convert keras model to tvm error

[yueyihua]

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
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))
`

[tqchen]

Thanks for reporting the problem, the community uses https://discuss.tvm.ai/ as a way to collective resolve these questions. Please open a new troubleshooting thread there