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Ashwin Bharambe 2024-06-25 15:47:57 -07:00 committed by Ashwin Bharambe
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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.

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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import argparse
import os
import textwrap
from pathlib import Path
import pkg_resources
from llama_toolchain.cli.subcommand import Subcommand
from llama_toolchain.utils import DEFAULT_DUMP_DIR
CONFIGS_BASE_DIR = os.path.join(DEFAULT_DUMP_DIR, "configs")
class InferenceConfigure(Subcommand):
"""Llama cli for configuring llama toolchain configs"""
def __init__(self, subparsers: argparse._SubParsersAction):
super().__init__()
self.parser = subparsers.add_parser(
"configure",
prog="llama inference configure",
description="Configure llama toolchain inference configs",
epilog=textwrap.dedent(
"""
Example:
llama inference configure
"""
),
formatter_class=argparse.RawTextHelpFormatter,
)
self._add_arguments()
self.parser.set_defaults(func=self._run_inference_configure_cmd)
def _add_arguments(self):
pass
def read_user_inputs(self):
checkpoint_dir = input(
"Enter the checkpoint directory for the model (e.g., ~/.llama/checkpoints/Meta-Llama-3-8B/): "
)
model_parallel_size = input(
"Enter model parallel size (e.g., 1 for 8B / 8 for 70B and 405B): "
)
assert model_parallel_size.isdigit() and int(model_parallel_size) in {
1,
8,
}, "model parallel size must be 1 or 8"
return checkpoint_dir, model_parallel_size
def write_output_yaml(self, checkpoint_dir, model_parallel_size, yaml_output_path):
default_conf_path = pkg_resources.resource_filename(
"llama_toolchain", "data/default_inference_config.yaml"
)
with open(default_conf_path, "r") as f:
yaml_content = f.read()
yaml_content = yaml_content.format(
checkpoint_dir=checkpoint_dir,
model_parallel_size=model_parallel_size,
)
with open(yaml_output_path, "w") as yaml_file:
yaml_file.write(yaml_content.strip())
print(f"YAML configuration has been written to {yaml_output_path}")
def _run_inference_configure_cmd(self, args: argparse.Namespace) -> None:
checkpoint_dir, model_parallel_size = self.read_user_inputs()
checkpoint_dir = os.path.expanduser(checkpoint_dir)
assert (
Path(checkpoint_dir).exists() and Path(checkpoint_dir).is_dir()
), f"{checkpoint_dir} does not exist or it not a directory"
os.makedirs(CONFIGS_BASE_DIR, exist_ok=True)
yaml_output_path = Path(CONFIGS_BASE_DIR) / "inference.yaml"
self.write_output_yaml(
checkpoint_dir,
model_parallel_size,
yaml_output_path,
)

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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import argparse
import textwrap
from llama_toolchain.cli.inference.configure import InferenceConfigure
from llama_toolchain.cli.inference.start import InferenceStart
from llama_toolchain.cli.subcommand import Subcommand
class InferenceParser(Subcommand):
"""Llama cli for inference apis"""
def __init__(self, subparsers: argparse._SubParsersAction):
super().__init__()
self.parser = subparsers.add_parser(
"inference",
prog="llama inference",
description="Run inference on a llama model",
epilog=textwrap.dedent(
"""
Example:
llama inference start <options>
"""
),
)
subparsers = self.parser.add_subparsers(title="inference_subcommands")
# Add sub-commandsa
InferenceStart.create(subparsers)
InferenceConfigure.create(subparsers)

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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import argparse
import textwrap
from llama_toolchain.cli.subcommand import Subcommand
from llama_toolchain.inference.server import main as inference_server_init
class InferenceStart(Subcommand):
"""Llama Inference cli for starting inference server"""
def __init__(self, subparsers: argparse._SubParsersAction):
super().__init__()
self.parser = subparsers.add_parser(
"start",
prog="llama inference start",
description="Start an inference server",
epilog=textwrap.dedent(
"""
Example:
llama inference start <options>
"""
),
formatter_class=argparse.RawTextHelpFormatter,
)
self._add_arguments()
self.parser.set_defaults(func=self._run_inference_start_cmd)
def _add_arguments(self):
self.parser.add_argument(
"--port",
type=int,
help="Port to run the server on. Defaults to 5000",
default=5000,
)
self.parser.add_argument(
"--disable-ipv6",
action="store_true",
help="Disable IPv6 support",
default=False,
)
self.parser.add_argument(
"--config", type=str, help="Path to config file", default="inference"
)
def _run_inference_start_cmd(self, args: argparse.Namespace) -> None:
inference_server_init(
config_path=args.config,
port=args.port,
disable_ipv6=args.disable_ipv6,
)