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fix cpu ops example

This commit is contained in:
yanzhenxiang2020 2021-06-25 17:58:30 +08:00
parent 0459e53040
commit de025bd228
2 changed files with 6 additions and 6 deletions
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6
mindspore/ops/operations/array_ops.py
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@ -3671,7 +3671,7 @@ class TensorScatterUpdate(PrimitiveWithInfer):
ValueError: If the value of `input_x` are not match with input `indices`. ValueError: If the value of `input_x` are not match with input `indices`.
Supported Platforms: Supported Platforms:
``Ascend`` ``GPU`` ``Ascend`` ``GPU`` ``CPU``
Examples: Examples:
>>> input_x = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mindspore.float32) >>> input_x = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mindspore.float32)
@ -4656,7 +4656,7 @@ class SpaceToDepth(PrimitiveWithInfer):
ValueError: If length of shape of `x` is not equal to 4. ValueError: If length of shape of `x` is not equal to 4.
Supported Platforms: Supported Platforms:
``Ascend`` ``GPU`` ``Ascend`` ``GPU`` ``CPU``
Examples: Examples:
>>> x = Tensor(np.random.rand(1,3,2,2), mindspore.float32) >>> x = Tensor(np.random.rand(1,3,2,2), mindspore.float32)
@ -4725,7 +4725,7 @@ class DepthToSpace(PrimitiveWithInfer):
ValueError: If length of shape of `x` is not equal to 4. ValueError: If length of shape of `x` is not equal to 4.
Supported Platforms: Supported Platforms:
``Ascend`` ``GPU`` ``Ascend`` ``GPU`` ``CPU``
Examples: Examples:
>>> x = Tensor(np.random.rand(1, 12, 1, 1), mindspore.float32) >>> x = Tensor(np.random.rand(1, 12, 1, 1), mindspore.float32)

6
mindspore/ops/operations/math_ops.py
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@ -4167,11 +4167,11 @@ class Atanh(PrimitiveWithInfer):
``Ascend`` ``CPU`` ``Ascend`` ``CPU``
Examples: Examples:
>>> x = Tensor(np.array([1.047, 0.785]), mindspore.float32) >>> x = Tensor(np.array([0, -0.5]), mindspore.float32)
>>> atanh = ops.Atanh() >>> atanh = ops.Atanh()
>>> output = atanh(x) >>> output = atanh(x)
>>> print(output) >>> print(output)
[1.8869909 1.058268 ] [0. -0.54930614]
""" """
@prim_attr_register @prim_attr_register
@ -4526,7 +4526,7 @@ class Eps(PrimitiveWithInfer):
Tensor, has the same type and shape as `x`, but filled with `x` dtype minimum val. Tensor, has the same type and shape as `x`, but filled with `x` dtype minimum val.
Supported Platforms: Supported Platforms:
``Ascend`` ``GPU`` ``Ascend`` ``GPU`` ``CPU``
Examples: Examples:
>>> x = Tensor([4, 1, 2, 3], mindspore.float32) >>> x = Tensor([4, 1, 2, 3], mindspore.float32)