kaivu1999 opened a new issue #15077: Shape inconsistent URL: https://github.com/apache/incubator-mxnet/issues/15077 Note: Providing complete information in the most concise form is the best way to get help. This issue template serves as the checklist for essential information to most of the technical issues and bug reports. For non-technical issues and feature requests, feel free to present the information in what you believe is the best form. For Q & A and discussion, please start a discussion thread at https://discuss.mxnet.io ## Description mxnet.base.MXNetError: Shape inconsistent, Provided = [4096,25088], inferred shape=(4096,2048) ## Environment info (Required) CuDNN 7.1.4 Cuda 9.2 Nvcc V9.2.148 Package used (Python/R/Scala/Julia): Python packages certifi==2019.3.9 chardet==3.0.4 cycler==0.10.0 gluoncv==0.4.0.post0 graphviz==0.8.4 idna==2.8 kiwisolver==1.1.0 matplotlib==3.0.3 mxnet-cu92==1.4.1 numpy==1.14.6 Pillow==6.0.0 pkg-resources==0.0.0 pyparsing==2.4.0 python-dateutil==2.8.0 requests==2.22.0 scipy==1.3.0 six==1.12.0 tqdm==4.32.1 urllib3==1.25.2 Code: ``` net = models.vgg11(pretrained=True,ctx=ctx) transform_test = transforms.Compose([ transforms.Resize((64,64)), transforms.ToTensor(), transforms.Normalize([0.4914, 0.4822, 0.4465], [0.2023, 0.1994, 0.2010]) ]) val_data = gluon.data.DataLoader( gluon.data.vision.CIFAR10(train=False).transform_first(transform_test), batch_size=batch_size, shuffle=False, num_workers=num_workers, last_batch='discard') def test(ctx, val_data): metric = mx.metric.Accuracy() for i, batch in enumerate(val_data): data = gluon.utils.split_and_load(batch[0], ctx_list=[ctx], batch_axis=0) label = gluon.utils.split_and_load(batch[1], ctx_list=[ctx], batch_axis=0) # print("data and label are ready") outputs = [net(X) for X in data] # print("Got the outputs") metric.update(label, outputs) return metric.get() name, val_acc = test(ctx, val_data) ``` ## Error Message: ``` >>> name, val_acc = test(ctx, val_data) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "<stdin>", line 7, in test File "<stdin>", line 7, in <listcomp> File "/home/kaivalya/try/env_try1/lib/python3.5/site-packages/mxnet/gluon/block.py", line 540, in __call__ out = self.forward(*args) File "/home/kaivalya/try/env_try1/lib/python3.5/site-packages/mxnet/gluon/block.py", line 917, in forward return self.hybrid_forward(ndarray, x, *args, **params) File "/home/kaivalya/try/env_try1/lib/python3.5/site-packages/mxnet/gluon/model_zoo/vision/vgg.py", line 84, in hybrid_forward x = self.features(x) File "/home/kaivalya/try/env_try1/lib/python3.5/site-packages/mxnet/gluon/block.py", line 540, in __call__ out = self.forward(*args) File "/home/kaivalya/try/env_try1/lib/python3.5/site-packages/mxnet/gluon/block.py", line 917, in forward return self.hybrid_forward(ndarray, x, *args, **params) File "/home/kaivalya/try/env_try1/lib/python3.5/site-packages/mxnet/gluon/nn/basic_layers.py", line 117, in hybrid_forward x = block(x) File "/home/kaivalya/try/env_try1/lib/python3.5/site-packages/mxnet/gluon/block.py", line 540, in __call__ out = self.forward(*args) File "/home/kaivalya/try/env_try1/lib/python3.5/site-packages/mxnet/gluon/block.py", line 917, in forward return self.hybrid_forward(ndarray, x, *args, **params) File "/home/kaivalya/try/env_try1/lib/python3.5/site-packages/mxnet/gluon/nn/basic_layers.py", line 221, in hybrid_forward flatten=self._flatten, name='fwd') File "<string>", line 84, in FullyConnected File "/home/kaivalya/try/env_try1/lib/python3.5/site-packages/mxnet/_ctypes/ndarray.py", line 92, in _imperative_invoke ctypes.byref(out_stypes))) File "/home/kaivalya/try/env_try1/lib/python3.5/site-packages/mxnet/base.py", line 252, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: Shape inconsistent, Provided = [4096,25088], inferred shape=(4096,2048) ``` Can someone help?
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