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use crate::op::{BinaryOpT, CmpOp, ReduceOp, UnaryOpT};
use crate::{CpuStorage, DType, Layout, Result, Shape};
pub trait BackendStorage: Sized {
type Device: BackendDevice;
fn try_clone(&self, _: &Layout) -> Result<Self>;
fn dtype(&self) -> DType;
fn device(&self) -> &Self::Device;
// Maybe this should return a Cow instead so that no copy is done on the cpu case.
fn to_cpu_storage(&self) -> Result<CpuStorage>;
fn affine(&self, _: &Layout, _: f64, _: f64) -> Result<Self>;
fn powf(&self, _: &Layout, _: f64) -> Result<Self>;
fn elu(&self, _: &Layout, _: f64) -> Result<Self>;
fn reduce_op(&self, _: ReduceOp, _: &Layout, _: &[usize]) -> Result<Self>;
fn cmp(&self, _: CmpOp, _: &Self, _: &Layout, _: &Layout) -> Result<Self>;
fn to_dtype(&self, _: &Layout, _: DType) -> Result<Self>;
fn unary_impl<B: UnaryOpT>(&self, _: &Layout) -> Result<Self>;
fn binary_impl<B: BinaryOpT>(&self, _: &Self, _: &Layout, _: &Layout) -> Result<Self>;
fn where_cond(&self, _: &Layout, _: &Self, _: &Layout, _: &Self, _: &Layout) -> Result<Self>;
fn conv1d(
&self,
_l: &Layout,
_kernel: &Self,
_kernel_l: &Layout,
_params: &crate::conv::ParamsConv1D,
) -> Result<Self>;
fn conv_transpose1d(
&self,
_l: &Layout,
_kernel: &Self,
_kernel_l: &Layout,
_params: &crate::conv::ParamsConvTranspose1D,
) -> Result<Self>;
fn conv2d(
&self,
_l: &Layout,
_kernel: &Self,
_kernel_l: &Layout,
_params: &crate::conv::ParamsConv2D,
) -> Result<Self>;
fn conv_transpose2d(
&self,
_l: &Layout,
_kernel: &Self,
_kernel_l: &Layout,
_params: &crate::conv::ParamsConvTranspose2D,
) -> Result<Self>;
fn avg_pool2d(&self, _: &Layout, _: (usize, usize), _: (usize, usize)) -> Result<Self>;
fn max_pool2d(&self, _: &Layout, _: (usize, usize), _: (usize, usize)) -> Result<Self>;
fn upsample_nearest1d(&self, _: &Layout, _: usize) -> Result<Self>;
fn upsample_nearest2d(&self, _: &Layout, _: usize, _: usize) -> Result<Self>;
fn gather(&self, _: &Layout, _: &Self, _: &Layout, _: usize) -> Result<Self>;
fn scatter_add(
&self,
_: &Layout,
_: &Self,
_: &Layout,
_: &Self,
_: &Layout,
_: usize,
) -> Result<Self>;
fn index_select(&self, _: &Self, _: &Layout, _: &Layout, _: usize) -> Result<Self>;
fn index_add(
&self,
_: &Layout,
_: &Self,
_: &Layout,
_: &Self,
_: &Layout,
_: usize,
) -> Result<Self>;
fn matmul(
&self,
_: &Self,
_: (usize, usize, usize, usize),
_: &Layout,
_: &Layout,
) -> Result<Self>;
fn copy_strided_src(&self, _: &mut Self, _: usize, _: &Layout) -> Result<()>;
#[allow(clippy::too_many_arguments)]
// Similar to cudaMemcpy2D, though values are in elements and not in bytes.
fn copy2d(
&self,
_: &mut Self,
_d1: usize,
_d2: usize,
_src_stride1: usize,
_dst_stride1: usize,
_src_offset: usize,
_dst_offset: usize,
) -> Result<()>;
}
pub trait BackendDevice: Sized + std::fmt::Debug + Clone {
type Storage: BackendStorage;
// TODO: Make the usize generic and part of a generic DeviceLocation.
fn new(_: usize) -> Result<Self>;
fn location(&self) -> crate::DeviceLocation;
fn same_device(&self, _: &Self) -> bool;
fn zeros_impl(&self, _shape: &Shape, _dtype: DType) -> Result<Self::Storage>;
fn ones_impl(&self, _shape: &Shape, _dtype: DType) -> Result<Self::Storage>;
fn storage_from_cpu_storage(&self, _: &CpuStorage) -> Result<Self::Storage>;
fn rand_uniform(&self, _: &Shape, _: DType, _: f64, _: f64) -> Result<Self::Storage>;
fn rand_normal(&self, _: &Shape, _: DType, _: f64, _: f64) -> Result<Self::Storage>;
fn set_seed(&self, _: u64) -> Result<()>;
}
|
