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Naive implementation for conv2d. (#341)

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This commit is contained in:
Laurent Mazare
2023-08-08 07:34:36 +02:00
committed by GitHub
parent b5bb5e056d
commit ab35684326
1 changed files with 52 additions and 5 deletions
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57
candle-core/src/cpu_backend.rs
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@ -1039,12 +1039,59 @@ impl<'a> Map2 for Conv2D<'a> {
const OP: &'static str = "conv2d";
fn f<T: 'static + num_traits::NumAssign + Copy>(
&self,
_inp: &[T],
_inp_l: &Layout,
_k: &[T],
_k_l: &Layout,
inp: &[T],
inp_l: &Layout,
k: &[T],
k_l: &Layout,
) -> Result<Vec<T>> {
todo!()
let p = self.0;
let inp = &inp[inp_l.start_offset()..];
let inp_stride = inp_l.stride();
let k = &k[k_l.start_offset()..];
let k_stride = k_l.stride();
let (out_h, out_w) = (p.out_h(), p.out_w());
let mut dst = vec![T::zero(); p.b_size * p.c_out * out_h * out_w];
for b_idx in 0..p.b_size {
let inp_idx = b_idx * inp_stride[0];
let dst_idx = b_idx * p.c_out * out_h * out_w;
for dst_c_idx in 0..p.c_out {
let dst_idx = dst_idx + dst_c_idx * out_h * out_w;
for dst_h in 0..out_h {
let dst_idx = dst_idx + dst_h * out_w;
for dst_w in 0..out_h {
let dst_idx = dst_idx + dst_w;
let mut d = T::zero();
for offset_h in 0..p.k_h {
let src_h_plus = p.stride * dst_h + offset_h;
if p.k_h / 2 <= src_h_plus && src_h_plus < p.k_h / 2 + p.i_h {
let src_h = src_h_plus - p.k_h / 2;
for offset_w in 0..p.k_w {
let src_w_plus = p.stride * dst_w + offset_w;
// inp[bidx, src_c_idx, dst_l + offset - k//2] * k[dst_c_idx, src_c_idx, offset]
if p.k_w / 2 <= src_w_plus && src_w_plus < p.k_w / 2 + p.i_w {
let src_w = src_w_plus - p.k_w / 2;
for src_c_idx in 0..p.c_in {
let inp_idx = inp_idx
+ src_c_idx * inp_stride[1]
+ src_h * inp_stride[2]
+ src_w * inp_stride[3];
let k_idx = dst_c_idx * k_stride[0]
+ src_c_idx * k_stride[1]
+ offset_h * k_stride[2]
+ offset_w * k_stride[3];
d += inp[inp_idx] * k[k_idx]
}
}
}
}
}
dst[dst_idx] = d
}
}
}
}
Ok(dst)
}
}