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Add int8 dynamic activation + int8 weight only test to TensorParallel #1657

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Merged
merged 4 commits into from
Feb 4, 2025
Merged

Add int8 dynamic activation + int8 weight only test to TensorParallel #1657

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b370c7c
Add int8 and fpx test to TensorParallel
jainapurva Feb 3, 2025
12e2a7c
Lint fixes
jainapurva Feb 3, 2025
30dff4f
Remove fpx
jainapurva Feb 4, 2025
8c0edb0
Merge remote-tracking branch 'origin/main' into test_tp
jainapurva Feb 4, 2025
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13 changes: 13 additions & 0 deletions test/dtypes/test_affine_quantized_tensor_parallel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@
float8_dynamic_activation_float8_weight,
float8_weight_only,
int4_weight_only,
int8_dynamic_activation_int8_weight,
int8_weight_only,
)
from torchao.quantization.observer import PerRow, PerTensor
Expand Down Expand Up @@ -166,9 +167,21 @@ def test_tp_gemlite(self, dtype):
return self._test_tp(dtype)


class TestInt8dqAffineQuantizedTensorParallel(TestAffineQuantizedTensorParallel):
QUANT_METHOD_FN = staticmethod(int8_dynamic_activation_int8_weight)
COMMON_DTYPES = [torch.bfloat16]

@common_utils.parametrize("dtype", COMMON_DTYPES)
@with_comms
@unittest.skipIf(not torch.cuda.is_available(), "Need CUDA available")
def test_tp(self, dtype):
return self._test_tp(dtype)


common_utils.instantiate_parametrized_tests(TestInt8woAffineQuantizedTensorParallel)
common_utils.instantiate_parametrized_tests(TestInt4woAffineQuantizedTensorParallel)
common_utils.instantiate_parametrized_tests(TestGemliteLayoutTensorParallel)
common_utils.instantiate_parametrized_tests(TestInt8dqAffineQuantizedTensorParallel)

# Run only on H100
if torch.cuda.is_available() and torch.cuda.get_device_capability() >= (9, 0):
Expand Down
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