I was trying out PyTorch version 0.4.0a0+42bf2f9 and then encountered the following error, which does not happen using 0.3.1:
TypeError: initializer for ctype 'struct THFloatTensor *' must be a cdata pointer, not Variable
loss_func() is called:
def forward(ctx, acts, labels, act_lens, label_lens, size_average=False, length_average=False): is_cuda = True if acts.is_cuda else False acts = acts.contiguous() loss_func = warp_ctc.lib.gpu_ctc if is_cuda else warp_ctc.lib.cpu_ctc grads = torch.zeros(acts.size()).type_as(acts) minibatch_size = acts.size(1) costs = torch.zeros(minibatch_size).cpu() loss_func(acts, grads, labels, label_lens, act_lens, minibatch_size, costs)
The implementation for
loss_func is generated using the create_extensions function.
Since as of 0.4 Tensors are instances of torch.autograd.Variable I don’t believe this type check makes much sense.
Any info on this issue?