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when I run the test_fcn8_vgg.py,the errors is follow Conv2DSlowBackpropInput: Size of out_backprop doesn't match computed: actual = 23, computed = 12 spatial_dim: 2 input: 23 filter: 4 output: 23 stride: 2 dilation: 1 [[node content_vgg/upscore2/conv2d_transpose (defined at /media/gyb/10320E2710320E27/test_fcn/fcn8_vgg.py:277) = Conv2DBackpropInput[T=DT_FLOAT, data_format="NCHW", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 1, 2, 2], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](content_vgg/upscore2/conv2d_transpose-0-VecPermuteNHWCToNCHW-LayoutOptimizer, upscore2/up_filter/read, content_vgg/score_fr/BiasAdd)]] [[{{node content_vgg/upscore2/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer/_43}} = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_231_content_vgg/upscore2/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer", tensor_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
The text was updated successfully, but these errors were encountered:
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when I run the test_fcn8_vgg.py,the errors is follow
Conv2DSlowBackpropInput: Size of out_backprop doesn't match computed: actual = 23, computed = 12 spatial_dim: 2 input: 23 filter: 4 output: 23 stride: 2 dilation: 1
[[node content_vgg/upscore2/conv2d_transpose (defined at /media/gyb/10320E2710320E27/test_fcn/fcn8_vgg.py:277) = Conv2DBackpropInput[T=DT_FLOAT, data_format="NCHW", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 1, 2, 2], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](content_vgg/upscore2/conv2d_transpose-0-VecPermuteNHWCToNCHW-LayoutOptimizer, upscore2/up_filter/read, content_vgg/score_fr/BiasAdd)]]
[[{{node content_vgg/upscore2/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer/_43}} = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_231_content_vgg/upscore2/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer", tensor_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
The text was updated successfully, but these errors were encountered: