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fix conflict

This commit is contained in:
Mohit Sharma 2024-09-20 08:59:17 +00:00
parent 4fb947d2aa f478aa77ad
commit 21d1b0cd8b
18 changed files with 505 additions and 61 deletions
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2
.github/workflows/nix_tests.yaml vendored
View File

@ -38,4 +38,4 @@ jobs:
env:
HF_TOKEN: ${{ secrets.HF_TOKEN }}
- name: Rust tests.
run: nix build .#checks.$(nix eval --impure --raw --expr 'builtins.currentSystem').rust -L
run: nix develop .#test --command cargo test

1
.github/workflows/tests.yaml vendored
View File

@ -42,6 +42,7 @@ jobs:
sudo rm -rf /usr/share/dotnet # will release about 20GB if you don't need .NET
- name: Install
run: |
sudo apt update
sudo apt install python3.11-dev -y
make install-cpu
- name: Run server tests

2
.redocly.lint-ignore.yaml
View File

@ -23,9 +23,11 @@ docs/openapi.json:
- '#/components/schemas/GenerateResponse/properties/details/nullable'
- '#/components/schemas/StreamResponse/properties/details/nullable'
- '#/components/schemas/ChatRequest/properties/response_format/nullable'
- '#/components/schemas/ChatRequest/properties/stream_options/nullable'
- '#/components/schemas/ChatRequest/properties/tool_choice/nullable'
- '#/components/schemas/ToolChoice/nullable'
- '#/components/schemas/ChatCompletionComplete/properties/logprobs/nullable'
- '#/components/schemas/ChatCompletionChunk/properties/usage/nullable'
- '#/components/schemas/ChatCompletionChoice/properties/logprobs/nullable'
no-invalid-media-type-examples:
- '#/paths/~1/post/responses/422/content/application~1json/example'

6
Cargo.toml
View File

@ -5,7 +5,8 @@ members = [
"backends/grpc-metadata",
"backends/trtllm",
"backends/client",
"launcher"
"launcher",
"router"
]
default-members = [
"benchmark",
@ -13,7 +14,8 @@ default-members = [
"backends/grpc-metadata",
# "backends/trtllm",
"backends/client",
"launcher"
"launcher",
"router"
]
resolver = "2"

3
clients/python/text_generation/types.py
View File

@ -168,7 +168,7 @@ class ChatCompletionComplete(BaseModel):
# Log probabilities for the chat completion
logprobs: Optional[Any]
# Reason for completion
finish_reason: str
finish_reason: Optional[str]
# Usage details of the chat completion
usage: Optional[Any] = None
@ -191,6 +191,7 @@ class ChatCompletionChunk(BaseModel):
model: str
system_fingerprint: str
choices: List[Choice]
usage: Optional[Any] = None
class Parameters(BaseModel):

29
docs/openapi.json
View File

@ -742,6 +742,14 @@
},
"system_fingerprint": {
"type": "string"
},
"usage": {
"allOf": [
{
"$ref": "#/components/schemas/Usage"
}
],
"nullable": true
}
}
},
@ -937,6 +945,14 @@
"stream": {
"type": "boolean"
},
"stream_options": {
"allOf": [
{
"$ref": "#/components/schemas/StreamOptions"
}
],
"nullable": true
},
"temperature": {
"type": "number",
"format": "float",
@ -1912,6 +1928,19 @@
}
}
},
"StreamOptions": {
"type": "object",
"required": [
"include_usage"
],
"properties": {
"include_usage": {
"type": "boolean",
"description": "If set, an additional chunk will be streamed before the data: [DONE] message. The usage field on this chunk shows the token usage statistics for the entire request, and the choices field will always be an empty array. All other chunks will also include a usage field, but with a null value.",
"example": "true"
}
}
},
"StreamResponse": {
"type": "object",
"required": [

4
docs/source/reference/launcher.md
View File

@ -55,7 +55,9 @@ Options:
## QUANTIZE
```shell
--quantize <QUANTIZE>
Whether you want the model to be quantized
Quantization method to use for the model. It is not necessary to specify this option for pre-quantized models, since the quantization method is read from the model configuration.
Marlin kernels will be used automatically for GPTQ/AWQ models.
[env: QUANTIZE=]

18
flake.lock
View File

@ -479,11 +479,11 @@
"systems": "systems_6"
},
"locked": {
"lastModified": 1710146030,
"narHash": "sha256-SZ5L6eA7HJ/nmkzGG7/ISclqe6oZdOZTNoesiInkXPQ=",
"lastModified": 1726560853,
"narHash": "sha256-X6rJYSESBVr3hBoH0WbKE5KvhPU5bloyZ2L4K60/fPQ=",
"owner": "numtide",
"repo": "flake-utils",
"rev": "b1d9ab70662946ef0850d488da1c9019f3a9752a",
"rev": "c1dfcf08411b08f6b8615f7d8971a2bfa81d5e8a",
"type": "github"
},
"original": {
@ -853,11 +853,11 @@
]
},
"locked": {
"lastModified": 1726280639,
"narHash": "sha256-YfLRPlFZWrT2oRLNAoqf7G3+NnUTDdlIJk6tmBU7kXM=",
"lastModified": 1726626348,
"narHash": "sha256-sYV7e1B1yLcxo8/h+/hTwzZYmaju2oObNiy5iRI0C30=",
"owner": "oxalica",
"repo": "rust-overlay",
"rev": "e9f8641c92f26fd1e076e705edb12147c384171d",
"rev": "6fd52ad8bd88f39efb2c999cc971921c2fb9f3a2",
"type": "github"
},
"original": {
@ -978,11 +978,11 @@
"nixpkgs": "nixpkgs_6"
},
"locked": {
"lastModified": 1726229792,
"narHash": "sha256-9xsLmjc9nr7a4PTddKv2DOi82ompTtJNyjO6R67y5tE=",
"lastModified": 1726743157,
"narHash": "sha256-7OczwJsA47o+aUftMwkoh8R31DlNSl2FgRjqE8zAggk=",
"owner": "danieldk",
"repo": "tgi-nix",
"rev": "1a902f4818e94c3f8d95f6000db17bc3fadd0ce7",
"rev": "bcc9fd01cf81bc42cebb999a736a377adfa8942f",
"type": "github"
},
"original": {

23
flake.nix
View File

@ -67,17 +67,26 @@
'';
};
server = pkgs.python3.pkgs.callPackage ./nix/server.nix { inherit nix-filter; };
client = pkgs.python3.pkgs.callPackage ./nix/client.nix { };
in
{
checks = {
rust = with pkgs; rustPlatform.buildRustPackage {
rust =
with pkgs;
rustPlatform.buildRustPackage {
name = "rust-checks";
src = ./.;
cargoLock = {
lockFile = ./Cargo.lock;
};
buildInputs = [ openssl.dev ];
nativeBuildInputs = [ clippy pkg-config protobuf python3 rustfmt ];
nativeBuildInputs = [
clippy
pkg-config
protobuf
python3
rustfmt
];
buildPhase = ''
cargo check
'';
@ -89,9 +98,7 @@
installPhase = "touch $out";
};
};
formatter = pkgs.nixfmt-rfc-style;
devShells = with pkgs; rec {
default = pure;
@ -106,10 +113,11 @@
test = mkShell {
buildInputs =
[
# benchmark
# launcher
# router
benchmark
launcher
router
server
client
openssl.dev
pkg-config
cargo
@ -149,6 +157,7 @@
pyright
pytest
pytest-asyncio
redocly
ruff
syrupy
]);

206
integration-tests/models/__snapshots__/test_completion_prompts/test_flash_llama_completion_stream_usage.json Normal file
View File

@ -0,0 +1,206 @@
[
{
"choices": [
{
"delta": {
"content": "**",
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1726656043,
"id": "",
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"object": "chat.completion.chunk",
"system_fingerprint": "2.2.1-dev0-native",
"usage": null
},
{
"choices": [
{
"delta": {
"content": "Deep",
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1726656043,
"id": "",
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"object": "chat.completion.chunk",
"system_fingerprint": "2.2.1-dev0-native",
"usage": null
},
{
"choices": [
{
"delta": {
"content": " Learning",
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1726656043,
"id": "",
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"object": "chat.completion.chunk",
"system_fingerprint": "2.2.1-dev0-native",
"usage": null
},
{
"choices": [
{
"delta": {
"content": ":",
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1726656043,
"id": "",
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"object": "chat.completion.chunk",
"system_fingerprint": "2.2.1-dev0-native",
"usage": null
},
{
"choices": [
{
"delta": {
"content": " An",
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1726656043,
"id": "",
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"object": "chat.completion.chunk",
"system_fingerprint": "2.2.1-dev0-native",
"usage": null
},
{
"choices": [
{
"delta": {
"content": " Overview",
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1726656043,
"id": "",
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"object": "chat.completion.chunk",
"system_fingerprint": "2.2.1-dev0-native",
"usage": null
},
{
"choices": [
{
"delta": {
"content": "**\n",
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1726656044,
"id": "",
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"object": "chat.completion.chunk",
"system_fingerprint": "2.2.1-dev0-native",
"usage": null
},
{
"choices": [
{
"delta": {
"content": "================================",
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1726656044,
"id": "",
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"object": "chat.completion.chunk",
"system_fingerprint": "2.2.1-dev0-native",
"usage": null
},
{
"choices": [
{
"delta": {
"content": "=====",
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1726656044,
"id": "",
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"object": "chat.completion.chunk",
"system_fingerprint": "2.2.1-dev0-native",
"usage": null
},
{
"choices": [
{
"delta": {
"content": "\n\n",
"role": "assistant",
"tool_calls": null
},
"finish_reason": "length",
"index": 0,
"logprobs": null
}
],
"created": 1726656044,
"id": "",
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"object": "chat.completion.chunk",
"system_fingerprint": "2.2.1-dev0-native",
"usage": {
"completion_tokens": 10,
"prompt_tokens": 40,
"total_tokens": 50
}
}
]

112
integration-tests/models/test_completion_prompts.py
View File

@ -3,9 +3,7 @@ import requests
import json
from aiohttp import ClientSession
from text_generation.types import (
Completion,
)
from text_generation.types import Completion, ChatCompletionChunk
@pytest.fixture(scope="module")
@ -50,6 +48,114 @@ def test_flash_llama_completion_single_prompt(
assert response == response_snapshot
@pytest.mark.release
async def test_flash_llama_completion_stream_usage(
flash_llama_completion, response_snapshot
):
url = f"{flash_llama_completion.base_url}/v1/chat/completions"
request = {
"model": "tgi",
"messages": [
{
"role": "user",
"content": "What is Deep Learning?",
}
],
"max_tokens": 10,
"temperature": 0.0,
"stream_options": {"include_usage": True},
"stream": True,
}
string = ""
chunks = []
had_usage = False
async with ClientSession(headers=flash_llama_completion.headers) as session:
async with session.post(url, json=request) as response:
# iterate over the stream
async for chunk in response.content.iter_any():
# remove "data:"
chunk = chunk.decode().split("\n\n")
# remove "data:" if present
chunk = [c.replace("data:", "") for c in chunk]
# remove empty strings
chunk = [c for c in chunk if c]
# remove completion marking chunk
chunk = [c for c in chunk if c != " [DONE]"]
# parse json
chunk = [json.loads(c) for c in chunk]
for c in chunk:
chunks.append(ChatCompletionChunk(**c))
assert "choices" in c
if len(c["choices"]) == 1:
index = c["choices"][0]["index"]
assert index == 0
string += c["choices"][0]["delta"]["content"]
has_usage = c["usage"] is not None
assert not had_usage
if has_usage:
had_usage = True
else:
raise RuntimeError("Expected different payload")
assert had_usage
assert (
string
== "**Deep Learning: An Overview**\n=====================================\n\n"
)
assert chunks == response_snapshot
request = {
"model": "tgi",
"messages": [
{
"role": "user",
"content": "What is Deep Learning?",
}
],
"max_tokens": 10,
"temperature": 0.0,
"stream": True,
}
string = ""
chunks = []
had_usage = False
async with ClientSession(headers=flash_llama_completion.headers) as session:
async with session.post(url, json=request) as response:
# iterate over the stream
async for chunk in response.content.iter_any():
# remove "data:"
chunk = chunk.decode().split("\n\n")
# remove "data:" if present
chunk = [c.replace("data:", "") for c in chunk]
# remove empty strings
chunk = [c for c in chunk if c]
# remove completion marking chunk
chunk = [c for c in chunk if c != " [DONE]"]
# parse json
chunk = [json.loads(c) for c in chunk]
for c in chunk:
chunks.append(ChatCompletionChunk(**c))
assert "choices" in c
if len(c["choices"]) == 1:
index = c["choices"][0]["index"]
assert index == 0
string += c["choices"][0]["delta"]["content"]
has_usage = c["usage"] is not None
assert not had_usage
if has_usage:
had_usage = True
else:
raise RuntimeError("Expected different payload")
assert not had_usage
assert (
string
== "**Deep Learning: An Overview**\n=====================================\n\n"
)
@pytest.mark.release
def test_flash_llama_completion_many_prompts(flash_llama_completion, response_snapshot):
response = requests.post(

6
launcher/src/main.rs
View File

@ -367,7 +367,11 @@ struct Args {
#[clap(long, env)]
num_shard: Option<usize>,
/// Whether you want the model to be quantized.
/// Quantization method to use for the model. It is not necessary to specify this option
/// for pre-quantized models, since the quantization method is read from the model
/// configuration.
///
/// Marlin kernels will be used automatically for GPTQ/AWQ models.
#[clap(long, env, value_enum)]
quantize: Option<Quantization>,

21
nix/client.nix Normal file
View File

@ -0,0 +1,21 @@
{
buildPythonPackage,
poetry-core,
huggingface-hub,
pydantic,
}:
buildPythonPackage {
name = "text-generation";
src = ../clients/python;
pyproject = true;
build-system = [ poetry-core ];
dependencies = [
huggingface-hub
pydantic
];
}

36
router/src/lib.rs
View File

@ -684,6 +684,7 @@ pub(crate) struct ChatCompletionChunk {
pub model: String,
pub system_fingerprint: String,
pub choices: Vec<ChatCompletionChoice>,
pub usage: Option<Usage>,
}
#[derive(Clone, Serialize, ToSchema)]
@ -732,6 +733,7 @@ impl ChatCompletionChunk {
created: u64,
logprobs: Option<ChatCompletionLogprobs>,
finish_reason: Option<String>,
usage: Option<Usage>,
) -> Self {
let delta = match (delta, tool_calls) {
(Some(delta), _) => ChatCompletionDelta::Chat(TextMessage {
@ -766,6 +768,7 @@ impl ChatCompletionChunk {
logprobs,
finish_reason,
}],
usage,
}
}
}
@ -880,6 +883,18 @@ pub(crate) struct ChatRequest {
#[serde(default)]
#[schema(nullable = true, default = "null", example = "null")]
pub guideline: Option<String>,
/// Options for streaming response. Only set this when you set stream: true.
#[serde(default)]
#[schema(nullable = true, example = "null")]
pub stream_options: Option<StreamOptions>,
}
#[derive(Clone, Deserialize, ToSchema, Serialize)]
struct StreamOptions {
/// If set, an additional chunk will be streamed before the data: [DONE] message. The usage field on this chunk shows the token usage statistics for the entire request, and the choices field will always be an empty array. All other chunks will also include a usage field, but with a null value.
#[schema(example = "true")]
include_usage: bool,
}
pub fn default_tool_prompt() -> String {
@ -1472,6 +1487,27 @@ mod tests {
let textmsg: TextMessage = message.into();
assert_eq!(textmsg.content, "Whats in this image?![](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/rabbit.png)");
}
#[test]
fn test_chat_stream_options() {
let json = json!({
"model": "",
"stream_options": {"include_usage": true},
"messages": [{
"role": "user",
"content": "Hello"
}]
});
let request: ChatRequest = serde_json::from_str(json.to_string().as_str()).unwrap();
assert!(matches!(
request.stream_options,
Some(StreamOptions {
include_usage: true
})
));
}
#[test]
fn openai_output() {
let message = OutputMessage::ChatMessage(TextMessage {

31
router/src/server.rs
View File

@ -13,8 +13,8 @@ use crate::{
usage_stats, BestOfSequence, Details, ErrorResponse, FinishReason, FunctionName,
GenerateParameters, GenerateRequest, GenerateResponse, GrammarType, HubModelInfo,
HubProcessorConfig, HubTokenizerConfig, Info, Message, MessageChunk, MessageContent,
OutputMessage, PrefillToken, SimpleToken, StreamDetails, StreamResponse, TextMessage, Token,
TokenizeResponse, ToolCallDelta, ToolCallMessage, Url, Usage, Validation,
OutputMessage, PrefillToken, SimpleToken, StreamDetails, StreamOptions, StreamResponse,
TextMessage, Token, TokenizeResponse, ToolCallDelta, ToolCallMessage, Url, Usage, Validation,
};
use crate::{
ChatCompletion, ChatCompletionChoice, ChatCompletionChunk, ChatCompletionComplete,
@ -1175,6 +1175,7 @@ async fn chat_completions(
seed,
stop,
stream,
stream_options,
tools,
tool_choice,
tool_prompt,
@ -1265,6 +1266,28 @@ async fn chat_completions(
(content, None)
};
let (usage, finish_reason) = match stream_token.details {
Some(details) => {
let usage = if stream_options
.as_ref()
.map(|s| s.include_usage)
.unwrap_or(false)
{
let completion_tokens = details.generated_tokens;
let prompt_tokens = details.input_length;
let total_tokens = prompt_tokens + completion_tokens;
Some(Usage {
completion_tokens,
prompt_tokens,
total_tokens,
})
} else {
None
};
(usage, Some(details.finish_reason.format(true)))
}
None => (None, None),
};
event
.json_data(CompletionType::ChatCompletionChunk(
ChatCompletionChunk::new(
@ -1274,7 +1297,8 @@ async fn chat_completions(
tool_calls,
current_time,
logprobs,
stream_token.details.map(|d| d.finish_reason.format(true)),
finish_reason,
usage,
),
))
.unwrap_or_else(|e| {
@ -1664,6 +1688,7 @@ StreamDetails,
ErrorResponse,
GrammarType,
Usage,
StreamOptions,
DeltaToolCall,
ToolType,
Tool,

24
server/poetry.lock generated
View File

@ -1244,12 +1244,12 @@ files = [
[[package]]
name = "moe-kernels"
version = "0.2.2"
version = "0.3.1"
description = "MoE kernels"
optional = true
python-versions = ">=3.7"
files = [
{file = "moe_kernels-0.2.2+cu123torch2.4-cp310-cp310-linux_x86_64.whl", hash = "sha256:d268d818932ddcbca9bc71021dc63b008aae832827a7c0484cf206bd59cfc9ab"},
{file = "moe_kernels-0.3.1+cu123torch2.4-cp310-cp310-linux_x86_64.whl", hash = "sha256:b679984a53807127f25af053ec0a2c07dec97ec196f76363a8bfdc3fbb3d1a9a"},
]
[package.dependencies]
@ -1259,16 +1259,16 @@ triton = "*"
[package.source]
type = "url"
url = "https://github.com/danieldk/moe-kernels/releases/download/v0.2.2/moe_kernels-0.2.2+cu123torch2.4-cp310-cp310-linux_x86_64.whl"
url = "https://github.com/danieldk/moe-kernels/releases/download/v0.3.1/moe_kernels-0.3.1+cu123torch2.4-cp310-cp310-linux_x86_64.whl"
[[package]]
name = "moe-kernels"
version = "0.2.2"
version = "0.3.1"
description = "MoE kernels"
optional = true
python-versions = ">=3.7"
files = [
{file = "moe_kernels-0.2.2+cu123torch2.4-cp311-cp311-linux_x86_64.whl", hash = "sha256:614bbc3f41b707b0c40372f0bb00e218ad0842d306f90bef28ce8e98e7fcb7cb"},
{file = "moe_kernels-0.3.1+cu123torch2.4-cp311-cp311-linux_x86_64.whl", hash = "sha256:29684f81495f6e032085295c86d160022f03d5d9a9981446f311ca94fbbbc2cd"},
]
[package.dependencies]
@ -1278,16 +1278,16 @@ triton = "*"
[package.source]
type = "url"
url = "https://github.com/danieldk/moe-kernels/releases/download/v0.2.2/moe_kernels-0.2.2+cu123torch2.4-cp311-cp311-linux_x86_64.whl"
url = "https://github.com/danieldk/moe-kernels/releases/download/v0.3.1/moe_kernels-0.3.1+cu123torch2.4-cp311-cp311-linux_x86_64.whl"
[[package]]
name = "moe-kernels"
version = "0.2.2"
version = "0.3.1"
description = "MoE kernels"
optional = true
python-versions = ">=3.7"
files = [
{file = "moe_kernels-0.2.2+cu123torch2.4-cp312-cp312-linux_x86_64.whl", hash = "sha256:c2f48ed541353be03157d4015270dff797f7b7b8a664babdcbdf7414867d5abd"},
{file = "moe_kernels-0.3.1+cu123torch2.4-cp312-cp312-linux_x86_64.whl", hash = "sha256:9dfdbef48b5b7e97912aaa7420b1b694876a3281f5edfe7d4ca9a69e1f48bff2"},
]
[package.dependencies]
@ -1297,16 +1297,16 @@ triton = "*"
[package.source]
type = "url"
url = "https://github.com/danieldk/moe-kernels/releases/download/v0.2.2/moe_kernels-0.2.2+cu123torch2.4-cp312-cp312-linux_x86_64.whl"
url = "https://github.com/danieldk/moe-kernels/releases/download/v0.3.1/moe_kernels-0.3.1+cu123torch2.4-cp312-cp312-linux_x86_64.whl"
[[package]]
name = "moe-kernels"
version = "0.2.2"
version = "0.3.1"
description = "MoE kernels"
optional = true
python-versions = ">=3.7"
files = [
{file = "moe_kernels-0.2.2+cu123torch2.4-cp39-cp39-linux_x86_64.whl", hash = "sha256:d5f0339b73426c422872f7ff060433df6cd8e881451baf85ee7454e0e905f9d8"},
{file = "moe_kernels-0.3.1+cu123torch2.4-cp39-cp39-linux_x86_64.whl", hash = "sha256:f7d0fc8f191c905a668f3d2eb889999ee988048d08bfd7062d64bca3876588ae"},
]
[package.dependencies]
@ -1316,7 +1316,7 @@ triton = "*"
[package.source]
type = "url"
url = "https://github.com/danieldk/moe-kernels/releases/download/v0.2.2/moe_kernels-0.2.2+cu123torch2.4-cp39-cp39-linux_x86_64.whl"
url = "https://github.com/danieldk/moe-kernels/releases/download/v0.3.1/moe_kernels-0.3.1+cu123torch2.4-cp39-cp39-linux_x86_64.whl"
[[package]]
name = "mpmath"

8
server/pyproject.toml
View File

@ -47,10 +47,10 @@ marlin-kernels = [
{ url = "https://github.com/danieldk/marlin-kernels/releases/download/v0.2.0/marlin_kernels-0.2.0+cu123torch2.4-cp312-cp312-linux_x86_64.whl", python = "~3.12", optional = true },
]
moe-kernels = [
{ url = "https://github.com/danieldk/moe-kernels/releases/download/v0.2.2/moe_kernels-0.2.2+cu123torch2.4-cp39-cp39-linux_x86_64.whl", python = "~3.9", optional = true },
{ url = "https://github.com/danieldk/moe-kernels/releases/download/v0.2.2/moe_kernels-0.2.2+cu123torch2.4-cp310-cp310-linux_x86_64.whl", python = "~3.10", optional = true },
{ url = "https://github.com/danieldk/moe-kernels/releases/download/v0.2.2/moe_kernels-0.2.2+cu123torch2.4-cp311-cp311-linux_x86_64.whl", python = "~3.11", optional = true },
{ url = "https://github.com/danieldk/moe-kernels/releases/download/v0.2.2/moe_kernels-0.2.2+cu123torch2.4-cp312-cp312-linux_x86_64.whl", python = "~3.12", optional = true },
{ url = "https://github.com/danieldk/moe-kernels/releases/download/v0.3.1/moe_kernels-0.3.1+cu123torch2.4-cp39-cp39-linux_x86_64.whl", python = "~3.9", optional = true },
{ url = "https://github.com/danieldk/moe-kernels/releases/download/v0.3.1/moe_kernels-0.3.1+cu123torch2.4-cp310-cp310-linux_x86_64.whl", python = "~3.10", optional = true },
{ url = "https://github.com/danieldk/moe-kernels/releases/download/v0.3.1/moe_kernels-0.3.1+cu123torch2.4-cp311-cp311-linux_x86_64.whl", python = "~3.11", optional = true },
{ url = "https://github.com/danieldk/moe-kernels/releases/download/v0.3.1/moe_kernels-0.3.1+cu123torch2.4-cp312-cp312-linux_x86_64.whl", python = "~3.12", optional = true },
]
rich = "^13.7.1"

4
server/text_generation_server/models/custom_modeling/flash_deepseek_v2_modeling.py
View File

@ -20,8 +20,8 @@ from text_generation_server.utils.import_utils import SYSTEM
if SYSTEM == "rocm":
from text_generation_server.layers import grouped_topk
else:
from vllm.model_executor.layers.fused_moe import grouped_topk
elif SYSTEM != "ipex":
from moe_kernels.fused_moe import grouped_topk
import torch
import torch.distributed