pytorch

45bfa6a5 - Fix missing newline in compiled from source range highlihgt (#25802)

Fix missing newline in compiled from source range highlihgt (#25802) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/25802 Test script ``` import torch def foo(x, y): x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y return x scripted = torch.jit.script(foo) scripted.save('foo.zip') loaded = torch.jit.load('foo.zip') loaded(torch.rand(3, 4), torch.rand(4, 5)) ``` Before this change ``` RuntimeError: The size of tensor a (4) must match the size of tensor b (5) at non-singleton dimension 1 The above operation failed in interpreter, with the following stack trace: at code/__torch__.py:7:9 op_version_set = 1 class PlaceholderModule(Module): __parameters__ = [] def forward(self: __torch__.PlaceholderModule, x: Tensor, y: Tensor) -> Tensor: x0 = torch.add(x, y, alpha=1) ~~~~~~~~~ <--- HERE x1 = torch.add(x0, y, alpha=1) x2 = torch.add(x1, y, alpha=1) x3 = torch.add(x2, y, alpha=1) x4 = torch.add(x3, y, alpha=1) x5 = torch.add(x4, y, alpha=1) x6 = torch.add(x5, y, alpha=1) x7 = torch.add(x6, y, alpha=1) x8 = torch.add(x7, y, alpha=1) x9 = torch.add(x8, y, alpha=1)Compiled from code at /home/jamesreed/print_test.py:5:8 def foo(x, y): x = x + y ~~~~~ <--- HERE x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y ``` After this change ``` RuntimeError: The size of tensor a (4) must match the size of tensor b (5) at non-singleton dimension 1 The above operation failed in interpreter, with the following stack trace: at code/__torch__.py:7:9 op_version_set = 1 class PlaceholderModule(Module): __parameters__ = [] def forward(self: __torch__.PlaceholderModule, x: Tensor, y: Tensor) -> Tensor: x0 = torch.add(x, y, alpha=1) ~~~~~~~~~ <--- HERE x1 = torch.add(x0, y, alpha=1) x2 = torch.add(x1, y, alpha=1) x3 = torch.add(x2, y, alpha=1) x4 = torch.add(x3, y, alpha=1) x5 = torch.add(x4, y, alpha=1) x6 = torch.add(x5, y, alpha=1) x7 = torch.add(x6, y, alpha=1) x8 = torch.add(x7, y, alpha=1) x9 = torch.add(x8, y, alpha=1) Compiled from code at /home/jamesreed/print_test.py:5:8 def foo(x, y): x = x + y ~~~~~ <--- HERE x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y x = x + y ``` Test Plan: Imported from OSS Differential Revision: D17250599 Pulled By: jamesr66a fbshipit-source-id: 56266dcbf2c2287dc8ced7b9463ed42ef5f1167c