{ }
Computes gradient of the FractionalAvgPool function.
tf.raw_ops.FractionalAvgPoolGrad(
orig_input_tensor_shape,
out_backprop,
row_pooling_sequence,
col_pooling_sequence,
overlapping=False,
name=None
)
Unlike FractionalMaxPoolGrad, we don't need to find arg_max for FractionalAvgPoolGrad, we just need to evenly back-propagate each element of out_backprop to those indices that form the same pooling cell. Therefore, we just need to know the shape of original input tensor, instead of the whole tensor.
Returns | |
---|---|
A Tensor . Has the same type as out_backprop .
|