tf.nn.max_pool3d(input, ksize, strides, padding, name=None)

tf.nn.max_pool3d(input, ksize, strides, padding, name=None)

See the guide: Neural Network > Pooling

Performs 3D max pooling on the input.

Args:

• input: A Tensor. Must be one of the following types: float32, float64, int64, int32, uint8, uint16, int16, int8, complex64, complex128, qint8, quint8, qint32, half. Shape [batch, depth, rows, cols, channels] tensor to pool over.
• ksize: A list of ints that has length >= 5. 1-D tensor of length 5. The size of the window for each dimension of the input tensor. Must have ksize[0] = ksize[4] = 1.
• strides: A list of ints that has length >= 5. 1-D tensor of length 5. The stride of the sliding window for each dimension of input. Must have strides[0] = strides[4] = 1.
• padding: A string from: "SAME", "VALID". The type of padding algorithm to use.
• name: A name for the operation (optional).

Returns:

A Tensor. Has the same type as input. The max pooled output tensor.

Defined in tensorflow/python/ops/gen_nn_ops.py.