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!4124 fix 4 issue 

Merge pull request !4124 from fangzehua/biasadd
This commit is contained in:
mindspore-ci-bot 2020-08-08 23:17:04 +08:00 committed by Gitee
parent beb8527da1 a5e88c23b0
commit 3b76823141
4 changed files with 8 additions and 8 deletions
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2
mindspore/ops/_op_impl/tbe/broadcast_to.py
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@ -30,7 +30,7 @@ broadcast_to_op_info = TBERegOp("BroadcastTo") \
.dtype_format(DataType.F32_Default, DataType.F32_Default) \
.dtype_format(DataType.I32_Default, DataType.I32_Default) \
.dtype_format(DataType.I8_Default, DataType.I8_Default) \
.dtype_format(DataType.U8_Default, DataType.U16_Default) \
.dtype_format(DataType.U8_Default, DataType.U8_Default) \
.get_op_info()

1
mindspore/ops/_op_impl/tbe/transpose_d.py
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@ -26,6 +26,7 @@ transpose_d_op_info = TBERegOp("Transpose") \
.attr("perm", "optional", "listInt", "all") \
.input(0, "x", False, "required", "all") \
.output(0, "y", False, "required", "all") \
.dtype_format(DataType.BOOL_Default, DataType.BOOL_Default) \
.dtype_format(DataType.I8_Default, DataType.I8_Default) \
.dtype_format(DataType.U8_Default, DataType.U8_Default) \
.dtype_format(DataType.I16_Default, DataType.I16_Default) \

5
mindspore/ops/operations/nn_ops.py
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@ -1407,7 +1407,7 @@ class BiasAdd(PrimitiveWithInfer):
except for the channel axis.
Inputs:
- **input_x** (Tensor) - Input value, with shape :math:`(N, C)` or :math:`(N, C, H, W)`.
- **input_x** (Tensor) - Input value. The input shape can be 2-4 dimensions.
- **bias** (Tensor) - Bias value, with shape :math:`(C)`.
Outputs:
@ -1433,8 +1433,7 @@ class BiasAdd(PrimitiveWithInfer):
def infer_dtype(self, x_type, b_type):
args = {"input_x": x_type, "bias": b_type}
valid_types = (mstype.int8, mstype.int32, mstype.float16, mstype.float32)
validator.check_tensor_type_same(args, valid_types, self.name)
validator.check_tensor_type_same(args, mstype.number_type, self.name)
return x_type

8
mindspore/ops/operations/other_ops.py
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@ -93,8 +93,8 @@ class BoundingBoxEncode(PrimitiveWithInfer):
@prim_attr_register
def __init__(self, means=(0.0, 0.0, 0.0, 0.0), stds=(1.0, 1.0, 1.0, 1.0)):
validator.check_value_type('means', means, [tuple, list], self.name)
validator.check_value_type('stds', stds, [tuple, list], self.name)
validator.check_value_type('means', means, (tuple), self.name)
validator.check_value_type('stds', stds, (tuple), self.name)
for i, value in enumerate(means):
validator.check_value_type("means[%d]" % i, value, [float], self.name)
for i, value in enumerate(stds):
@ -147,8 +147,8 @@ class BoundingBoxDecode(PrimitiveWithInfer):
@prim_attr_register
def __init__(self, max_shape, means=(0.0, 0.0, 0.0, 0.0), stds=(1.0, 1.0, 1.0, 1.0), wh_ratio_clip=0.016):
validator.check_value_type('means', means, [tuple, list], self.name)
validator.check_value_type('stds', stds, [tuple, list], self.name)
validator.check_value_type('means', means, (tuple), self.name)
validator.check_value_type('stds', stds, (tuple), self.name)
for i, value in enumerate(means):
validator.check_value_type("means[%d]" % i, value, [float], self.name)
for i, value in enumerate(stds):