Open skiyDev opened 6 years ago
Hi, After execute run_testing.py script, i see following message: ValueError: CorrMM images and kernel must have the same stack size
Apply node that caused the error: CorrMM{half, (1, 1), (1, 1)}(InplaceDimShuffle{0,2,3,1}.0, Subtensor{::, ::, ::int64, ::int64}.0) Toposort index: 60 Inputs types: [TensorType(float32, 4D), TensorType(float32, 4D)] Inputs shapes: [(32L, 16L, 24L, 48L), (3L, 3L, 64L, 32L)] Inputs strides: [(73728L, 96L, 4L, 1536L), (4L, 12L, -1152L, -36L)] Inputs values: ['not shown', 'not shown'] Outputs clients: [[Elemwise{Composite{((i0 + i1) + Abs((i0 + i1)))}}[(0, 0)](CorrMM{half, (1, 1), (1, 1)}.0, InplaceDimShuffle{x,0,x,x}.0)]]
keras version is 2.0.8 keras.json { "epsilon": 1e-07, "floatx": "float32", "image_data_format": "channels_last", "backend": "theano", "image_dim_ordering": "th" } os win server 2008 r2 python 2.7
I use test_best_weights.h5 and DRIVE database.
Hi, After execute run_testing.py script, i see following message: ValueError: CorrMM images and kernel must have the same stack size
Apply node that caused the error: CorrMM{half, (1, 1), (1, 1)}(InplaceDimShuffle{0,2,3,1}.0, Subtensor{::, ::, ::int64, ::int64}.0) Toposort index: 60 Inputs types: [TensorType(float32, 4D), TensorType(float32, 4D)] Inputs shapes: [(32L, 16L, 24L, 48L), (3L, 3L, 64L, 32L)] Inputs strides: [(73728L, 96L, 4L, 1536L), (4L, 12L, -1152L, -36L)] Inputs values: ['not shown', 'not shown'] Outputs clients: [[Elemwise{Composite{((i0 + i1) + Abs((i0 + i1)))}}[(0, 0)](CorrMM{half, (1, 1), (1, 1)}.0, InplaceDimShuffle{x,0,x,x}.0)]]
keras version is 2.0.8 keras.json { "epsilon": 1e-07, "floatx": "float32", "image_data_format": "channels_last", "backend": "theano", "image_dim_ordering": "th" } os win server 2008 r2 python 2.7
I use test_best_weights.h5 and DRIVE database.