nemo_gym.orchestration.api

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Module Contents

Classes

Data

ComputeConfig

ServiceConfig

API

class nemo_gym.orchestration.api.BaseComputeConfig()
class nemo_gym.orchestration.api.BaseModelServiceConfig()

Bases: BaseServiceConfig

Base for services that serve a model and can be wired as the policy model.

model
str
port
int = 8000
class nemo_gym.orchestration.api.BaseServiceConfig()

Bases: _StrictModel

container
str
env
dict[str, str] = {}
health_check
HealthCheckConfig | None = None
mounts
list[str] = []
placement
str | None = None
class nemo_gym.orchestration.api.BenchmarkRunConfig()

Bases: _StrictModel

prepare
dict[str, Any] = {}
run
dict[str, Any] = {}
class nemo_gym.orchestration.api.DriverConfig()

Bases: _StrictModel

benchmarks
dict[str, BenchmarkRunConfig]
container
str = 'python:3.12'
env
dict[str, str] = {}
gym_install
GymInstallConfig | None = None
mounts
list[str] = []
policy_model
str | None = None
class nemo_gym.orchestration.api.GymInstallConfig()

Bases: _StrictModel

ref
str
repo
str = 'https://github.com/NVIDIA-NeMo/gym'
class nemo_gym.orchestration.api.HealthCheckConfig()

Bases: _StrictModel

path
str = '/health'
port
int | None = None
timeout_seconds
int = 60
class nemo_gym.orchestration.api.JobConfig()

Bases: _StrictModel

output_path
str
class nemo_gym.orchestration.api.NodePool()

Bases: _StrictModel

extra_args
dict[str, str] = {}
gpus_per_node
int | None = None
nodes
int = 1
ntasks_per_node
int = 1
partition
str
class nemo_gym.orchestration.api.RayServiceConfig()

Bases: BaseServiceConfig

type
Literal['ray']
class nemo_gym.orchestration.api.SlurmComputeConfig()

Bases: BaseComputeConfig

account
str
extra_args
dict[str, str] = {}
hostname
str | None = None
node_pools
dict[str, NodePool] = {}
type
Literal['slurm']
walltime
str | None = None
class nemo_gym.orchestration.api.SubmitConfig()

Bases: _StrictModel

compute
dict[str, ComputeConfig]
driver
DriverConfig
job
JobConfig
services
dict[str, ServiceConfig]
class nemo_gym.orchestration.api.VllmServiceConfig()

Bases: BaseModelServiceConfig

pipeline_parallel_size
int = 1
tensor_parallel_size
int = 1
trust_remote_code
bool = False
type
Literal['vllm']
class nemo_gym.orchestration.api._StrictModel()

Bases: BaseModel

model_config
= ConfigDict(extra='forbid')
nemo_gym.orchestration.api.ComputeConfig = Annotated[Annotated[SlurmComputeConfig, Tag('slurm')], Discriminator('type')]
nemo_gym.orchestration.api.ServiceConfig = Annotated[Annotated[VllmServiceConfig, Tag('vllm')] | Annotated[RayServiceConfig...