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模型在cpu上跑没问题,量化后跑在线模式,前向传播时,在 nn.MaxPool2d(2, stride=2) 这一层会报错,错误信息如下所示。
尝试在forward函数里打印这一层的输入Tensor的shape,量化前输入shape是 torch.Size([1, 3, 208, 976]), 输出shape是torch.Size([1, 3, 104, 488]),量化后输入依然是torch.Size([1, 3, 208, 976]),然后就报下面这个错了
2020-08-22 08:55:38.023472: [cnmlError] MLU::pool dimension mismatch,output shape is wrong, the given shape is:(n=1, c=3,h=104,w=488, d=0, t=0, data in array:{1, 104, 488, 3, } , but the expected shape is:(n=1, c=4,h=104,w=488, d=0, t=0, data in array:{1, 104, 488, 4, }
2020-08-22 08:55:38.023615: [cnmlError] MLU::pool Op update tensor shape failed
Traceback (most recent call last):
File "quantize_check.py", line 84, in <module>
test(quantized_net, , s)
File "quantize_check.py", line 65, in test
output, output_exist = model(input_var)
File "/opt/cambricon/pytorch/src/catch/venv/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 541, in __call__
result = self.forward(*input, **kwargs)
File "/workspace/LaneDetection2/models/erfnet.py", line 277, in forward
output = self.encoder(input) # predict=False by default
File "/opt/cambricon/pytorch/src/catch/venv/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 541, in __call__
result = self.forward(*input, **kwargs)
File "/workspace/LaneDetection2/models/erfnet.py", line 90, in forward
output = self.initial_block(input)
File "/opt/cambricon/pytorch/src/catch/venv/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 541, in __call__
result = self.forward(*input, **kwargs)
File "/workspace/LaneDetection2/models/erfnet.py", line 22, in forward
print('pool: ' + str(self.pool(input).shape))
File "/opt/cambricon/pytorch/src/catch/venv/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 541, in __call__
result = self.forward(*input, **kwargs)
File "/opt/cambricon/pytorch/src/catch/venv/pytorch/lib/python3.5/site-packages/torch/nn/modules/pooling.py", line 141, in forward
self.return_indices)
File "/opt/cambricon/pytorch/src/catch/venv/pytorch/lib/python3.5/site-packages/torch/_jit_internal.py", line 138, in fn
return if_false(*args, **kwargs)
File "/opt/cambricon/pytorch/src/catch/venv/pytorch/lib/python3.5/site-packages/torch/nn/functional.py", line 488, in _max_pool2d
input, kernel_size, stride, padding, dilation, ceil_mode)
RuntimeError: CNML error: CNML_STATUS_INVALIDPARAM
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