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[Kernel] (2/N) Machete - Integrate into CompressedTensorsWNA16 and GPTQMarlin (#7701)

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Co-authored-by: mgoin <michael@neuralmagic.com>
Co-authored-by: Divakar Verma <137818590+divakar-amd@users.noreply.github.com>
Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com>
This commit is contained in:
Lucas Wilkinson
2024-09-23 13:46:26 -04:00
committed by GitHub
parent ee5f34b1c2
commit 86e9c8df29
27 changed files with 1005 additions and 246 deletions
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9
vllm/model_executor/layers/quantization/awq_marlin.py
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@@ -7,10 +7,11 @@ from vllm.logger import init_logger
from vllm.model_executor.layers.linear import LinearBase, LinearMethodBase
from vllm.model_executor.layers.quantization.base_config import (
QuantizationConfig)
from vllm.model_executor.layers.quantization.utils import replace_parameter
from vllm.model_executor.layers.quantization.utils.marlin_utils import (
apply_awq_marlin_linear, awq_to_marlin_zero_points, check_marlin_supported,
marlin_make_empty_g_idx, marlin_make_workspace, marlin_permute_scales,
replace_tensor, verify_marlin_supported, verify_marlin_supports_shape)
verify_marlin_supported, verify_marlin_supports_shape)
from vllm.model_executor.layers.vocab_parallel_embedding import ParallelLMHead
from vllm.model_executor.parameter import (GroupQuantScaleParameter,
PackedvLLMParameter)
@@ -231,7 +232,7 @@ class AWQMarlinLinearMethod(LinearMethodBase):
size_k=layer.input_size_per_partition,
size_n=layer.output_size_per_partition,
num_bits=self.quant_config.quant_type.size_bits)
replace_tensor(layer, "qweight", marlin_qweight)
replace_parameter(layer, "qweight", marlin_qweight)
# Permute scales from AWQ format to marlin format.
marlin_scales = marlin_permute_scales(
@@ -239,7 +240,7 @@ class AWQMarlinLinearMethod(LinearMethodBase):
size_k=layer.input_size_per_partition,
size_n=layer.output_size_per_partition,
group_size=self.quant_config.group_size)
replace_tensor(layer, "scales", marlin_scales)
replace_parameter(layer, "scales", marlin_scales)
# Permute zero-points from AWQ format to marlin format.
marlin_zp = awq_to_marlin_zero_points(
@@ -247,7 +248,7 @@ class AWQMarlinLinearMethod(LinearMethodBase):
size_k=layer.num_groups,
size_n=layer.output_size_per_partition,
num_bits=self.quant_config.quant_type.size_bits)
replace_tensor(layer, "qzeros", marlin_zp)
replace_parameter(layer, "qzeros", marlin_zp)
# Not-used
layer.g_idx = marlin_make_empty_g_idx(device)