()
| 31 | output_signature.append(_to_tensor_spec(col)) |
| 32 | |
| 33 | def generator(): |
| 34 | for item in ds: |
| 35 | values = [] |
| 36 | for i, col in enumerate(column_names): |
| 37 | value = item[col] |
| 38 | signature = output_signature[i] |
| 39 | if len(signature.shape.dims) == 0 and hasattr(value, "item"): |
| 40 | value = value.item() |
| 41 | values.append(value) |
| 42 | yield tuple(values) |
| 43 | |
| 44 | return Dataset.from_generator(generator, output_signature=tuple(output_signature)) |