Comments (2)
I get the same error:
sc{border_mode='valid', subsample=(2, 2), conv_mode='conv', precision='float32'}.0, Constant{1.0}, Constant{0.0})
Toposort index: 1255
Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType obje
ct at 0x7ff74b980a90>, Scalar(float32), Scalar(float32)]
Inputs shapes: [(64, 3, 230, 230), (7, 7, 3, 64), (64, 7, 114, 84), 'No shapes', (), ()]
Inputs strides: [(158700, 52900, 230, 1), (1344, 192, 64, 1), (67032, 9576, 84, 1), 'No strides', (), ()]
Inputs values: ['not shown', 'not shown', 'not shown', <capsule object NULL at 0x7ff739d00090>, 1.0, 0.0]
Inputs type_num: ['', '', '', '', 11, 11]
Inputs name: ('image', 'kernel', 'output', 'descriptor', 'alpha', 'beta')
Outputs clients: [[GpuElemwise{add,no_inplace}(GpuDnnConv{algo='small', inplace=True}.0, GpuDimShuffle{x,0,x,x}.0)]]
keras version: 2.0.3
theano version: 0.9.0
python version: 3.6.1
OS: Ubuntu 16.04.2 LTS
Although, I get the same error with both the VGG16 and the ResNet50 models from this repo.
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To those still struggling with this issue, I posted the fix on: keras-team/keras#6029 (comment)
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