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"""
Max_pool2d op.
"""
from aitemplate.compiler.ops.pool.pool2d import pool2d_base
# pylint: disable=C0103
[docs]class max_pool2d(pool2d_base):
r"""
Applies a 2D max pooling over an input signal composed of several input
planes.
In the simplest case, the output value of the layer with input size :math:`(N, C, H, W)`,
output :math:`(N, C, H_{out}, W_{out})` and :attr:`kernel_size` :math:`(kH, kW)`
can be precisely described as:
.. math::
\begin{aligned}
out(N_i, C_j, h, w) ={} & \max_{m=0, \ldots, kH-1} \max_{n=0, \ldots, kW-1} \\
& \text{input}(N_i, C_j, \text{stride[0]} \times h + m,
\text{stride[1]} \times w + n)
\end{aligned}
If :attr:`pad` is non-zero, then the input is implicitly padded with negative infinity on both sides.
* .attr.:`kernel_size`: the size of the window
* .attr.:`stride`: the stride of the window
* .attr.:`pad`: implicit zero padding to be added on both sides
Args:
input (Tensor [N, H, W, C]): the input tensor.
Return:
Tensor [N, H_out, W_out, C].
"""
def __init__(self, kernel_size, stride, pad) -> None:
super().__init__(stride, pad, kernel_size, "max")
self._attrs["op"] = "max_pool2d"