c36bfefbf84ce280195e9589e44aac3ee688b11d,onnx_coreml/_operators_nd.py,,_convert_instancenorm,#Any#Any#Any#Any#,775

Before Change

    scale = node.input_tensors[node.inputs[1]]
    bias = node.input_tensors[node.inputs[2]]

    if node.inputs[0] not in graph.shape_dict:
        return err.unsupported_op_configuration(builder, node, graph, "Shape of input unknown")
    
    rank = len(graph.shape_dict[node.inputs[0]])
    // ONNX converts B x C tensor into B x C x 1 hence
    // Rank 2 BN is mapped to Rank 3 BN
    if rank == 3:
        // 1D Batch Norm

After Change

    scale = node.input_tensors[node.inputs[1]]
    bias = node.input_tensors[node.inputs[2]]

    rank = builder._get_rank(node.inputs[0])
    // ONNX converts B x C tensor into B x C x 1 hence
    // Rank 2 BN is mapped to Rank 3 BN
    if rank == 3:
        // 1D Batch Norm

Instances