tf.raw_ops.AvgPoolGrad

Computes gradients of the average pooling function.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.AvgPoolGrad

tf.raw_ops.AvgPoolGrad(
    orig_input_shape, grad, ksize, strides, padding, data_format='NHWC', name=None
)

Args
orig_input_shape	A Tensor of type int32. 1-D. Shape of the original input to avg_pool.
grad	A Tensor. Must be one of the following types: half, bfloat16, float32, float64. 4-D with shape [batch, height, width, channels]. Gradients w.r.t. the output of avg_pool.
ksize	A list of ints that has length >= 4. The size of the sliding window for each dimension of the input.
strides	A list of ints that has length >= 4. The stride of the sliding window for each dimension of the input.
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 grad.