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Does the prednet accept batches during train/test?
The input is given as-
input_sequence = Variable(torch.rand(T, 1, 1, 4 * 2 ** L, 6 * 2 ** L))
I assumed (time-step, batch size, channels, length, breadth) is the input format. Am I wrong?
The text was updated successfully, but these errors were encountered:
Both MatchNet and TempoNet expect one element at the time.
MatchNet
TempoNet
for t in range(0, min(args.big_t, x.size(0)) - 1): ce_loss, mse_loss, state, x_hat_data = compute_loss(x[t], x[t + 1], y[t], state)
def compute_loss(x_, next_x, y_, state_): (x_hat, state_), (_, idx) = model(V(x_), state_) ... return ce_loss_, mse_loss_, state_, x_hat.data
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Does the prednet accept batches during train/test?
The input is given as-
input_sequence = Variable(torch.rand(T, 1, 1, 4 * 2 ** L, 6 * 2 ** L))
I assumed (time-step, batch size, channels, length, breadth) is the input format. Am I wrong?
The text was updated successfully, but these errors were encountered: