Created
November 16, 2023 06:49
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from torch.nested._internal.nested_tensor import jagged_from_list | |
a = torch.randn(2, 7, 256, requires_grad=True, dtype=torch.float32) | |
b = torch.randn(3, 7, 256, requires_grad=True, dtype=torch.float32) | |
c = torch.randn(4, 7, 256, requires_grad=True, dtype=torch.float32) | |
d = torch.randn(5, 7, 256, requires_grad=True, dtype=torch.float32) | |
nt1 = jagged_from_list([a, b, c, d], None)[0] | |
nt2 = jagged_from_list([a, b, c, d], None)[0] | |
nt1_view = nt1.select(2, 1) | |
nt2_view = nt2.select(2, 1) | |
def fn(x, y): | |
# guard on the stride | |
if x.stride()[0] == y.stride()[0]: | |
pass | |
return x.clone() | |
fn_compiled = torch.compile(fn, backend="aot_eager") | |
out = fn_compiled(nt1_view, nt2_view) |
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