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Re-enable dequant save load test #651

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Merged
merged 1 commit into from
Aug 10, 2024
Merged

Re-enable dequant save load test #651

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5 changes: 2 additions & 3 deletions test/integration/test_integration.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1022,7 +1022,6 @@ def forward(self, x):

@parameterized.expand(COMMON_DEVICE_DTYPE)
@unittest.skipIf(is_fbcode(), "'PlainAQTLayout' object has no attribute 'int_data'")
@unittest.skipIf(TORCH_VERSION_AFTER_2_5, "Can't save local lambda function for tensor subclass")
@torch.no_grad()
def test_save_load_dqtensors(self, device, dtype):
if device == "cpu":
Expand Down Expand Up @@ -1226,7 +1225,7 @@ def test_autoquant_compile(self, device, dtype, m1, m2, k, n):
self.skipTest(f"bfloat16 requires sm80+")
if m1 == 1 or m2 == 1:
self.skipTest(f"Shape {(m1, m2, k, n)} requires sm80+")
# This test fails on v0.4.0 and torch 2.4, so skipping for now.
# This test fails on v0.4.0 and torch 2.4, so skipping for now.
if m1 == 1 or m2 == 1 and not TORCH_VERSION_AFTER_2_5:
self.skipTest(f"Shape {(m1, m2, k, n)} requires torch version > 2.4")
model = torch.nn.Sequential(
Expand Down Expand Up @@ -1299,7 +1298,7 @@ def test_autoquant_kwargs(self, device, dtype, m1, m2, k, n):
self.skipTest(f"bfloat16 requires sm80+")
if m1 == 1 or m2 == 1:
self.skipTest(f"Shape {(m1, m2, k, n)} requires sm80+")
# This test fails on v0.4.0 and torch 2.4, so skipping for now.
# This test fails on v0.4.0 and torch 2.4, so skipping for now.
if m1 == 1 or m2 == 1 and not TORCH_VERSION_AFTER_2_5:
self.skipTest(f"Shape {(m1, m2, k, n)} requires torch version > 2.4")

Expand Down