使用genoff.py时出现以下错误

Traceback (most recent call last):

  File "genoff.py", line 288, in <module>

    in_height, in_width, half_input, input_format, fake_device)

  File "genoff.py", line 246, in genoff

    check_trace=False)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/jit/__init__.py", line 858, in trace

    check_tolerance, _force_outplace, _module_class)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/jit/__init__.py", line 997, in trace_module

    module._c._create_method_from_trace(method_name, func, example_inputs, var_lookup_fn, _force_outplace)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 539, in __call__

    result = self._slow_forward(*input, **kwargs)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 525, in _slow_forward

    result = self.forward(*input, **kwargs)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torchvision/models/quantization/inception.py", line 37, in forward

    x = super(QuantizableInception3, self).forward(x)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torchvision/models/inception.py", line 78, in forward

    x = self.Conv2d_1a_3x3(x)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 539, in __call__

    result = self._slow_forward(*input, **kwargs)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 525, in _slow_forward

    result = self.forward(*input, **kwargs)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torchvision/models/inception.py", line 325, in forward

    x = self.conv(x)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 539, in __call__

    result = self._slow_forward(*input, **kwargs)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 525, in _slow_forward

    result = self.forward(*input, **kwargs)

  File "/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch_mlu/core/quantized/modules/conv.py", line 187, in forward

    self.quantized_mode)

RuntimeError: torch_mlu::conv2d() Expected a value of type 'Tensor' for argument '_7' but instead found type 'NoneType'.

Position: 7

Value: None

Declaration: torch_mlu::conv2d(Tensor _0, Tensor _1, Tensor _2, int[] _3, int[] _4, int[] _5, int _6, Tensor _7, Tensor _8) -> (Tensor _0)

使用的命令：

python genoff.py -fake_device 0 \

-autotune 1 \

-autotune_config_path config.ini \

-autotune_time_limit 120 \

-model inception_v3 \

-mname test \

-mcore MLU270 \

-core_number 1 \

-batch_size 1 \

-half_input 1