tf.raw_ops.MaxPoolGrad

Computes gradients of the maxpooling function.

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 w.r.t. the output 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", "EXPLICIT". The type of padding algorithm to use.
explicit_paddings An optional list of ints. Defaults to [].
data_format An optional string from: "NH