yueyihua opened a new issue #4655: convert keras model to tvm error URL: https://github.com/apache/incubator-tvm/issues/4655 When I convert a keras model to tvm， an error occur: Traceback (most recent call last): File "traffic_cnn_keras_tvm_dbg.py", line 225, in <module> mod, params = relay.frontend.from_keras(keras_model, shape_dict) File "/home/yyh/3rdparty/tvm/python/tvm/relay/frontend/keras.py", line 821, in from_keras zip_node = zip(node.node_indices, node.tensor_indices, node.inbound_layers) TypeError: zip argument #1 must support iteration My code: `x = np.ones([1, 1, IMAGE_SIZE, IMAGE_SIZE]) shape_dict = {'conv2d_input': x.shape} mod, params = relay.frontend.from_keras(keras_model, shape_dict) # compile the model target = 'cuda' ctx = tvm.gpu(0) with relay.build_config(opt_level=3): executor = relay.build_module.create_executor('graph', mod, ctx, target) graph, lib, params = relay.build_module.build(mod, target, params=params) lib.export_library("./deploy_lib.so") print('lib export succeefully') with open("./deploy_graph.json", "w") as fo: fo.write(graph.json()) with open("./deploy_param.params", "wb") as fo: fo.write(nnvm.compiler.save_param_dict(params)) `
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