dpv007 commited on
Commit
29d8275
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1 Parent(s): ef858e8

Upload folder using huggingface_hub

Browse files
Files changed (4) hide show
  1. Dockerfile +2 -2
  2. app.py +0 -1
  3. model.onnx +2 -2
  4. neural_engine/src/main.rs +2 -2
Dockerfile CHANGED
@@ -41,8 +41,8 @@ RUN mkdir -p Neurex_Engine && \
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  cp model.onnx Neurex_Engine/ || true && \
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  cp vocab.json Neurex_Engine/ || true
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- # Download the massive model_int8.onnx.data from our model repository directly into the root folder (where model_int8.onnx is)
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- RUN curl -L -o ./model_int8.onnx.data https://huggingface.co/dpv007/Neurex-Weights/resolve/main/model_int8.onnx.data
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  # Make engines executable
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  RUN chmod +x Neurex_Engine/Neurex && \
 
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  cp model.onnx Neurex_Engine/ || true && \
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  cp vocab.json Neurex_Engine/ || true
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+ # Download the massive model.onnx.data from our model repository directly into the root folder (where model.onnx is)
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+ RUN curl -L -o ./model.onnx.data https://huggingface.co/dpv007/Neurex-Weights/resolve/main/model.onnx.data
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  # Make engines executable
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  RUN chmod +x Neurex_Engine/Neurex && \
app.py CHANGED
@@ -119,7 +119,6 @@ async def make_move(req: MoveRequest):
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  print("ERROR: Rust engine is not loaded.")
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  return JSONResponse({'ai_move': None, 'eval': 0.0})
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- # MCTS runs 150 simulations
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  result = await rust_engine_pool.play(board, chess.engine.Limit(time=req.time_limit), info=chess.engine.INFO_ALL)
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  ai_move = result.move.uci()
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  print("ERROR: Rust engine is not loaded.")
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  return JSONResponse({'ai_move': None, 'eval': 0.0})
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  result = await rust_engine_pool.play(board, chess.engine.Limit(time=req.time_limit), info=chess.engine.INFO_ALL)
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  ai_move = result.move.uci()
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model.onnx CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:b909959167c6467fa87bda3dbde035a6ff8fc98908785dd1268358b3d2cb0a93
3
- size 289721
 
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  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a4c289f756799c983b4abb69849015416a8c03d4039eed21b0bb9c8e9c6e362
3
+ size 110555
neural_engine/src/main.rs CHANGED
@@ -482,11 +482,11 @@ fn main() {
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  let num_threads = std::thread::available_parallelism().map(|n| n.get()).unwrap_or(4).min(8);
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  let mut sessions: Vec<Option<Session>> = Vec::new();
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  for _ in 0..num_threads {
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- let sess = if Path::new("model_int8.onnx").exists() {
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  Some(Session::builder().unwrap()
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  .with_optimization_level(GraphOptimizationLevel::Level3).unwrap()
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  .with_intra_threads(1).unwrap()
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- .commit_from_file("model_int8.onnx").unwrap())
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  } else {
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  None
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  };
 
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  let num_threads = std::thread::available_parallelism().map(|n| n.get()).unwrap_or(4).min(8);
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  let mut sessions: Vec<Option<Session>> = Vec::new();
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  for _ in 0..num_threads {
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+ let sess = if Path::new("model.onnx").exists() {
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  Some(Session::builder().unwrap()
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  .with_optimization_level(GraphOptimizationLevel::Level3).unwrap()
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  .with_intra_threads(1).unwrap()
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+ .commit_from_file("model.onnx").unwrap())
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  } else {
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  None
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  };