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[Misc] Add per channel support for static activation quantization; update w8a8 schemes to share base classes (#5650)

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This commit is contained in:
Dipika Sikka
2024-06-19 18:06:44 -04:00
committed by GitHub
parent e83db9e7e3
commit 4a30d7e3cc
5 changed files with 121 additions and 136 deletions
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14
tests/quantization/test_compressed_tensors.py
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@@ -13,8 +13,12 @@ from vllm.model_executor.layers.quantization.compressed_tensors.compressed_tenso
CompressedTensorsW8A8StaticTensor)
def test_compressed_tensors_w8a8_static_setup(vllm_runner):
model_path = "nm-testing/tinyllama-oneshot-w8w8-test-static-shape-change"
@pytest.mark.parametrize("model_args", [
("nm-testing/tinyllama-oneshot-w8w8-test-static-shape-change", "tensor"),
("nm-testing/tinyllama-oneshot-w8-channel-a8-tensor", "channel"),
])
def test_compressed_tensors_w8a8_static_setup(vllm_runner, model_args):
model_path, strategy = model_args
with vllm_runner(model_path, enforce_eager=True) as llm:
model = llm.model.llm_engine.model_executor.driver_worker.model_runner.model # noqa: E501
layer = model.model.layers[0]
@@ -33,12 +37,14 @@ def test_compressed_tensors_w8a8_static_setup(vllm_runner):
assert isinstance(qkv_proj.scheme, CompressedTensorsW8A8StaticTensor)
assert qkv_proj.scheme.strategy == strategy
assert qkv_proj.weight.dtype is torch.int8
assert o_proj.weight.dtype is torch.int8
assert gate_up_proj.weight.dtype is torch.int8
assert qkv_proj.weight_scale.shard_splitter is not None
assert qkv_proj.weight_scale.logical_widths is not None
if qkv_proj.scheme.strategy == "tensor":
assert qkv_proj.weight_scale.shard_splitter is not None
assert qkv_proj.weight_scale.logical_widths is not None
assert qkv_proj.input_scale.dtype is torch.float32