forked from huawei/mindspore2022
!18498 Fix numpy interfaces including array_str, sum, copysign
Merge pull request !18498 from wangrao124/fix_numpy
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@ -834,6 +834,8 @@ class Validator:
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raise ValueError(f'axis {ax} is out of bounds for array of dimension {ndim}')
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ax = ax if ax >= 0 else ax + ndim
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new_axes += (ax,)
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if any(new_axes.count(el) > 1 for el in new_axes):
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raise ValueError('duplicate value in "axis"')
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return new_axes
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@staticmethod
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@ -2239,6 +2239,7 @@ def array_str(a):
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Note:
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Numpy argument `max_line_width`, `precision` and `suppress_small` are not supported.
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Graph mode dose not support the function.
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Args:
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a (Tensor): Input data.
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@ -4490,7 +4490,9 @@ def copysign(x1, x2, dtype=None):
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if not isinstance(x2, (int, float, list, tuple, Tensor)):
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_raise_type_error('integer, float, list, tuple or Tensor are expected, but got', x2)
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x1, x2 = _to_tensor(x1, x2)
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x2 = _broadcast_to_shape(x2, x1.shape)
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shape_out = _infer_out_shape(F.shape(x1), F.shape(x2))
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x1 = _broadcast_to_shape(x1, shape_out)
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x2 = _broadcast_to_shape(x2, shape_out)
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if _check_same_type(F.dtype(x1), mstype.bool_) or _check_same_type(F.dtype(x2), mstype.bool_):
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_raise_type_error("sign does not accept dtype bool.")
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@ -2637,7 +2637,7 @@ class Acosh(PrimitiveWithInfer):
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TypeError: If `input_x` is not a Tensor.
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Supported Platforms:
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``Ascend`` ``GPU``
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``Ascend`` ``GPU`` ``CPU``
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Examples:
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>>> import numpy as np
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@ -2718,7 +2718,7 @@ class Asinh(PrimitiveWithInfer):
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TypeError: If `input_x` is not a Tensor.
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Supported Platforms:
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``Ascend`` ``GPU``
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``Ascend`` ``GPU`` ``CPU``
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Examples:
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>>> asinh = ops.Asinh()
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