leandron commented on a change in pull request #6366: URL: https://github.com/apache/incubator-tvm/pull/6366#discussion_r481294810
########## File path: python/tvm/contrib/target/onnx.py ########## @@ -510,6 +510,99 @@ def convert(cls, node_entry, model_container, node_dict): axis=axis) model_container.add_nodes([slice_node]) +class LayoutTransform(OpConverter): + """ Operator converter for Layouttransform + """ + + @classmethod + def convert_attributes(cls, attrs): + src_layout = attrs.get_str("src_layout") + dst_layout = attrs.get_str("dst_layout") + + perm = [src_layout.index(c) for c in dst_layout] + return {'perm': tuple(perm)} + + @classmethod + def convert(cls, node_entry, model_container, node_dict): + attrs = cls.convert_attributes(node_entry['relay_node'].attrs) + onnx_node = onnx.helper.make_node("Transpose", + node_entry['input_names'], + node_entry['output_names'], + **attrs) + model_container.add_nodes([onnx_node]) + +class Clip(OpConverter): + """ Operator converter for Clip. + """ + + @classmethod + def convert_attributes(cls, attrs): + return { + 'min': attrs.a_min, + 'max': attrs.a_max + } + + @classmethod + def convert(cls, node_entry, model_container, node_dict): + attrs = cls.convert_attributes(node_entry['relay_node'].attrs) + + name = node_entry['name'] + + def _add_input(val, input_name): + val_arr = numpy.asarray(val).astype(numpy.float32) + input_name = '{}_{}'.format(name, input_name) + add_input(val_arr, input_name, model_container) + return input_name + + input_names = [] + input_names.append(_add_input(attrs['min'], 'min')) + input_names.append(_add_input(attrs['max'], 'max')) + + input_names = [node_entry['input_names'][0]] + input_names + + node = onnx.helper.make_node(cls.__name__, input_names, node_entry['output_names']) + model_container.add_nodes([node]) + +class Expand(OpConverter): + """ Operator converter for Expand_dims. + """ + + @classmethod + def convert_attributes(cls, attrs): + return { + 'axis': attrs.axis, + 'num_newaxis': attrs.num_newaxis + } + + @classmethod + def convert(cls, node_entry, model_container, node_dict): + attrs = cls.convert_attributes(node_entry['relay_node'].attrs) + + name = node_entry['name'] + + def _add_input(val, input_name): + val_arr = numpy.asarray(val).astype(numpy.int64) + input_name = '{}_{}'.format(name, input_name) + add_input(val_arr, input_name, model_container) + return input_name Review comment: Yep. Agree with @comaniac ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org