I want to know what is the difference between a these two. For me, they are the same function, so I do not see the reason of existance two same functions.
In TensorFlow 2, they accept different arguments:
Computes sums of N-D convolutions (actually cross-correlation).
input: An (N+2)-D Tensor of type T, of shape [batch_size] + input_spatial_shape + [in_channels]
While the second one is more specific:
Computes a 1-D convolution given 3-D input and filter tensors.
input: A 3D Tensor.input: A 3D Tensor.