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pub mod nn;
mod clip;
mod col_op;
mod diagflat;
mod fns;
mod max;
mod row_op;
mod scalar;
mod sum;
mod transpose;
mod random;
mod assign;
mod gemm;
mod arithmetic;
pub use clip::*;
pub use col_op::*;
pub use diagflat::*;
pub use fns::*;
pub use max::*;
pub use row_op::*;
pub use scalar::*;
pub use sum::*;
pub use transpose::*;
pub use random::*;
pub use assign::*;
pub use gemm::*;
pub use arithmetic::*;
#[cfg(any(feature="opencl", feature="cuda"))]
use custos::{
cpu::CPU,
};
#[cfg(any(feature="opencl", feature="cuda"))]
use crate::Matrix;
#[cfg(feature="opencl")]
use custos::CLDevice;
#[cfg(feature="opencl")]
pub fn cl_to_cpu_lr<
T: Copy+Default,
F: Fn(&CPU, &Matrix<T>, &Matrix<T>) -> Matrix<T>,
>(device: &CLDevice, lhs: &Matrix<T>, rhs: &Matrix<T>, f: F) -> Matrix<T>
{
use crate::opencl::cpu_exec_lhs_rhs;
cpu_exec_lhs_rhs(device, lhs, rhs, f).unwrap()
}
#[cfg(feature="opencl")]
pub fn cl_to_cpu_s<
T: Copy+Default, F:
Fn(&CPU, Matrix<T>) -> Matrix<T>
>(device: &CLDevice, x: &Matrix<T>, f: F) -> Matrix<T>
{
use crate::opencl::cpu_exec;
cpu_exec(device, x, f).unwrap()
}
#[cfg(feature="opencl")]
fn cl_to_cpu_scalar<T: Default + Copy, F: Fn(&CPU, Matrix<T>) -> T>(
device: &CLDevice,
x: &Matrix<T>,
f: F,
) -> T {
use crate::opencl::cpu_exec_scalar;
cpu_exec_scalar(device, x, f)
}
#[cfg(feature="cuda")]
use custos::CudaDevice;
#[cfg(feature="cuda")]
pub fn cu_to_cpu_lr<
T: Copy+Default,
F: Fn(&CPU, &Matrix<T>, &Matrix<T>) -> Matrix<T>,
>(device: &CudaDevice, lhs: &Matrix<T>, rhs: &Matrix<T>, f: F) -> Matrix<T>
{
let cpu = custos::CPU::new();
let lhs = Matrix::from((&cpu, lhs.dims(), custos::VecRead::read(device, lhs)));
let rhs = Matrix::from((&cpu, rhs.dims(), custos::VecRead::read(device, rhs)));
let result = f(&cpu, &lhs, &rhs);
Matrix::from((device, result))
}
#[cfg(feature="cuda")]
pub fn cu_to_cpu_s<
T: Copy+Default, F:
Fn(&CPU, Matrix<T>) -> Matrix<T>
>(device: &CudaDevice, x: &Matrix<T>, f: F) -> Matrix<T>
{
let cpu = custos::CPU::new();
let x = Matrix::from((&cpu, x.dims(), custos::VecRead::read(device, x)));
let result = f(&cpu, x);
Matrix::from((device, result))
}
#[cfg(feature="cuda")]
pub fn cu_to_cpu_scalar<T: Copy+Default, F: Fn(&CPU, Matrix<T>) -> T>(
device: &CudaDevice,
x: &Matrix<T>,
f: F,
) -> T {
let cpu = custos::CPU::new();
let x = Matrix::from((&cpu, x.dims(), custos::VecRead::read(device, x)));
f(&cpu, x)
}