Source code for olive.systems.common

# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# --------------------------------------------------------------------------
from pathlib import Path
from typing import List, Optional, Union

from olive.common.config_utils import CaseInsensitiveEnum, ConfigBase
from olive.common.pydantic_v1 import Field, validator
from olive.hardware.accelerator import AcceleratorSpec, Device


[docs] class SystemType(CaseInsensitiveEnum): Docker = "Docker" Local = "LocalSystem" AzureML = "AzureML" PythonEnvironment = "PythonEnvironment" IsolatedORT = "IsolatedORT"
[docs] class AcceleratorConfig(ConfigBase): device: Union[str, Device] = Field(None, description="Device to use for the accelerator") execution_providers: List[str] = Field( None, description="Execution providers for the accelerator. Each must end with ExecutionProvider" ) memory: Union[int, str] = Field( None, description="Memory size of accelerator in bytes. Can also be provided in string format like 1GB." ) @validator("execution_providers", always=True) def validate_device_and_execution_providers(cls, v, values): if not v and values.get("device") is None: # checking for not v since v could be an empty list raise ValueError("Either device or execution_providers must be provided") return v
[docs] @validator("execution_providers", pre=True, each_item=True) def validate_ep_suffix(cls, v): if not v.endswith("ExecutionProvider"): raise ValueError(f"Execution provider {v} should end with ExecutionProvider") return v
[docs] @validator("memory", pre=True) def validate_memory(cls, v): return AcceleratorSpec.str_to_int_memory(v)
[docs] class AzureMLDockerConfig(ConfigBase): base_image: Optional[str] = None dockerfile: Optional[str] = None build_context_path: Optional[Union[Path, str]] = None conda_file_path: Optional[Union[Path, str]] = None name: Optional[str] = None version: Optional[str] = None @validator("dockerfile", "build_context_path", always=True) def _validate_one_of_dockerfile_or_base_image(cls, v, values): if v is None and values.get("base_image") is None: raise ValueError("One of build_context_path/dockerfile or base_image must be provided") return v @validator("conda_file_path") def _get_abspath(cls, v): if v: return str(Path(v).resolve()) else: return None
class AzureMLEnvironmentConfig(ConfigBase): name: str version: Optional[str] = None label: Optional[str] = None
[docs] class LocalDockerConfig(ConfigBase): image_name: str dockerfile: Optional[str] = None build_context_path: Optional[Union[Path, str]] = None build_args: Optional[dict] = None run_params: Optional[dict] = None @validator("build_context_path") def _get_abspath(cls, v): return str(Path(v).resolve()) if v else None