WenmuZhou commented on issue #16232: how can I load a pre-trained model with different shape and same name of last layer URL: https://github.com/apache/incubator-mxnet/issues/16232#issuecomment-535285619 a simple code to reproduce is ```python # -*- coding: utf-8 -*- # @Time : 2019/9/26 8:56 # @Author : zhoujun from mxnet import gluon from mxnet import nd class Net(gluon.nn.HybridBlock): def __init__(self,out): super().__init__() self.conv = gluon.nn.Conv2D(16,kernel_size=3) self.fc = gluon.nn.Dense(out) def hybrid_forward(self, F, x, *args, **kwargs): x = self.conv(x) return self.fc(x) if __name__ == '__main__': net = Net(10) net.initialize() input = nd.random.randn(1,3,20,20) y = net(input) print(y.shape) net.save_parameters('net.params') net1 = Net(11) net1.load_parameters('net.params') ``` and the output is ```bash (1, 10) Traceback (most recent call last): File "E:/zj/code/crnn.pytorch/mxnet_t.py", line 26, in <module> net1.load_parameters('net.params') File "D:\Anaconda3\lib\site-packages\mxnet\gluon\block.py", line 410, in load_parameters params[name]._load_init(loaded[name], ctx, cast_dtype=cast_dtype, dtype_source=dtype_source) File "D:\Anaconda3\lib\site-packages\mxnet\gluon\parameter.py", line 279, in _load_init self.name, str(self.shape), str(data.shape)) AssertionError: Failed loading Parameter 'dense1_weight' from saved params: shape incompatible expected (11, 0) vs saved (10, 5184) ```
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