Lines Matching full:optimize
322 opt_fn = torch._dynamo.optimize(counter)(fn)
333 opt_fn = torch._dynamo.optimize(counter)(fn)
443 optimized_f = torch._dynamo.optimize(counts, nopython=True)(f)
446 optimized_g = torch._dynamo.optimize(counts, nopython=True)(f)
476 optimized_f = torch._dynamo.optimize(counts, nopython=True)(f)
482 optimized_g = torch._dynamo.optimize(counts, nopython=True)(f)
524 optimized_f = torch._dynamo.optimize(counts, nopython=True)(f)
525 optimized_g = torch._dynamo.optimize(counts, nopython=True)(g)
526 optimized_h = torch._dynamo.optimize(counts, nopython=True)(h)
1025 optimized_mod = torch._dynamo.optimize(counts, nopython=True)(mod)
1052 opt_fn = torch._dynamo.optimize(counts)(fn)
1082 opt_fn = torch._dynamo.optimize(counts, nopython=True)(f)
1171 opt_fn = torch._dynamo.optimize(
1186 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
1309 opt_fn = torch._dynamo.optimize("eager")(fn)
1343 opt_fn = torch._dynamo.optimize("eager")(fn)
1459 opt_fn = torch._dynamo.optimize(cnts)(fn)
1485 opt_fn = torch._dynamo.optimize(cnts)(fn)
1503 opt_fn = torch._dynamo.optimize(cnts)(fn)
1519 opt_fn = torch._dynamo.optimize(cnts)(fn)
1534 opt_fn = torch._dynamo.optimize(cnts)(fn)
1557 opt_fn = torch._dynamo.optimize(cnts)(fn)
1558 opt_fn_ret = torch._dynamo.optimize(cnts)(opt_fn(v1, v2))
1571 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
1590 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
1620 opt_fn1 = torch._dynamo.optimize(cnts, nopython=True)(fn1)
1621 opt_fn2 = torch._dynamo.optimize(cnts, nopython=True)(fn2)
1622 opt_fn3 = torch._dynamo.optimize(cnts, nopython=True)(fn3)
1636 opt_fn1 = torch._dynamo.optimize(cnts)(fn1)
1649 opt_fn2 = torch._dynamo.optimize(cnts)(fn2)
1692 opt_fn = torch._dynamo.optimize("eager")(fn)
1735 opt_fn = torch._dynamo.optimize(cnts)(fn)
1749 opt_fn = torch._dynamo.optimize(cnts)(fn)
1762 opt_fn = torch._dynamo.optimize(cnts)(fn)
1779 opt_fn = torch._dynamo.optimize(cnts)(fn)
1794 opt_fn = torch._dynamo.optimize("eager")(fn)
1847 opt_fn = torch._dynamo.optimize(cnts)(fn)
1867 opt_fn = torch._dynamo.optimize(cnts)(fn)
1882 opt_fn = torch._dynamo.optimize(cnts)(fn)
1940 opt_fn = torch._dynamo.optimize("eager")(fn)
1961 opt_fn = torch._dynamo.optimize(cnts)(fn)
1982 opt_fn = torch._dynamo.optimize(cnts)(fn)
2004 opt_fn = torch._dynamo.optimize(cnts)(fn)
2032 opt_fn = torch._dynamo.optimize(cnts)(fn)
2054 opt_mod = torch._dynamo.optimize(cnts)(mod)
2079 opt_fn = torch._dynamo.optimize(cnts)(fn)
2088 optimized_fn = torch._dynamo.optimize(cnt)(fn)
2104 opt_fn = torch._dynamo.optimize(cnts)(fn)
2146 opt_fn = torch._dynamo.optimize(cnts)(fn)
2153 opt_fn = torch._dynamo.optimize(cnts)(fn)
2222 opt_fn = torch._dynamo.optimize(cnts)(fn)
2234 opt_fn = torch._dynamo.optimize(cnts, dynamic=True, nopython=True)(fn)
2247 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
2265 opt_fn = torch._dynamo.optimize(cnts)(fn)
2311 opt_fn = torch._dynamo.optimize(cnts)(fn)
2325 opt_fn = torch._dynamo.optimize(cnts)(fn)
2341 opt_fn = torch._dynamo.optimize(cnts)(fn)
2355 opt_fn = torch._dynamo.optimize(cnts)(fn)
2365 opt_fn = torch._dynamo.optimize(cnts)(fn)
2377 opt_fn = torch._dynamo.optimize(cnts, dynamic=True)(fn)
2399 opt_fn = torch._dynamo.optimize(cnts)(fn)
2414 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
2427 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
2459 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
2473 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
2503 fn = torch._dynamo.optimize(cnt)(fn)
2535 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(mandelbrot_numpy)
2592 opt_fn = torch._dynamo.optimize(cnts)(fn)
2609 opt_fn = torch._dynamo.optimize(cnts)(fn)
2622 opt_fn = torch._dynamo.optimize(cnts)(fn)
2634 opt_fn = torch._dynamo.optimize(cnts)(fn)
2645 opt_fn = torch._dynamo.optimize(cnts)(fn)
2656 opt_fn2 = torch._dynamo.optimize(cnts2)(fn2)
2669 compiled_fn = torch._dynamo.optimize(counter)(fn)
2682 compiled_fn = torch._dynamo.optimize(counter)(fn)
2695 opt_fn = torch._dynamo.optimize(cnts)(fn)
2710 opt_fn = torch._dynamo.optimize(cnts)(fn)
2744 opt_fn = torch._dynamo.optimize(cnts)(fn)
2779 opt_f = torch._dynamo.optimize(cnts)(func)
2828 opt_fn = torch._dynamo.optimize(cnts)(fn)
2845 opt_fn = torch._dynamo.optimize(cnts)(fn)
2865 opt_fn = torch._dynamo.optimize(cnts)(fn)
2885 opt_fn = torch._dynamo.optimize(cnts)(fn)
2912 opt_fn = torch._dynamo.optimize(cnts)(fn)
3037 opt_fn = torch._dynamo.optimize(cnts)(fn)
3055 opt_fn = torch._dynamo.optimize(cnts)(fn)
3084 opt_fn = torch._dynamo.optimize(cnts)(fn)
3110 opt_fn = torch._dynamo.optimize(cnts)(fn)
3138 opt_fn = torch._dynamo.optimize(cnts)(fn)
3158 opt_fn1 = torch._dynamo.optimize(cnts, nopython=True)(fn1)
3177 opt_fn2 = torch._dynamo.optimize(cnts, nopython=True)(fn2)
3197 opt_fn3 = torch._dynamo.optimize(cnts, nopython=True)(fn3)
3219 opt_fn4 = torch._dynamo.optimize(cnts, nopython=True)(fn4)
3259 opt_fn = torch._dynamo.optimize("eager")(fn)
3287 opt_fn = torch._dynamo.optimize("eager")(fn)
3448 @torch._dynamo.optimize(cnts, nopython=True)
3473 opt_fn = torch._dynamo.optimize(cnts)(indirect)
3501 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(indirect)
3525 opt_fn = torch._dynamo.optimize(cnts)(fn)
3569 opt_mod = torch._dynamo.optimize("eager")(mod)
3620 opt_fn = torch._dynamo.optimize("eager", nopython=False)(fn)
3640 optimized_mod = torch._dynamo.optimize(cnts1, nopython=True)(mod)
3658 @torch._dynamo.optimize(cnts2, nopython=True)
3662 @torch._dynamo.optimize(cnts3, nopython=True)
3674 @torch._dynamo.optimize(cnts, nopython=True)
3696 fn1 = torch._dynamo.optimize(cnts1, nopython=True)(fn)
3697 fn2 = torch._dynamo.optimize(cnts2, nopython=True)(fn1)
3699 # The first optimize in the nesting should be ignored
3713 fn1 = torch._dynamo.optimize(cnts1, nopython=True)(fn)
3714 fn2 = torch._dynamo.optimize(cnts2, nopython=True)(fn1)
3732 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
3743 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
3753 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
3764 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
3774 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
3785 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
3806 opt_fn = torch._dynamo.optimize(cnts, nopython=False)(fn)
3827 opt_f = torch._dynamo.optimize(cnts, nopython=True)(f)
3853 opt_fn = torch._dynamo.optimize("eager")(fn)
3866 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
3881 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
3905 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
3929 opt_getitem = torch._dynamo.optimize(cnts, nopython=True)(getitem)
3954 opt_fn = torch._dynamo.optimize(cnts)(fn)
3998 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
4025 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
4058 opt_fn = torch._dynamo.optimize("eager")(fn)
4076 opt_f1 = torch._dynamo.optimize(cnts)(f1)
4077 opt_f2 = torch._dynamo.optimize(cnts)(f2)
4103 opt_fn = torch._dynamo.optimize(cnts)(fn)
4133 opt_fn = torch._dynamo.optimize(cnts)(fn)
4246 opt_fn = torch._dynamo.optimize(nopython=True)(fn)
4262 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
4268 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
4290 opt_fn = torch._dynamo.optimize(cnts)(fn_no_breaks)
4296 opt_fn = torch._dynamo.optimize(cnts)(fn_has_breaks)
4339 opt_m1 = torch._dynamo.optimize(cnts, nopython=True)(m1)
4347 opt_m2 = torch._dynamo.optimize(cnts, nopython=True)(m2)
4366 opt_m = torch._dynamo.optimize(cnts, nopython=True)(m)
4378 opt_m = torch._dynamo.optimize(cnts, nopython=True)(m)
4396 opt_f2 = torch._dynamo.optimize(cnts)(f2)
4414 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
4420 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
4436 opt_f2 = torch._dynamo.optimize(cnts)(f2)
4452 opt_f2 = torch._dynamo.optimize(cnts)(f2)
4523 opt_f4 = torch._dynamo.optimize(cnts)(f4)
4538 opt_fn = torch._dynamo.optimize("eager")(fn)
4549 @torch._dynamo.optimize(cnts)
4579 @torch._dynamo.optimize(no_leak_backend)
4593 inner = torch._dynamo.optimize("eager")(inner)
4615 opt_fn = torch._dynamo.optimize(cnts)(fn)
4630 opt_fn = torch._dynamo.optimize(cnts)(fn)
4663 opt_f1 = torch._dynamo.optimize(cnts)(f1)
4664 opt_f2 = torch._dynamo.optimize(cnts)(f2)
4679 opt_fn = torch._dynamo.optimize(cnts)(fn)
4691 opt_fn = torch._dynamo.optimize(cnts)(fn)
4701 opt_fn = torch._dynamo.optimize("eager")(fn)
4721 opt_f = torch._dynamo.optimize(cnts)(f)
4735 y = torch._dynamo.optimize("eager", nopython=True)(model)(x)
4748 opt_model = torch._dynamo.optimize("eager", nopython=True)(model)
4764 opt_model = torch._dynamo.optimize("eager", nopython=True)(model)
4780 opt_loss = torch._dynamo.optimize("eager", nopython=True)(loss)
4797 opt_loss = torch._dynamo.optimize("eager", nopython=True)(loss)
4813 opt_loss = torch._dynamo.optimize("eager", nopython=True)(loss)
4836 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
4854 @torch._dynamo.optimize(my_compiler)
4895 @torch._dynamo.optimize("eager", nopython=True)
4913 @torch._dynamo.optimize("eager", nopython=True)
4986 opt_model_b = torch._dynamo.optimize("eager", nopython=True)(model_b)
4997 opt_model_b = torch._dynamo.optimize("eager", nopython=True)(model_b)
5013 opt_fn = torch._dynamo.optimize(cnts)(fn)
5032 opt_fn = torch._dynamo.optimize(cnts)(fn)
5047 opt_fn = torch._dynamo.optimize("eager")(fn)
5054 opt_out = torch._dynamo.optimize(backend=cnt)(foo)(*args)
5105 opt_out = torch._dynamo.optimize(backend=cnt)(foo)(*args)
5141 @torch._dynamo.optimize("eager", nopython=True)
5149 @torch._dynamo.optimize("eager", nopython=True)
5161 @torch._dynamo.optimize("eager", nopython=True)
5181 opt_fn = torch._dynamo.optimize("eager")(f)
5357 opt_m = torch._dynamo.optimize("eager", nopython=True)(module)
5383 opt_m = torch._dynamo.optimize("eager", nopython=True)(module)
5403 opt_fn = torch._dynamo.optimize("eager")(f)
5432 opt_fn = torch._dynamo.optimize("eager", nopython=True)(mod)
5454 opt_fn = torch._dynamo.optimize(cc)(f)
5569 @torch._dynamo.optimize("eager")
5578 @torch._dynamo.optimize("eager")
5621 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
5674 opt_mod = torch._dynamo.optimize("inductor")(module)
5694 @torch._dynamo.optimize("eager", nopython=True)
5706 @torch._dynamo.optimize("eager", nopython=True)
5728 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
5756 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
5776 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
5790 opt_fn = torch._dynamo.optimize("eager")(fn)
5867 optimized = torch._dynamo.optimize("eager")(f)
5882 optimized = torch._dynamo.optimize("eager")(f)
5901 optimized = torch._dynamo.optimize("eager")(f)
5913 opt_func = torch._dynamo.optimize("eager")(func)
5933 opt_model = torch._dynamo.optimize("eager", nopython=True)(model)
5941 opt_model = torch._dynamo.optimize("eager", nopython=True)(model)
6008 opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
6037 opt_fn = torch._dynamo.optimize("eager")(fn)
6101 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
6114 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
6131 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
6145 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
6166 opt_fn1 = torch._dynamo.optimize("eager", nopython=True)(fn1)
6173 opt_fn2 = torch._dynamo.optimize("eager", nopython=True)(fn2)
6186 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
6199 opt_fn = torch._dynamo.optimize(cnt)
6229 opt_f = torch._dynamo.optimize("eager")(f)
6245 opt_fn = torch._dynamo.optimize("eager")(fn)
6253 opt_fn = torch._dynamo.optimize("eager")(fn)
6272 opt_fn = torch._dynamo.optimize(
6311 opt_fn = torch._dynamo.optimize(
6346 opt_fn = torch._dynamo.optimize(
6376 opt_fn = torch._dynamo.optimize(
6420 opt_fn = torch._dynamo.optimize("eager", guard_export_fn=guard_export_print)(fn)
6466 opt_fn = torch._dynamo.optimize(cnt, nopython=True)(fn)
6496 opt_fn = torch._dynamo.optimize("eager")(fn)
6508 @torch._dynamo.optimize("eager")
6521 opt_fn = torch._dynamo.optimize("eager")(fn)
6534 optimized_model = torch._dynamo.optimize(backend="eager")(
6552 optimized_loaded_model = torch._dynamo.optimize("eager")(loaded_model)(*inputs)
6561 torch._dynamo.optimize("eager", nopython=True)(fn)(
6573 opt_fn = torch._dynamo.optimize(cnt)(fn)
6642 opt_fn = torch._dynamo.optimize("eager")(fn)
6668 opt_fn = torch._dynamo.optimize("eager")(fn)
6684 opt_fn = torch._dynamo.optimize("eager")(fn)
6810 opt_fn = torch._dynamo.optimize("eager")(fn)
6821 opt_fn = torch._dynamo.optimize("eager")(fn)
6832 opt_fn = torch._dynamo.optimize("eager")(f)
6861 opt_fn = torch._dynamo.optimize("eager")(fn)
6876 opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
6888 opt_fn = torch._dynamo.optimize("eager")(fn)
6909 opt_fn = torch._dynamo.optimize("eager")(fn)
6926 opt_fn = torch._dynamo.optimize("eager")(fn)
6949 opt_fn = torch._dynamo.optimize(counter)(fn)
6955 opt_fn = torch._dynamo.optimize(counter)(fn)
6974 self.assertEqual(torch._dynamo.optimize("eager")(fn)(), 3)
7133 torch._dynamo.optimize("eager")(my_dyn_fn)(y)
7147 torch._dynamo.optimize("eager")(my_dyn_fn)(y)
7157 torch._dynamo.optimize(counter)(my_dyn_fn)(y)
7160 torch._dynamo.optimize(counter)(my_dyn_fn)(z)
7172 torch._dynamo.optimize("eager")(my_dyn_fn)(y)
7175 torch._dynamo.optimize("eager")(my_dyn_fn)(y)
7189 torch._dynamo.optimize("eager")(my_dyn_fn)(y, y)
7192 torch._dynamo.optimize("eager")(my_dyn_fn)(y, y)
7208 torch._dynamo.optimize("eager")(my_dyn_fn)(y, y)
7214 torch._dynamo.optimize("eager")(my_dyn_fn)(y, y)
7229 torch._dynamo.optimize("eager")(my_dyn_fn)(y, y)
7241 torch._dynamo.optimize("eager")(my_dyn_fn)(y)
7252 torch._dynamo.optimize("eager")(my_dyn_fn)(y)
7288 torch._dynamo.optimize(counter)(my_dyn_fn)(x0)
7293 torch._dynamo.optimize(counter)(my_dyn_fn)(x)
7299 torch._dynamo.optimize(counter)(my_dyn_fn)(x1)
7309 torch._dynamo.optimize(counter)(my_dyn_fn)(x1)
7313 torch._dynamo.optimize(counter)(my_dyn_fn)(x0)
7321 torch._dynamo.optimize(counter)(my_dyn_fn)(x012)
7485 torch._dynamo.optimize("eager")(fn)(x, y, z)
7521 torch._dynamo.optimize("eager")(fn)(x, y, z)
7529 @torch._dynamo.optimize("eager")
7653 compile_out = torch._dynamo.optimize("eager")(func)(torch.ones(10, 10, 3))
7666 opt_fn = torch._dynamo.optimize(counter)(fn)
7886 opt_model = torch._dynamo.optimize("eager")(MyModule())
8054 opt = torch._dynamo.optimize("eager")(fn)
8066 torch._dynamo.optimize(counter, nopython=True)(fn)(xs)
8082 comp_out = torch._dynamo.optimize(counter, nopython=True)(fn)(xsl)
8100 comp_out = torch._dynamo.optimize(counter, nopython=True)(fn)(xsl)
8122 comp_out = torch._dynamo.optimize(counter, nopython=True)(fn)(xsl)
8162 comp_out = torch._dynamo.optimize(counter, nopython=True)(fn)(xsl)
8211 torch._dynamo.optimize(counter, nopython=True)(checkpoint_fn)(xs)
8230 comp_out = torch._dynamo.optimize(counter, nopython=True)(fn)(xsb)
8313 foo = torch._dynamo.optimize(counter, nopython=True)(foo)
8333 foo = torch._dynamo.optimize(counter, nopython=True)(foo)
8350 foo = torch._dynamo.optimize(counter, nopython=True)(foo)
8365 foo = torch._dynamo.optimize(counter, nopython=True)(foo)
8376 foo = torch._dynamo.optimize(counter, nopython=False)(foo)
8392 foo = torch._dynamo.optimize(counter)(foo)
8406 foo = torch._dynamo.optimize(counter)(foo)
8541 compiled = torch._dynamo.optimize(counter, nopython=True)(fn)(x)
8555 compiled = torch._dynamo.optimize(counter, nopython=True)(fn)(x)
8569 compiled = torch._dynamo.optimize(counter, nopython=True)(fn)(x)
8584 compiled = torch._dynamo.optimize(counter, nopython=True)(fn)(x)
8600 compiled_fn = torch._dynamo.optimize(counter, nopython=True)(fn)
8627 compiled = torch._dynamo.optimize(counter)(fn)(x)
8651 compiled = torch._dynamo.optimize(counter)(indirect)(x)
8671 compiled = torch._dynamo.optimize(counter)(fn)(d2)
8691 compiled = torch._dynamo.optimize(counter)(fn)(d2, a, b)
8707 compiled = torch._dynamo.optimize(counter)(yield_from_fn)(t_list, 2)
8747 compiled = torch._dynamo.optimize(counter)(populate_and_multiply_sequence)(
8777 compiled = torch._dynamo.optimize(counter)(yield_from_iter_fn)(seq)
8796 compiled_fn = torch._dynamo.optimize(counter)(main_generator)
8839 opt_func = torch._dynamo.optimize("eager", nopython=True)(fn)
8869 opt_func = torch._dynamo.optimize("eager", nopython=True)(fn)
8890 opt_func = torch._dynamo.optimize("eager", nopython=True)(fn)
8907 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
8929 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
8952 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
8975 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
9004 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
9023 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
9042 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
9062 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
9087 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
9136 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
9164 compiled_fn = torch._dynamo.optimize(counter)(fn)
9179 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
9194 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
9209 compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
10060 self.assertEqual(torch._dynamo.optimize("eager")(fn)().shape, (3, 5))
10485 opt_fn = torch._dynamo.optimize("eager")(fn)