad

- op : prelu
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查看ci-coverage, 这个错误可能是由test_dropout_nd_op.py引入的，目前已经屏蔽了这个单测，可以再rerun一下相关CI

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@Ainavo Ainavo Mar 28, 2023 •
edited
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查看ci-coverage, 这个错误可能是由test_dropout_nd_op.py引入的，目前已经屏蔽了这个单测，可以再rerun一下相关CI

您好，之前 ci-coverage 的报错
我直接重新 re-run 也 ci-coverage 会有同样报错，然后在本地 develop 分支使用 git pull 拉取了最新的代码，并在本地该分支使用 git merge develop 命令，自动触发 ci， 得到同样报错

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查看ci-coverage, 这个错误可能是由test_dropout_nd_op.py引入的，目前已经屏蔽了这个单测，可以再rerun一下相关CI

您好，之前 ci-coverage 的报错 我直接重新 re-run 也 ci-coverage 会有同样报错，然后在本地 develop 分支使用 git pull 拉取了最新的代码，并在本地该分支使用 git merge develop 命令，自动触发 ci， 得到同样报错

随后我会在本地调试协助解决bug，你可以继续认领其他任务

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Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

查看ci-coverage, 这个错误可能是由test_dropout_nd_op.py引入的，目前已经屏蔽了这个单测，可以再rerun一下相关CI

您好，之前 ci-coverage 的报错 我直接重新 re-run 也 ci-coverage 会有同样报错，然后在本地 develop 分支使用 git pull 拉取了最新的代码，并在本地该分支使用 git merge develop 命令，自动触发 ci， 得到同样报错

随后我会在本地调试协助解决bug，你可以继续认领其他任务

好的

args : (Tensor x, Tensor alpha, str data_format="NCHW", str mode="all")
output : Tensor(out)
infer_meta :
func : PReluInferMeta
kernel :
func : prelu
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data_type : x
backward : prelu_grad

- op : put_along_axis
args : (Tensor arr, Tensor indices, Tensor values, int axis, str reduce = "assign")
output : Tensor(out)
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12 changes: 12 additions & 0 deletions paddle/phi/infermeta/backward.cc
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Expand Up @@ -885,6 +885,18 @@ void PixelUnshuffleGradInferMeta(const MetaTensor& out_grad,
x_grad->set_dtype(out_grad.dtype());
}

void PreluGradInferMeta(const MetaTensor& x,
const MetaTensor& y,
MetaTensor* dx,
MetaTensor* dy) {
if (dx) {
dx->share_dims(x);
}
if (dy) {
dy->share_dims(y);
}
}

void PsroiPoolGradInferMeta(const MetaTensor& x,
const MetaTensor& rois,
const MetaTensor& rois_num,
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5 changes: 5 additions & 0 deletions paddle/phi/infermeta/backward.h
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Expand Up @@ -344,6 +344,11 @@ void PixelUnshuffleGradInferMeta(const MetaTensor& out_grad,
const std::string& data_format,
MetaTensor* x_grad);

void PreluGradInferMeta(const MetaTensor& x,
const MetaTensor& y,
MetaTensor* dx,
MetaTensor* dy);

void OverlapAddGradInferMeta(const MetaTensor& x,
const MetaTensor& out_grad,
int hop_length,
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34 changes: 0 additions & 34 deletions paddle/phi/ops/compat/prelu_sig.cc
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