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@@ -859,6 +859,11 @@ class MaxPool(_Pool): |
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Outputs: |
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Tensor, with shape :math:`(N, C_{out}, H_{out}, W_{out})`. |
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Examples: |
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>>> input_tensor = Tensor(np.arange(1 * 3 * 3 * 4).reshape((1, 3, 3, 4)), mindspore.float32) |
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>>> maxpool_op = P.MaxPool(padding="VALID", ksize=2, strides=1) |
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>>> output_tensor = maxpool_op(input_tensor) |
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""" |
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@prim_attr_register |
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@@ -905,6 +910,11 @@ class MaxPoolWithArgmax(_Pool): |
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- **output** (Tensor) - Maxpooling result, with shape :math:`(N, C_{out}, H_{out}, W_{out})`. |
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- **mask** (Tensor) - Max values' index represented by the mask. |
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Examples: |
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>>> input_tensor = Tensor(np.arange(1 * 3 * 3 * 4).reshape((1, 3, 3, 4)), mindspore.float32) |
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>>> maxpool_arg_op = P.MaxPoolWithArgmax(padding="VALID", ksize=2, strides=1) |
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>>> output_tensor, argmax = maxpool_arg_op(input_tensor) |
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""" |
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def __init__(self, ksize=1, strides=1, padding="valid"): |
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super(MaxPoolWithArgmax, self).__init__(ksize, strides, padding) |
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