RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)` #66
Thanks for your great work!!!!
But i met some problems about pytorch.
Traceback (most recent call last): | 0/189 [00:00<?, ?it/s]
File "generate.py", line 146, in <module>
out = generator.generate_mesh_sliding(data)
File "/home/cxj/repository/convolutional_occupancy_networks/src/conv_onet/generation.py", line 181, in generate_mesh_sliding
c = self.encode_crop(inputs, device, vol_bound=vol_bound)
File "/home/cxj/repository/convolutional_occupancy_networks/src/conv_onet/generation.py", line 293, in encode_crop
c = self.model.encode_inputs(input_cur)
File "/home/cxj/repository/convolutional_occupancy_networks/src/conv_onet/models/__init__.py", line 60, in encode_inputs
c = self.encoder(inputs)
File "/home/cxj/anaconda3/envs/conv_onet1/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__
result = self.forward(*input, **kwargs)
File "/home/cxj/repository/convolutional_occupancy_networks/src/encoder/pointnet.py", line 293, in forward
net = self.fc_pos(pp)
File "/home/cxj/anaconda3/envs/conv_onet1/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__
result = self.forward(*input, **kwargs)
File "/home/cxj/anaconda3/envs/conv_onet1/lib/python3.6/site-packages/torch/nn/modules/linear.py", line 87, in forward
return F.linear(input, self.weight, self.bias)
File "/home/cxj/anaconda3/envs/conv_onet1/lib/python3.6/site-packages/torch/nn/functional.py", line 1372, in linear
output = input.matmul(weight.t())
RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)`
Thanks for your great work!!!! But i met some problems about pytorch.
Thanks in advance.