tf.raw_ops.Conv2DBackpropInput

Computes the gradients of convolution with respect to the input.

input_sizes A Tensor of type int32. An integer vector representing the shape of input, where input is a 4-D [batch, height, width, channels] tensor.
filter A Tensor. Must be one of the following types: half, bfloat16, float32, float64, int32. 4-D with shape [filter_height, filter_width, in_channels, out_channels].
out_backprop A Tensor. Must have the same type as filter. 4-D with shape [batch, out_height, out_width, out_channels]. Gradients w.r.t. the output of the convolution.
strides A list of ints. The stride of the sliding window for each dimension of the input of the convolution. Must be in the same order as the dimension specified with format.
padding A string from: "SAME", "VALID", "EXPLICIT". The type of padding algorithm to use.
use_cudnn_on_gpu An optional bool. Defaults to True.
explicit_paddings An optional list of ints. Defaults to []. If paddi