Loading fairseq/data.py +4 −3 Changes for fairseq/data.py: 4 added lines, 3 removed lines. Original line number Diff line number Diff line Loading @@ -297,9 +297,10 @@ def _make_batches(src, dst, indices, max_tokens, max_sentences, max_positions, if ignore_invalid_inputs: ignored.append(idx) continue raise Exception( "Unable to handle input id {} of size {} / {}.".format( idx, src.sizes[idx], dst.sizes[idx])) raise Exception(( "Sample #{} has size (src={}, dst={}) but max size is {}." " Skip this example with --skip-invalid-size-inputs-valid-test" ).format(idx, src.sizes[idx], dst.sizes[idx], max_positions)) sample_len = max(sample_len, src.sizes[idx], dst.sizes[idx]) num_tokens = (len(batch) + 1) * sample_len Loading Loading
fairseq/data.py +4 −3 Changes for fairseq/data.py: 4 added lines, 3 removed lines. Original line number Diff line number Diff line Loading @@ -297,9 +297,10 @@ def _make_batches(src, dst, indices, max_tokens, max_sentences, max_positions, if ignore_invalid_inputs: ignored.append(idx) continue raise Exception( "Unable to handle input id {} of size {} / {}.".format( idx, src.sizes[idx], dst.sizes[idx])) raise Exception(( "Sample #{} has size (src={}, dst={}) but max size is {}." " Skip this example with --skip-invalid-size-inputs-valid-test" ).format(idx, src.sizes[idx], dst.sizes[idx], max_positions)) sample_len = max(sample_len, src.sizes[idx], dst.sizes[idx]) num_tokens = (len(batch) + 1) * sample_len Loading