前辈您好，最近学习了您ACNet、ResRep、RepVGG几篇文章，您真的有非凡的创造力！但我使用您在examples中给出的prune.py示例对resnet56和自己模型的压缩中遇到了相同的报错，可以向您请教下吗？
（1）对resnet56压缩时的报错如下：
Traceback (most recent call last):
File "/home3/xxx/torch-model-compression-main/examples/torchslim/pytorch_cifar/prune.py", line 294, in
solver.run()
File "/home3/xxx/torch-model-compression-main/torchslim/slim_solver.py", line 790, in run
self.run_hook(self.iteration_end_hook)
File "/home3/xxx/torch-model-compression-main/torchslim/slim_solver.py", line 660, in run_hook
function(self)
File "/home3/xxx/torch-model-compression-main/torchslim/pruning/resrep.py", line 827, in after_iteration_hook
current_graph.build_graph(graph_inputs)
File "/home3/xxx/torch-model-compression-main/torchpruner/graph.py", line 622, in build_graph
operator_dict[operator].fill_shape()
File "/home3/xxx/torch-model-compression-main/torchpruner/operator/operator.py", line 191, in fill_shape
"'"
RuntimeError: Fail to predict the shape on operator name: 'self.bn1.BatchNormalization', type: 'BatchNormalization'
（2）对自己构建模型的报错如下：
Traceback (most recent call last):
File "/home3/xxx/.pycharm_helpers/pydev/pydevd.py", line 1434, in _exec
pydev_imports.execfile(file, globals, locals) # execute the script
File "/home3/xxx/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "/home3/gaoya/torch-model-compression-main/examples/torchslim/pytorch_cifar/prune.py", line 203, in
solver.run()
File "/home3/xxx/torch-model-compression-main/torchslim/slim_solver.py", line 790, in run
self.run_hook(self.iteration_end_hook)
File "/home3/xxx/torch-model-compression-main/torchslim/slim_solver.py", line 660, in run_hook
function(self)
File "/home3/xxx/torch-model-compression-main/torchslim/pruning/resrep.py", line 827, in after_iteration_hook
current_graph.build_graph(graph_inputs)
File "/home3/xxx/torch-model-compression-main/torchpruner/graph.py", line 622, in build_graph
operator_dict[operator].fill_shape()
File "/home3/xxx/torch-model-compression-main/torchpruner/operator/operator.py", line 191, in fill_shape
"'" RuntimeError: Fail to predict the shape on operator name: 'self.net_encoder.encoder_inp_lnorm.BatchNormalization', type: 'BatchNormalization'
我的理解是在构建静态图时无法正确预测BN层中节点的形状，我的系统是Linux，torch==1.13.1，torchvision==0.14.1，可以向您请教下关于这个问题吗？
gdh1995
commented
1 year ago
前辈您好，最近学习了您ACNet、ResRep、RepVGG几篇文章，您真的有非凡的创造力！但我使用您在examples中给出的prune.py示例对resnet56和自己模型的压缩中遇到了相同的报错，可以向您请教下吗？ （1）对resnet56压缩时的报错如下： Traceback (most recent call last): File "/home3/xxx/torch-model-compression-main/examples/torchslim/pytorch_cifar/prune.py", line 294, in
solver.run()
File "/home3/xxx/torch-model-compression-main/torchslim/slim_solver.py", line 790, in run
self.run_hook(self.iteration_end_hook)
File "/home3/xxx/torch-model-compression-main/torchslim/slim_solver.py", line 660, in run_hook
function(self)
File "/home3/xxx/torch-model-compression-main/torchslim/pruning/resrep.py", line 827, in after_iteration_hook
current_graph.build_graph(graph_inputs)
File "/home3/xxx/torch-model-compression-main/torchpruner/graph.py", line 622, in build_graph
operator_dict[operator].fill_shape()
File "/home3/xxx/torch-model-compression-main/torchpruner/operator/operator.py", line 191, in fill_shape