style: format Rust workspace
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@@ -2,8 +2,20 @@ use std::ffi::c_void;
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use xserv_tensor::{DType, Device, Tensor};
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unsafe extern "C" {
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fn launch_softmax_f32(x: *const c_void, out: *mut c_void, rows: i32, cols: i32, stream: *mut c_void);
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fn launch_softmax_bf16(x: *const c_void, out: *mut c_void, rows: i32, cols: i32, stream: *mut c_void);
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fn launch_softmax_f32(
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x: *const c_void,
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out: *mut c_void,
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rows: i32,
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cols: i32,
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stream: *mut c_void,
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);
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fn launch_softmax_bf16(
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x: *const c_void,
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out: *mut c_void,
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rows: i32,
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cols: i32,
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stream: *mut c_void,
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);
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}
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/// Softmax along the last dimension.
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@@ -14,19 +26,31 @@ pub fn softmax(x: &Tensor) -> Tensor {
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let cols = *x.shape().last().unwrap();
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let rows = x.numel() / cols;
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assert!(rows <= i32::MAX as usize, "too many rows for i32 kernel param");
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assert!(cols <= i32::MAX as usize, "cols too large for i32 kernel param");
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assert!(
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rows <= i32::MAX as usize,
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"too many rows for i32 kernel param"
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);
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assert!(
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cols <= i32::MAX as usize,
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"cols too large for i32 kernel param"
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);
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let out = Tensor::empty(x.shape(), x.dtype(), x.device());
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unsafe {
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match x.dtype() {
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DType::F32 => launch_softmax_f32(
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x.data_ptr() as _, out.data_ptr() as *mut c_void,
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rows as i32, cols as i32, xserv_cuda::current_stream_raw(),
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x.data_ptr() as _,
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out.data_ptr() as *mut c_void,
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rows as i32,
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cols as i32,
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xserv_cuda::current_stream_raw(),
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),
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DType::BF16 => launch_softmax_bf16(
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x.data_ptr() as _, out.data_ptr() as *mut c_void,
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rows as i32, cols as i32, xserv_cuda::current_stream_raw(),
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x.data_ptr() as _,
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out.data_ptr() as *mut c_void,
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rows as i32,
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cols as i32,
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xserv_cuda::current_stream_raw(),
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),
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_ => panic!("unsupported dtype for softmax"),
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}
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