Assume we have two TensorFlow tensors:
input and weights.
input is a tensor of n images, say. So its shape is [n, H, W, C].
weights is a simple list of n scalar weights: [w1 w2 ... wn]
The aim is to scalar-multiply each image by its corresponding weight.
How would one do that?
I tried to use tf.nn.conv2D with 1x1 kernels but I do not know how to reshape our rank 1 weight tensor into the required rank 4 kernel tensor.
Any help would be appreciated.