Add some skeleton code for GPU support.

3 files changed, 28 insertions, 0 deletions

diff --git a/src/device.rs b/src/device.rs
index d7b724d1..c092a347 100644
--- a/src/device.rs
+++ b/src/device.rs
@@ -6,6 +6,7 @@ use crate::{
 #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)]
 pub enum Device {
     Cpu,
+    Cuda { gpu_id: usize },
 }
 
 // TODO: Should we back the cpu implementation using the NdArray crate or similar?
@@ -72,6 +73,9 @@ impl Device {
                 };
                 Storage::Cpu(storage)
             }
+            Device::Cuda { gpu_id: _ } => {
+                todo!()
+            }
         }
     }
 
@@ -91,12 +95,18 @@ impl Device {
                 };
                 Storage::Cpu(storage)
             }
+            Device::Cuda { gpu_id: _ } => {
+                todo!()
+            }
         }
     }
 
     pub(crate) fn tensor<A: NdArray>(&self, array: A) -> Storage {
         match self {
             Device::Cpu => Storage::Cpu(array.to_cpu_storage()),
+            Device::Cuda { gpu_id: _ } => {
+                todo!()
+            }
         }
     }
 }
diff --git a/src/storage.rs b/src/storage.rs
index 463788d4..30161a2c 100644
--- a/src/storage.rs
+++ b/src/storage.rs
@@ -20,6 +20,7 @@ impl CpuStorage {
 #[derive(Debug, Clone)]
 pub enum Storage {
     Cpu(CpuStorage),
+    Cuda { gpu_id: usize }, // TODO: Actually add the storage.
 }
 
 trait UnaryOp {
@@ -116,12 +117,14 @@ impl Storage {
     pub fn device(&self) -> Device {
         match self {
             Self::Cpu(_) => Device::Cpu,
+            Self::Cuda { gpu_id } => Device::Cuda { gpu_id: *gpu_id },
         }
     }
 
     pub fn dtype(&self) -> DType {
         match self {
             Self::Cpu(storage) => storage.dtype(),
+            Self::Cuda { .. } => todo!(),
         }
     }
 
@@ -168,6 +171,7 @@ impl Storage {
                     Ok(Storage::Cpu(CpuStorage::F64(data)))
                 }
             },
+            Self::Cuda { .. } => todo!(),
         }
     }
 
@@ -186,6 +190,7 @@ impl Storage {
                     Ok(Storage::Cpu(CpuStorage::F64(data)))
                 }
             },
+            Self::Cuda { .. } => todo!(),
         }
     }
 
@@ -232,6 +237,16 @@ impl Storage {
                     })
                 }
             },
+            (Self::Cuda { .. }, Self::Cuda { .. }) => todo!(),
+            (lhs, rhs) => {
+                // Should not happen because of the same device check above but we're defensive
+                // anyway.
+                Err(Error::DeviceMismatchBinaryOp {
+                    lhs: lhs.device(),
+                    rhs: rhs.device(),
+                    op: B::NAME,
+                })
+            }
         }
     }
 
diff --git a/src/tensor.rs b/src/tensor.rs
index b8fa738a..2d704a65 100644
--- a/src/tensor.rs
+++ b/src/tensor.rs
@@ -209,6 +209,7 @@ impl Tensor {
                 let data = S::cpu_storage_as_slice(cpu_storage)?;
                 Ok(data[0])
             }
+            Storage::Cuda { .. } => todo!(),
         }
     }
 
@@ -249,6 +250,7 @@ impl Tensor {
                 let data = S::cpu_storage_as_slice(cpu_storage)?;
                 Ok(self.strided_index().map(|i| data[i]).collect())
             }
+            Storage::Cuda { .. } => todo!(),
         }
     }
 
@@ -266,6 +268,7 @@ impl Tensor {
                 assert!(src_index.next().is_none());
                 Ok(rows)
             }
+            Storage::Cuda { .. } => todo!(),
         }
     }