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Fix bug poolop #54766

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merged 1 commit into from
Jun 27, 2023
Merged

Fix bug poolop #54766

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4 changes: 2 additions & 2 deletions paddle/phi/api/yaml/op_compat.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -1948,7 +1948,7 @@
pool2d_double_grad : GetPoolDoubleGradExpectedKernelType
extra :
attrs : [bool use_mkldnn = false, bool use_quantizer = false,
str mkldnn_data_type = "float32", bool is_test = false, bool use_cudnn = false]
str mkldnn_data_type = "float32", bool is_test = false]

- op : pool3d
backward : pool3d_grad
Expand All @@ -1962,7 +1962,7 @@
pool3d : GetPoolExpectedKernelType
pool3d_grad : GetPoolExpectedKernelType
extra :
attrs : [bool use_mkldnn = false, bool use_cudnn = false]
attrs : [bool use_mkldnn = false]

- op : pow
backward : pow_grad, pow_double_grad, pow_triple_grad
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4 changes: 2 additions & 2 deletions paddle/phi/api/yaml/static_ops.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -382,7 +382,7 @@
param : [peer, dtype, out_shape]

- op : pool2d
args : (Tensor x, IntArray kernel_size, int[] strides = {1,1}, int[] paddings = {0,0}, bool ceil_mode = false, bool exclusive = true, str data_format = "NCHW", str pooling_type = "", bool global_pooling = false, bool adaptive = false, str padding_algorithm = "EXPLICIT")
args : (Tensor x, IntArray kernel_size, int[] strides = {1,1}, int[] paddings = {0,0}, bool ceil_mode = false, bool exclusive = true, str data_format = "NCHW", str pooling_type = "", bool global_pooling = false, bool adaptive = false, str padding_algorithm = "EXPLICIT", bool use_cudnn = false)
output : Tensor(out)
infer_meta :
func : Pool2DInferMeta
Expand All @@ -393,7 +393,7 @@
backward : pool2d_grad

- op : pool3d
args : (Tensor x, int[] kernel_size, int[] strides = {1,1,1}, int[] paddings = {0,0,0}, bool ceil_mode = false, bool exclusive = true, str data_format = "NCDHW", str pooling_type = "", bool global_pooling = false, bool adaptive = false, str padding_algorithm = "EXPLICIT")
args : (Tensor x, int[] kernel_size, int[] strides = {1,1,1}, int[] paddings = {0,0,0}, bool ceil_mode = false, bool exclusive = true, str data_format = "NCDHW", str pooling_type = "", bool global_pooling = false, bool adaptive = false, str padding_algorithm = "EXPLICIT", bool use_cudnn = false)
output : Tensor(out)
infer_meta :
func : PoolInferMeta
Expand Down