Unverified Commit 32aa2059 authored by Rafael Vasquez's avatar Rafael Vasquez Committed by GitHub
Browse files

[Docs] Convert rST to MyST (Markdown) (#11145)


Signed-off-by: default avatarRafael Vasquez <rafvasq21@gmail.com>
parent 94d545a1
......@@ -13,7 +13,7 @@ The global :class:`~InputRegistry` which is used by :class:`~vllm.LLMEngine`
to dispatch data processing according to the target model.
See also:
:ref:`input_processing_pipeline`
:ref:`input-processing-pipeline`
"""
__all__ = [
......
......@@ -314,7 +314,7 @@ class InputRegistry:
The model is identified by ``model_config``.
See also:
:ref:`enabling_multimodal_inputs`
:ref:`enabling-multimodal-inputs`
Note:
This should be called after
......@@ -391,7 +391,7 @@ class InputRegistry:
happens before :meth:`~vllm.multimodal.MultiModalRegistry.map_input`.
See also:
:ref:`input_processing_pipeline`
:ref:`input-processing-pipeline`
"""
def wrapper(model_cls: N) -> N:
......@@ -435,7 +435,7 @@ class InputRegistry:
The model is identified by ``model_config``.
See also:
:ref:`input_processing_pipeline`
:ref:`input-processing-pipeline`
"""
# Avoid circular import
from vllm.model_executor.model_loader import get_model_architecture
......
......@@ -11,7 +11,7 @@ The global :class:`~MultiModalRegistry` is used by model runners to
dispatch data processing according to its modality and the target model.
See also:
:ref:`input_processing_pipeline`
:ref:`input-processing-pipeline`
"""
__all__ = [
......
......@@ -50,7 +50,7 @@ class MultiModalPlugin(ABC):
(i.e., the modality of the data).
See also:
:ref:`adding_multimodal_plugin`
:ref:`adding-multimodal-plugin`
"""
def __init__(self) -> None:
......@@ -94,8 +94,8 @@ class MultiModalPlugin(ABC):
If `None` is provided, then the default input mapper is used instead.
See also:
- :ref:`input_processing_pipeline`
- :ref:`enabling_multimodal_inputs`
- :ref:`input-processing-pipeline`
- :ref:`enabling-multimodal-inputs`
"""
def wrapper(model_cls: N) -> N:
......@@ -130,8 +130,8 @@ class MultiModalPlugin(ABC):
TypeError: If the data type is not supported.
See also:
- :ref:`input_processing_pipeline`
- :ref:`enabling_multimodal_inputs`
- :ref:`input-processing-pipeline`
- :ref:`enabling-multimodal-inputs`
"""
# Avoid circular import
......@@ -190,7 +190,7 @@ class MultiModalPlugin(ABC):
If `None` is provided, then the default calculation is used instead.
See also:
:ref:`enabling_multimodal_inputs`
:ref:`enabling-multimodal-inputs`
"""
def wrapper(model_cls: N) -> N:
......@@ -222,7 +222,7 @@ class MultiModalPlugin(ABC):
The model is identified by ``model_config``.
See also:
:ref:`enabling_multimodal_inputs`
:ref:`enabling-multimodal-inputs`
"""
# Avoid circular import
from vllm.model_executor.model_loader import get_model_architecture
......
......@@ -75,7 +75,7 @@ Note:
This dictionary also accepts modality keys defined outside
:class:`MultiModalDataBuiltins` as long as a customized plugin
is registered through the :class:`~vllm.multimodal.MULTIMODAL_REGISTRY`.
Read more on that :ref:`here <adding_multimodal_plugin>`.
Read more on that :ref:`here <adding-multimodal-plugin>`.
"""
......
......@@ -76,7 +76,7 @@ class MultiModalRegistry:
Register a multi-modal plugin so it can be recognized by vLLM.
See also:
:ref:`adding_multimodal_plugin`
:ref:`adding-multimodal-plugin`
"""
data_type_key = plugin.get_data_key()
......@@ -311,8 +311,8 @@ class MultiModalRegistry:
invoked to transform the data into a dictionary of model inputs.
See also:
- :ref:`input_processing_pipeline`
- :ref:`enabling_multimodal_inputs`
- :ref:`input-processing-pipeline`
- :ref:`enabling-multimodal-inputs`
"""
def wrapper(model_cls: N) -> N:
......
......@@ -50,7 +50,7 @@ class CpuPlatform(Platform):
import vllm.envs as envs
from vllm.utils import GiB_bytes
model_config = vllm_config.model_config
# Reminder: Please update docs/source/usage/compatibility_matrix.rst
# Reminder: Please update docs/source/usage/compatibility_matrix.md
# If the feature combo become valid
if not model_config.enforce_eager:
logger.warning(
......
......@@ -165,7 +165,7 @@ def main():
required=False,
help="Read CLI options from a config file."
"Must be a YAML with the following options:"
"https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html#command-line-arguments-for-the-server"
"https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html#cli-reference"
)
serve_parser = make_arg_parser(serve_parser)
serve_parser.set_defaults(dispatch_function=serve)
......
......@@ -108,7 +108,7 @@ def create_spec_worker(*args, **kwargs) -> "SpecDecodeWorker":
return spec_decode_worker
# Reminder: Please update docs/source/usage/compatibility_matrix.rst
# Reminder: Please update docs/source/usage/compatibility_matrix.md
# If the feature combo become valid
class SpecDecodeWorker(LoraNotSupportedWorkerBase):
"""Worker which implements speculative decoding.
......
......@@ -51,7 +51,7 @@ logger = init_logger(__name__)
# Exception strings for non-implemented encoder/decoder scenarios
# Reminder: Please update docs/source/usage/compatibility_matrix.rst
# Reminder: Please update docs/source/usage/compatibility_matrix.md
# If the feature combo become valid
STR_NOT_IMPL_ENC_DEC_SWA = \
......
......@@ -821,7 +821,7 @@ def _pythonize_sampler_output(
for sgdx, (seq_group,
sample_result) in enumerate(zip(seq_groups, samples_list)):
# Reminder: Please update docs/source/usage/compatibility_matrix.rst
# Reminder: Please update docs/source/usage/compatibility_matrix.md
# If the feature combo become valid
# (Check for Guided Decoding)
if seq_group.sampling_params.logits_processors:
......
......@@ -13,7 +13,7 @@ def assert_enc_dec_mr_supported_scenario(
a supported scenario.
'''
# Reminder: Please update docs/source/usage/compatibility_matrix.rst
# Reminder: Please update docs/source/usage/compatibility_matrix.md
# If the feature combo become valid
if enc_dec_mr.cache_config.enable_prefix_caching:
......
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