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test_jit_disabled.py
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test_jit_disabled.py
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# Owner(s): ["oncall: jit"]
import sys
import os
import contextlib
import subprocess
from torch.testing._internal.common_utils import TestCase, run_tests, TemporaryFileName
@contextlib.contextmanager
def _jit_disabled():
cur_env = os.environ.get("PYTORCH_JIT", "1")
os.environ["PYTORCH_JIT"] = "0"
try:
yield
finally:
os.environ["PYTORCH_JIT"] = cur_env
class TestJitDisabled(TestCase):
"""
These tests are separate from the rest of the JIT tests because we need
run a new subprocess and `import torch` with the correct environment
variables set.
"""
def compare_enabled_disabled(self, src):
"""
Runs the script in `src` with PYTORCH_JIT enabled and disabled and
compares their stdout for equality.
"""
# Write `src` out to a temporary so our source inspection logic works
# correctly.
with TemporaryFileName() as fname:
with open(fname, 'w') as f:
f.write(src)
with _jit_disabled():
out_disabled = subprocess.check_output([
sys.executable,
fname])
out_enabled = subprocess.check_output([
sys.executable,
fname])
self.assertEqual(out_disabled, out_enabled)
def test_attribute(self):
_program_string = """
import torch
class Foo(torch.jit.ScriptModule):
def __init__(self, x):
super().__init__()
self.x = torch.jit.Attribute(x, torch.Tensor)
def forward(self, input):
return input
s = Foo(torch.ones(2, 3))
print(s.x)
"""
self.compare_enabled_disabled(_program_string)
def test_script_module_construction(self):
_program_string = """
import torch
class AModule(torch.jit.ScriptModule):
@torch.jit.script_method
def forward(self, input):
pass
AModule()
print("Didn't throw exception")
"""
self.compare_enabled_disabled(_program_string)
def test_recursive_script(self):
_program_string = """
import torch
class AModule(torch.nn.Module):
def forward(self, input):
pass
sm = torch.jit.script(AModule())
print("Didn't throw exception")
"""
self.compare_enabled_disabled(_program_string)
if __name__ == '__main__':
run_tests()