(32): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) (29): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) (26): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) (6): InstanceNorm2d(1024, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) (2): InstanceNorm2d(1024, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) (11): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) (8): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) (5): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) (2): InstanceNorm2d(64, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) RuntimeError: Given groups=1, weight of size, expected input to have 1 channels, but got 3 channels insteadĪnother problem that I had is that for some reason, when I debug, the CPU load is 100% even though there shouldn't be any calculations.
Return parallel_apply(replicas, inputs, kwargs, vice_ids)įile "python3.5/site-packages/torch/nn/parallel/parallel_apply.py", line 77, in parallel_applyįile "python3.5/site-packages/torch/nn/parallel/parallel_apply.py", line 53, in _workerįile "models/pix2pixHD_model.py", line 159, in forwardįeat_map = (real_image, inst_map)įile "models/networks.py", line 278, in forwardįile "python3.5/site-packages/torch/nn/modules/container.py", line 91, in forwardįile "python3.5/site-packages/torch/nn/modules/conv.py", line 301, in forward Outputs = self.parallel_apply(replicas, inputs, kwargs)įile "python3.5/site-packages/torch/nn/parallel/data_parallel.py", line 133, in parallel_apply Variable(data), Variable(data), infer=save_fake)įile "python3.5/site-packages/torch/nn/modules/module.py", line 477, in _call_įile "python3.5/site-packages/torch/nn/parallel/data_parallel.py", line 123, in forward
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