Cargo fmt

coreylowman · Nov 27, 2023 · 806a607 · 806a607
1 parent 32da97a
commit 806a607
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Showing 14 changed files with 16 additions and 17 deletions.
diff --git a/dfdx-core/src/tensor/webgpu/device.rs b/dfdx-core/src/tensor/webgpu/device.rs
@@ -68,7 +68,6 @@ impl Buffer {
         slice.map_async(wgpu::MapMode::Read, move |_| {
             sender.send(()).unwrap();
         });
-        // queue.submit(std::iter::empty());
         dev.poll(Maintain::Wait);
 
         let _ = receiver.recv().unwrap();

diff --git a/dfdx-core/src/tensor_ops/div/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/div/webgpu_kernel.rs
@@ -1,6 +1,9 @@
 use std::borrow::Cow;
 
-use crate::prelude::{ops::{UnaryKernel, BinaryKernel}, Dtype, Webgpu};
+use crate::prelude::{
+    ops::{BinaryKernel, UnaryKernel},
+    Dtype, Webgpu,
+};
 
 impl<E: Dtype> UnaryKernel<super::ScalarDivKernelOp<E>, E> for Webgpu {
     const BACKWARD_WITHOUT_INP: bool = false;
@@ -27,7 +30,7 @@ impl<E: Dtype> UnaryKernel<super::ScalarDivKernelOp<E>, E> for Webgpu {
     }
 }
 
-impl <E:Dtype> BinaryKernel<super::BinaryDivKernelOp, E> for Webgpu {
+impl<E: Dtype> BinaryKernel<super::BinaryDivKernelOp, E> for Webgpu {
     const BACKWARD_WITHOUT_DATA: bool = true;
 
     fn forward<S: crate::prelude::Shape>(

diff --git a/dfdx-core/src/tensor_ops/huber_error/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/huber_error/webgpu_kernel.rs
@@ -25,4 +25,3 @@ impl<E: Dtype> BinaryKernel<super::HuberErrorKernelOp<E>, E> for Webgpu {
         todo!()
     }
 }
-
diff --git a/dfdx-core/src/tensor_ops/ln/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/ln/webgpu_kernel.rs
@@ -26,4 +26,3 @@ impl<E: Dtype> UnaryKernel<super::LnKernelOp, E> for Webgpu {
         todo!()
     }
 }
-
diff --git a/dfdx-core/src/tensor_ops/maximum/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/maximum/webgpu_kernel.rs
@@ -1,4 +1,3 @@
-
 use crate::prelude::{ops::BinaryKernel, Dtype, Webgpu};
 use std::borrow::Cow;
 

diff --git a/dfdx-core/src/tensor_ops/minimum/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/minimum/webgpu_kernel.rs
@@ -1,4 +1,3 @@
-
 use crate::prelude::{ops::BinaryKernel, Dtype, Webgpu};
 use std::borrow::Cow;
 

diff --git a/dfdx-core/src/tensor_ops/mul/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/mul/webgpu_kernel.rs
@@ -1,6 +1,9 @@
 use std::borrow::Cow;
 
-use crate::prelude::{ops::{UnaryKernel, BinaryKernel}, Dtype, Webgpu};
+use crate::prelude::{
+    ops::{BinaryKernel, UnaryKernel},
+    Dtype, Webgpu,
+};
 
 impl<E: Dtype> UnaryKernel<super::ScalarMulKernelOp<E>, E> for Webgpu {
     const BACKWARD_WITHOUT_INP: bool = false;
@@ -27,7 +30,7 @@ impl<E: Dtype> UnaryKernel<super::ScalarMulKernelOp<E>, E> for Webgpu {
     }
 }
 
-impl <E:Dtype> BinaryKernel<super::BinaryMulKernelOp, E> for Webgpu {
+impl<E: Dtype> BinaryKernel<super::BinaryMulKernelOp, E> for Webgpu {
     const BACKWARD_WITHOUT_DATA: bool = true;
 
     fn forward<S: crate::prelude::Shape>(

diff --git a/dfdx-core/src/tensor_ops/nans_to/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/nans_to/webgpu_kernel.rs
@@ -26,4 +26,3 @@ impl<E: Dtype> UnaryKernel<super::NansToKernelOp<E>, E> for Webgpu {
         todo!()
     }
 }
-
diff --git a/dfdx-core/src/tensor_ops/roll/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/roll/webgpu_kernel.rs
@@ -1,6 +1,6 @@
 use crate::prelude::{Dtype, Webgpu};
 
-impl<E: Dtype> super::RollKernel<E> for Webgpu{
+impl<E: Dtype> super::RollKernel<E> for Webgpu {
     fn forward<S: crate::prelude::Shape>(
         &self,
         op: super::RollOp,

diff --git a/dfdx-core/src/tensor_ops/sin/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/sin/webgpu_kernel.rs
@@ -26,4 +26,3 @@ impl<E: Dtype> UnaryKernel<super::SinKernelOp, E> for Webgpu {
         todo!()
     }
 }
-
diff --git a/dfdx-core/src/tensor_ops/sqrt/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/sqrt/webgpu_kernel.rs
@@ -1,4 +1,3 @@
-
 use std::borrow::Cow;
 
 use crate::prelude::{ops::UnaryKernel, Dtype, Webgpu};

diff --git a/dfdx-core/src/tensor_ops/square/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/square/webgpu_kernel.rs
@@ -26,4 +26,3 @@ impl<E: Dtype> UnaryKernel<super::SquareKernelOp, E> for Webgpu {
         todo!()
     }
 }
-
diff --git a/dfdx-core/src/tensor_ops/sub/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/sub/webgpu_kernel.rs
@@ -1,6 +1,9 @@
 use std::borrow::Cow;
 
-use crate::prelude::{ops::{UnaryKernel, BinaryKernel}, Dtype, Webgpu};
+use crate::prelude::{
+    ops::{BinaryKernel, UnaryKernel},
+    Dtype, Webgpu,
+};
 
 impl<E: Dtype> UnaryKernel<super::ScalarSubKernelOp<E>, E> for Webgpu {
     const BACKWARD_WITHOUT_INP: bool = false;
@@ -27,7 +30,7 @@ impl<E: Dtype> UnaryKernel<super::ScalarSubKernelOp<E>, E> for Webgpu {
     }
 }
 
-impl <E:Dtype> BinaryKernel<super::BinarySubKernelOp, E> for Webgpu {
+impl<E: Dtype> BinaryKernel<super::BinarySubKernelOp, E> for Webgpu {
     const BACKWARD_WITHOUT_DATA: bool = true;
 
     fn forward<S: crate::prelude::Shape>(

diff --git a/dfdx-core/src/tensor_ops/tanh/webgpu_kernel.rs b/dfdx-core/src/tensor_ops/tanh/webgpu_kernel.rs
@@ -26,4 +26,3 @@ impl<E: Dtype> UnaryKernel<super::TanhKernelOp, E> for Webgpu {
         todo!()
     }
 }
-