fix LinSpace doc
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@ -132,23 +132,19 @@ class Range(Cell):
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class LinSpace(Cell):
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r"""
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Generates values in an interval. And return the corresponding interpolation accroding to assist.
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Generates values in an interval.
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Args:
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- **start** (Union[int, float]) - The start of interval, With shape of 0-D.
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- **stop** (Union[int, float]) - The end of interval, With shape of 0-D.
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- **num** (int) - ticks number in the interval, the ticks include start and stop value.
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With shape of 0-D.
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start (Union[int, float]): The start of interval. With shape of 0-D.
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stop (Union[int, float]): The end of interval. With shape of 0-D.
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num (int): ticks number in the interval, the ticks include start and stop value. With shape of 0-D.
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Outputs:
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Tensor, With type same as `start`. The shape is 1-D with length of `num`.
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Examples:
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>>> linspace = nn.LinSpace()
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>>> start = Tensor(1, mindspore.float32)
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>>> stop = Tensor(10, mindspore.float32)
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>>> num = Tensor(5, mindspore.int32)
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>>> output = linspace(start, stop, num)
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>>> linspace = nn.LinSpace(1, 10, 5)
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>>> output = linspace()
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[1, 3.25, 5.5, 7.75, 10]
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"""
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@ -2711,7 +2711,7 @@ class ROIAlign(PrimitiveWithInfer):
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Examples:
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>>> input_tensor = Tensor(np.array([[[[1., 2.], [3., 4.]]]]), mindspore.float32)
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>>> rois = Tensor(np.array([[0, 0.2, 0.3, 0.2, 0.3]]), mindspore.float32)
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>>> roi_align = P.ROIAlign(1, 1, 0.5, 2)
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>>> roi_align = P.ROIAlign(2, 2, 0.5, 2)
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>>> output_tensor = roi_align(input_tensor, rois)
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>>> assert output_tensor == Tensor(np.array([[[[2.15]]]]), mindspore.float32)
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"""
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@ -4980,4 +4980,5 @@ class LRN(PrimitiveWithInfer):
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return x_dtype
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def infer_shape(self, x_shape):
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validator.check_integer("x_shape", len(x_shape), 4, Rel.EQ, self.name)
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return x_shape
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