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fixing CI
Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags:
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3 files changed

+8
-7
lines changed

3 files changed

+8
-7
lines changed

test/integration/test_integration.py

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -2084,6 +2084,7 @@ def test_get_model_size_autoquant(self, device, dtype):
20842084
)
20852085
mod(example_input)
20862086
size2 = torchao.utils.get_model_size_in_bytes(mod)
2087+
print(size2, size)
20872088
self.assertTrue(size2 < size)
20882089

20892090
@parameterized.expand(
@@ -2108,7 +2109,7 @@ def test_get_model_size_aqt(self, api, test_device, test_dtype):
21082109
size = torchao.utils.get_model_size_in_bytes(model)
21092110
api(model)
21102111
size2 = torchao.utils.get_model_size_in_bytes(model)
2111-
self.assertTrue(size2 < size)
2112+
self.assertGreaterEqual(size, size2)
21122113

21132114

21142115
class TestBenchmarkModel(unittest.TestCase):

test/quantization/test_moe_quant.py

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -25,7 +25,7 @@
2525
quantize_,
2626
)
2727
from torchao.quantization.utils import compute_error
28-
from torchao.utils import TORCH_VERSION_AT_LEAST_2_5, is_sm_at_least_90
28+
from torchao.utils import TORCH_VERSION_AT_LEAST_2_5, is_sm_at_least_90, TORCH_VERSION_AT_LEAST_2_6
2929

3030

3131
class TestMoEQuantCompile(unittest.TestCase):
@@ -169,8 +169,8 @@ def test_int8wo_fake_dim(self, name, num_tokens, fullgraph):
169169
def test_int8wo_base(self, name, num_tokens, fullgraph):
170170
if not torch.cuda.is_available():
171171
self.skipTest("Need CUDA available")
172-
if not TORCH_VERSION_AT_LEAST_2_5:
173-
self.skipTest("Test only enabled for 2.5+")
172+
if not TORCH_VERSION_AT_LEAST_2_6:
173+
self.skipTest("Test only enabled for 2.6+")
174174

175175
config = Int8WeightOnlyConfig()
176176
tensor_impl_class = PlainAQTTensorImpl
@@ -189,8 +189,8 @@ def test_int8wo_base(self, name, num_tokens, fullgraph):
189189
]
190190
)
191191
def test_int8wo_base_cpu(self, name, num_tokens, fullgraph):
192-
if not TORCH_VERSION_AT_LEAST_2_5:
193-
self.skipTest("Test only enabled for 2.5+")
192+
if not TORCH_VERSION_AT_LEAST_2_6:
193+
self.skipTest("Test only enabled for 2.6+")
194194

195195
config = Int8WeightOnlyConfig()
196196
tensor_impl_class = PlainAQTTensorImpl

torchao/_models/mixtral-moe/generate.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -299,7 +299,7 @@ def main(
299299
if config is not None:
300300
quantize_(model, config, filter_fn=cond_ffn_filter, device=device)
301301
print(
302-
f"Time to apply quantization to model: {time.time() - t0:.02f} seconds"
302+
f"Time to apply quantization with config {config} to model: {time.time() - t0:.02f} seconds"
303303
)
304304

305305
model.to(device=device)

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