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# Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from typing import Optional
from deepspeed.pydantic_v1 import Field
from deepspeed.runtime.config_utils import DeepSpeedConfigModel
from .ragged import DSStateManagerConfig
class DeepSpeedTPConfig(DeepSpeedConfigModel):
""" Configure tensor parallelism settings """
tp_size: int = 1
""" Number of devices to split the model across using tensor parallelism. """
class QuantizationConfig(DeepSpeedConfigModel):
""" Configure tensor parallelism settings """
quantization_mode: Optional[str] = None
""" The quantization mode in string format. The supported modes are as follows:
- 'wf6af16', weight-only quantization with FP6 weight and FP16 activation.
"""
# TODO: may reuse the constants in deepspeed/compression/constants.py
class RaggedInferenceEngineConfig(DeepSpeedConfigModel):
""" Sets parameters for DeepSpeed Inference Engine. """
tensor_parallel: DeepSpeedTPConfig = Field({}, alias="tp")
"""
Configuration for tensor parallelism used to split the model across several
GPUs. Expects a dictionary containing values for :any:`DeepSpeedTPConfig`.
"""
state_manager: DSStateManagerConfig = Field({}, alias="manager")
"""
Configuration for managing persistent state
"""
quantization: QuantizationConfig = {}
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