Hi, I am trying to execute resnet-runtime example provided in the glow. Here I am getting the following error:
$./bin/resnet-runtime /test/imagenet/n04548280/ -backend=CPU -max-images=1
glow/lib/Base/Tensor.h:422: glow::Tensor glow::Tensor::getUnowned(llvm::ArrayRef<dim_t>, llvm::ArrayRef<dim_t>) const: Assertion `actualSize() == unownedTensor.actualSize() && "The size of the unowned tensor " "should be the same as the size of " “the original tensor”’ failed.
Aborted (core dumped)
and I got another error while executing the resenet-training example as below
$./bin/resnet-training /test/image_path_list.txt -backend=CPU
Loading resnet50 model.
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0327 14:22:28.656437 11843 Graph.cpp:5912] Layout requirements checking is enabled
Preparing for training.
Differentiating graph.
Compiling backend.
I0327 14:22:28.959044 11843 Partitioner.cpp:482] The model is too small for applying partition.
Model size : 103058848
Backend Name : CPU
Device memory: 2000000000
I0327 14:22:33.969435 11843 Partitioner.cpp:88] The number of partitions is : 2
I0327 14:22:33.969450 11843 PartitionerUtils.cpp:549] 	 Partition 0:
Name :	resnet50
BackendKind :	CPU
context count :	1
total Memory :	103062848
input size:	103042720
input count :	268
input only from peers count :	267
output size:	4000
constant size:	16128
I0327 14:22:33.969477 11843 PartitionerUtils.cpp:570] 		 LogicalDeviceIDs :	0
I0327 14:22:33.969482 11843 PartitionerUtils.cpp:549] 	 Partition 1:
Name :	resnet50_grad
BackendKind :	CPU
context count :	1
total Memory :	409959712
input size:	205270848
input count :	429
input only from peers count :	0
output size:	204672736
constant size:	16128
I0327 14:22:33.969525 11843 PartitionerUtils.cpp:570] 		 LogicalDeviceIDs :	0
F0327 14:23:07.816742 11843 Image.cpp:638] Check failed: std::equal(localCopy.dims().begin(), localCopy.dims().end(), inputImageData.dims().begin() + 1) All images must have the same dimensions
*** Check failure stack trace: ***
Aborted (core dumped)
All the images are png format with resolution 300x300. I coun’t get the issue here.
Thank you