transformers

678bb248 - Make assertions only if actually chunking forward (#13598)

Make assertions only if actually chunking forward (#13598) This moves the assertion on checking input dimensions into a block that will only be called if the function is actually going to do chunking forward. This is often not the case at inference time and PyTorch tracing a model with this assertion in it leads to a tracing warning. TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! input_tensor.shape[chunk_dim] == tensor_shape for input_tensor in input_tensors