tf.raw_ops.MaxPoolGradGrad

Computes second-order gradients of the maxpooling function.

Compat aliases for migration

tf.compat.v1.raw_ops.MaxPoolGradGrad

tf.raw_ops.MaxPoolGradGrad(
    orig_input,
    orig_output,
    grad,
    ksize,
    strides,
    padding,
    data_format='NHWC',
    name=None
)

Args
`orig_input`	A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`. The original input tensor.
`orig_output`	A `Tensor`. Must have the same type as `orig_input`. The original output tensor.
`grad`	A `Tensor`. Must have the same type as `orig_input`. 4-D. Gradients of gradients w.r.t. the input of `max_pool`.
`ksize`	A list of `ints` that has length `>= 4`. The size of the window for each dimension of the input tensor.
`strides`	A list of `ints` that has length `>= 4`. The stride of the sliding window for each dimension of the input tensor.
`padding`	A `string` from: `"SAME", "VALID"`. The type of padding algorithm to use.
`data_format`	An optional `string` from: `"NHWC", "NCHW"`. Defaults to `"NHWC"`. Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width].
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `orig_input`.

Args