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RuntimeError Traceback (most recent call last) in <cell line: 25>() 24 #test forward pass 25 with torch.no_grad(): ---> 26 output = model(x) 27 print(f"Output shape: {output.shape}") # expected (batch_size, seq_Len) 28
4 frames in apply_rotary_pos_emb(x, sin, cos, scale) 33 sin, cos = map(lambda t: duplicate_interleave(t * scale), (sin, cos)) 34 # einsum notation for lambda t: repeat(t[offset:x.shape[1]+offset,:], "n d -> () n () (d j)", j=2) ---> 35 return (x * cos) + (rotate_every_two(x) * sin) 36 37
RuntimeError: The size of tensor a (512) must match the size of tensor b (64) at non-singleton dimension 2
The text was updated successfully, but these errors were encountered:
@SowreshMS Hey please excuse me for this, i was experimenting, it should work now.
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@SowreshMS Hey please excuse me, it works now try again!
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RuntimeError Traceback (most recent call last)
in <cell line: 25>()
24 #test forward pass
25 with torch.no_grad():
---> 26 output = model(x)
27 print(f"Output shape: {output.shape}") # expected (batch_size, seq_Len)
28
4 frames
in apply_rotary_pos_emb(x, sin, cos, scale)
33 sin, cos = map(lambda t: duplicate_interleave(t * scale), (sin, cos))
34 # einsum notation for lambda t: repeat(t[offset:x.shape[1]+offset,:], "n d -> () n () (d j)", j=2)
---> 35 return (x * cos) + (rotate_every_two(x) * sin)
36
37
RuntimeError: The size of tensor a (512) must match the size of tensor b (64) at non-singleton dimension 2
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The text was updated successfully, but these errors were encountered: