Is there a difference between tf.nn.conv1d and tf.nn.convolution in Tensorflow?

Question

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.

homocomputeris · Answer

In TensorFlow 2, they accept different arguments:

tf.nn.convolution(input,...)
  
  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:

tf.nn.conv1d(input,...)
  
  Computes a 1-D convolution given 3-D input and filter tensors.
  
  input: A 3D Tensor.input: A 3D Tensor.

Is there a difference between tf.nn.conv1d and tf.nn.convolution in Tensorflow?

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