I guess the error maybe caused by model load difference betweenthe onnx and mxnet model, focusing on ` relay.Function` and `tvm.IRModule.from_expr`,
**1. I am not sure what do they used for, and what should I write for onnx model?** ``` def customed_network_from_onnx(model_path, input_shapes, dtype="float32"): import onnx onnx_model = onnx.load(model_path) mod, params = relay.frontend.from_onnx(onnx_model, input_shapes, dtype=dtype) return mod, params def get_network(name, batch_size, input_name=None, input_size=None): ... elif name == 'mxnet': # an example for mxnet model from mxnet.gluon.model_zoo.vision import get_model block = get_model('resnet18_v1', pretrained=True) mod, params = relay.frontend.from_mxnet(block, shape={'data': input_shape}, dtype=dtype) net = mod["main"] net = relay.Function(net.params, relay.nn.softmax(net.body), None, net.type_params, net.attrs) mod = tvm.IRModule.from_expr(net) elif name.split('.')[-1] == 'onnx': model_path = '../data/' + name input_shape = (batch_size, 3, input_size, input_size) input_shape_dict = {input_name: input_shape} mod, params = customed_network_from_onnx(model_path, input_shape_dict) output_shape = (batch_size, 2) ... ``` **2. The breakpoint comes at `tophub_context = autotvm.util.EmptyContext()` for auto-tune mode, while program goes into `tophub_context = autotvm.tophub.context(list(target.values()))` with auto-tune closed.** In `relay.build(mod, target=target, params=params)`: ``` # If current dispatch context is fallback context (the default root context), # then load pre-tuned parameters from TopHub if isinstance(autotvm.DispatchContext.current, autotvm.FallbackContext): tophub_context = autotvm.tophub.context(list(target.values())) else: tophub_context = autotvm.util.EmptyContext() ``` According analysis of 1 and 2, I guess the load method of onnx model caused the problem. Anyone can give me some advice to auto-tune my own onnx model? --- [Visit Topic](https://discuss.tvm.ai/t/auto-tune-finished-but-build-error-occurs-for-my-own-onnx-model/6409/2) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/320deaee100a51303bbcc3434a3dde5d54d68c6d61770dcaf34b17a7704b5be2).