Traceback (most recent call last):
      File "./lxch_test_tf_onnx__mlperf_ssdresnet34.py", line 361, in <module>
        enable_xtcl_save_so, enable_xtcl_load_so, lib_file, json_file, 
params_file)
      File "./lxch_test_tf_onnx__mlperf_ssdresnet34.py", line 137, in xtcl_run
        mod, params = relay.frontend.from_tensorflow(graph_def, layout=layout, 
shape={input_name[0]:(relay.Any(), 3, 1200, 1200)})
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1263, in from_tensorflow
        mod, params = g.from_tensorflow(graph, layout, shape, outputs)
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 659, in from_tensorflow
        func = self._get_relay_func(graph, layout=layout, shape=shape, 
outputs=outputs)
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 619, in _get_relay_func
        self._backtrack_construct(node.name)
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1130, in _backtrack_construct
        node, [], attr, self._control_flow_node_map
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 865, in _convert_control_flow_operator
        op = self._licm_construct(plname, node.input[0])
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1068, in _licm_construct
        actual_expr = self._backtrack_construct(node_name)
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1160, in _backtrack_construct
        converted = self._backtrack_construct(name)
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in _backtrack_construct
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in <listcomp>
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in _backtrack_construct
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in <listcomp>
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in _backtrack_construct
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in <listcomp>
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in _backtrack_construct
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in <listcomp>
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in _backtrack_construct
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in <listcomp>
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in _backtrack_construct
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1137, in <listcomp>
        inputs = [self._backtrack_construct(iname) for iname in node.input]
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1182, in _backtrack_construct
        op = self._convert_operator(node.op, node.name, inputs, attr)
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow.py",
 line 1025, in _convert_operator
        sym = convert_map[op_name](inputs, attrs, self._params, self._mod)
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/frontend/tensorflow_ops.py",
 line 2290, in _impl
        print(attr)
      File 
"/workspace/1104-mlperf/tvm-official/tvm/python/tvm/relay/op/transform.py", 
line 245, in reshape
        tempshape.append(int(shape))
    TypeError: int() argument must be a string, a bytes-like object or a 
number, not 'Any'





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