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code clean

This commit is contained in:
jiangzhenguang 2023-03-23 11:17:39 +08:00
parent c047a9257a
commit 676edf7950
2 changed files with 6 additions and 0 deletions
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1
.jenkins/check/config/filter_pylint.txt
View File

@ -22,6 +22,7 @@
"mindspore/mindspore/python/mindspore/ops/operations" "super-init-not-called"
"mindspore/mindspore/python/mindspore/ops/operations/_quant_ops.py" "unused-import"
"mindspore/mindspore/python/mindspore/ops/operations/nn_ops.py" "redefined-builtin"
"mindspore/mindspore/python/mindspore/ops/operations/nn_ops.py" "pointless-string-statement"
"mindspore/mindspore/python/mindspore/ops/operations/array_ops.py" "missing-docstring"
"mindspore/mindspore/python/mindspore/ops/operations/_inner_ops.py" "dangerous-default-value"
"mindspore/mindspore/python/mindspore/ops/operations/_thor_ops.py" "dangerous-default-value"

5
mindspore/python/mindspore/ops/operations/nn_ops.py
View File

@ -1910,6 +1910,7 @@ class MaxPool3D(Primitive):
@prim_attr_register
def __init__(self, kernel_size=1, strides=1, pad_mode="VALID", pad_list=0, ceil_mode=None, data_format="NCDHW"):
super(MaxPool3D, self).__init__("MaxPool3D")
"""Initialize MaxPool3D."""
self.init_prim_io_names(inputs=['x'], outputs=['output'])
validator.check_value_type('kernel_size', kernel_size, [int, tuple], self.name)
@ -2654,6 +2655,7 @@ class NLLLoss(Primitive):
@prim_attr_register
def __init__(self, reduction="mean"):
super(NLLLoss, self).__init__("NLLLoss")
"""Initialize NLLLoss"""
self.init_prim_io_names(inputs=['x', 'target', "weight"], outputs=['loss', 'total_weight'])
self.reduction = validator.check_string(reduction, ['none', 'sum', 'mean'], 'reduction', self.name)
@ -3605,6 +3607,7 @@ class ResizeBilinear(PrimitiveWithInfer):
@prim_attr_register
def __init__(self, size, align_corners=False, half_pixel_centers=False):
super(ResizeBilinear, self).__init__("ResizeBilinear")
"""Initialize ResizeBilinear."""
validator.check_value_type("size", size, [tuple, list], self.name)
validator.check_equal_int(len(size), 2, "size len", self.name)
@ -7774,6 +7777,7 @@ class Conv3D(Primitive):
dilation=1,
group=1,
data_format="NCDHW"):
super(Conv3D, self).__init__("Conv3D")
"""Initialize Conv3D"""
self.init_prim_io_names(inputs=['x', 'w'], outputs=['output'])
self.kernel_size = _check_3d_int_or_tuple('kernel_size', kernel_size, self.name)
@ -7886,6 +7890,7 @@ class Conv3DBackpropInput(Primitive):
dilation=1,
group=1,
data_format="NCDHW"):
super(Conv3DBackpropInput, self).__init__("Conv3DBackpropInput")
"""Initialize Conv3DBackpropInput"""
self.init_prim_io_names(inputs=['filter', 'out_backprop', 'input_size'], outputs=['y'])
self.out_channel = validator.check_positive_int(out_channel, 'out_channel', self.name)