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Adding Gemm and ArgMax operators to candle-onnx (#2231)

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* feat(gemm): implement Gemm operator in candle-onnx

* feat(onnx): Add support for ArgMax operator in candle-onnx

* Apply rustfmt.

* Remove argmax as it was already present.

---------

Co-authored-by: Laurent <laurent.mazare@gmail.com>
This commit is contained in:
drCathieSo.eth
2024-06-29 03:40:31 +08:00
committed by GitHub
parent 242e006bbb
commit a3dd87f15e
1 changed files with 24 additions and 0 deletions
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24
candle-onnx/src/eval.rs
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@ -1274,6 +1274,30 @@ fn simple_eval_(
let output = candle_nn::ops::leaky_relu(input, alpha.into())?;
values.insert(node.output[0].clone(), output);
}
// https://github.com/onnx/onnx/blob/main/docs/Operators.md#Gemm
"Gemm" => {
let a = get(&node.input[0])?;
let b = get(&node.input[1])?;
let c = get(&node.input[2])?;
let alpha = get_attr_opt::<f32>(node, "alpha")?.copied().unwrap_or(1.0);
let beta = get_attr_opt::<f32>(node, "beta")?.copied().unwrap_or(1.0);
let alpha = Tensor::full(alpha, a.shape(), &Device::Cpu)?;
let beta = Tensor::full(beta, c.shape(), &Device::Cpu)?;
let trans_a = get_attr_opt::<i64>(node, "transA")?.copied().unwrap_or(0);
let trans_b = get_attr_opt::<i64>(node, "transB")?.copied().unwrap_or(0);
let a = if trans_a == 0 { a.clone() } else { a.t()? };
let b = if trans_b == 0 { b.clone() } else { b.t()? };
let output = a
.broadcast_mul(&alpha)?
.broadcast_matmul(&b)?
.broadcast_add(&c.broadcast_mul(&beta)?)?;
values.insert(node.output[0].clone(), output);
}
op_type => bail!("unsupported op_type {op_type} for op {node:?}"),
}
}