为了测试模型量化的功能，我们尝试着量化faster_rcnn模型。

模型采用的是pytorch官方的fasterrcnn_resnet50_fpn（）模型，其中为了测试我们将num_classes参数赋值为1。

docker镜像里的pytorch 版本为1.3.0,torchision版本为0.2.1。

在按照官方手册量化模型的步骤，进行到在CPU上进行推理，生成量化值的时候，即调用quantized_model(input_tensor)的时候，报错如下：

…………

>>> input_tensor.shape           

torch.Size([3, 3, 640, 480])

>>> quantized_model(input_tensor)

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

[warning] It seems that evaluation reaches maxium img_num or iteration is in network. Quantization still works.

Traceback (most recent call last):

  File "<stdin>", line 1, in <module>

  File "/torch/venv3/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 541, in __call__

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

  File "/torch/venv3/pytorch/lib/python3.5/site-packages/torchvision/models/detection/generalized_rcnn.py", line 71, in forward

    proposals,proposal_losses = self.rpn(image_sizes, features, self.Anchors, targets)

  File "/torch/venv3/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 541, in __call__

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

  File "/torch/venv3/pytorch/lib/python3.5/site-packages/torchvision/models/detection/rpn.py", line 471, in forward

    proposals = self.box_coder.decode(pred_bbox_deltas.detach(), anchors)

  File "/torch/venv3/pytorch/lib/python3.5/site-packages/torchvision/models/detection/_utils.py", line 168, in decode

    rel_codes.reshape(sum(boxes_per_image), -1), concat_boxes

RuntimeError: shape '[159882, -1]' is invalid for input of size 920880

我们尝试着在量化前执行推理，依然遇到了相同的错误！

在我们的本地环境执行推理就没有这个错误！请问这是什么情况