Lots of updates including some stack of command buffers.

10 files changed, 537 insertions, 117 deletions

diff --git a/candle-core/src/metal_backend.rs b/candle-core/src/metal_backend.rs
index 12f56d50..4354422c 100644
--- a/candle-core/src/metal_backend.rs
+++ b/candle-core/src/metal_backend.rs
@@ -38,7 +38,8 @@ impl From<String> for MetalError {
 pub struct MetalDevice {
     device: metal::Device,
     command_queue: metal::CommandQueue,
-    command_buffer: Arc<RwLock<metal::CommandBuffer>>,
+    command_buffers: Arc<RwLock<Vec<metal::CommandBuffer>>>,
+    command_buffer_index: Arc<RwLock<usize>>,
     kernels: Arc<candle_metal_kernels::Kernels>,
     buffers: Arc<RwLock<HashMap<(NSUInteger, MTLResourceOptions), Vec<Arc<Buffer>>>>>,
 }
@@ -70,38 +71,69 @@ impl MetalDevice {
         &self.command_queue
     }
 
-    pub fn command_buffer(&self) -> std::sync::RwLockReadGuard<CommandBuffer> {
-        self.command_buffer.try_read().unwrap()
-    }
-
-    pub fn commit(&self) {
-        let mut old = self.command_buffer.try_write().unwrap();
-        match old.status() {
-            metal::MTLCommandBufferStatus::NotEnqueued
-            | metal::MTLCommandBufferStatus::Enqueued => {
-                old.commit();
-                let command_buffer = self.command_queue.new_command_buffer().to_owned();
-                *old = command_buffer;
+    pub fn command_buffer(&self) -> CommandBuffer {
+        let mut command_buffers = self.command_buffers.try_write().unwrap();
+        let mut index = self.command_buffer_index.try_write().unwrap();
+        let n = command_buffers.len();
+        if *index == n {
+            // todo!("Cycle buffers");
+            for i in 0..n {
+                let command_buffer = &command_buffers[i];
+                match command_buffer.status() {
+                    metal::MTLCommandBufferStatus::Committed
+                    | metal::MTLCommandBufferStatus::Scheduled => {
+                        // println!("Wait during cycling {i}");
+                        // println!("Command {i} / {n}: {:?}", command_buffer.status());
+                        command_buffer.wait_until_completed();
+                    }
+                    metal::MTLCommandBufferStatus::Completed => {}
+                    _ => {
+                        panic!("Command buffer {i} not committed during cycling");
+                    }
+                }
             }
-            _ => {}
+            let new_buffers = (0..n)
+                .map(|i| {
+                    // println!("Creating command buffer {i}");
+                    let command_buffer = self.command_queue.new_command_buffer().to_owned();
+                    command_buffer.enqueue();
+                    command_buffer
+                })
+                .collect();
+            *command_buffers = new_buffers;
+            *index = 0;
+            // println!("Reset");
         }
+        // println!("Giving buffer {} / {n}", *index);
+        let out = &command_buffers[*index];
+        assert_eq!(out.status(), metal::MTLCommandBufferStatus::Enqueued);
+        *index += 1;
+        out.to_owned()
     }
 
     pub fn wait_until_completed(&self) {
-        let mut old = self.command_buffer.try_write().unwrap();
-        match old.status() {
-            metal::MTLCommandBufferStatus::NotEnqueued
-            | metal::MTLCommandBufferStatus::Enqueued => {
-                old.commit();
-                old.wait_until_completed();
+        let command_buffers = self.command_buffers.try_write().unwrap();
+        let index = self.command_buffer_index.try_write().unwrap();
+        let n = command_buffers.len();
+        // for i in 0..*index {
+        //     let command_buffer = &command_buffers[i];
+        //     println!("Command {i} / {n}: {:?}", command_buffer.status());
+        // }
+        for i in 0..*index {
+            let command_buffer = &command_buffers[i];
+            match command_buffer.status() {
+                metal::MTLCommandBufferStatus::Committed
+                | metal::MTLCommandBufferStatus::Scheduled => {}
+                metal::MTLCommandBufferStatus::Completed => {}
+                _ => {
+                    panic!("Command buffer not committed");
+                }
             }
-            metal::MTLCommandBufferStatus::Committed | metal::MTLCommandBufferStatus::Scheduled => {
-                old.wait_until_completed();
-            }
-            _ => {}
+            // println!("Wait {i}");
+            command_buffer.wait_until_completed();
+            // println!("Ok {i}");
+            // command_buffer.wait_until_completed();
         }
-        let command_buffer = self.command_queue.new_command_buffer().to_owned();
-        *old = command_buffer;
     }
 
     pub fn kernels(&self) -> &Kernels {
@@ -112,28 +144,40 @@ impl MetalDevice {
         &self.device
     }
 
-    pub fn new_buffer(&self, element_count: usize, dtype: DType) -> Arc<Buffer> {
+    pub fn new_buffer(&self, element_count: usize, dtype: DType, name: &str) -> Arc<Buffer> {
         let size = (element_count * dtype.size_in_bytes()) as NSUInteger;
-        self._new_buffer(size, MTLResourceOptions::StorageModePrivate)
+        self._new_buffer(size, MTLResourceOptions::StorageModePrivate, name)
     }
 
-    fn _new_buffer(&self, size: NSUInteger, option: MTLResourceOptions) -> Arc<Buffer> {
+    fn _new_buffer(&self, size: NSUInteger, option: MTLResourceOptions, name: &str) -> Arc<Buffer> {
+        // println!("Creating new buffer {name}");
         let mut buffers = self.buffers.try_write().unwrap();
         let subbuffers = buffers.entry((size, option)).or_insert(vec![]);
 
         for sub in &mut *subbuffers {
             if Arc::strong_count(sub) == 1 {
-                return sub.clone();
+                // println!("Reusing tensor {size} {name}");
+                // return sub.clone();
             }
         }
         let new_buffer = self.device.new_buffer(size as NSUInteger, option);
         let new_buffer = Arc::new(new_buffer);
-        subbuffers.push(new_buffer.clone());
+        // subbuffers.push(new_buffer.clone());
+        // println!("Created tensor {size} {name}");
+        for subbuffers in buffers.values_mut() {
+            let newbuffers = subbuffers
+                .iter()
+                .filter(|s| Arc::strong_count(s) > 1)
+                .map(|s| Arc::clone(s))
+                .collect();
+            *subbuffers = newbuffers;
+        }
+
         new_buffer
     }
 
     pub fn new_buffer_managed(&self, size: NSUInteger) -> Arc<Buffer> {
-        self._new_buffer(size, MTLResourceOptions::StorageModeManaged)
+        self._new_buffer(size, MTLResourceOptions::StorageModeManaged, "managed")
     }
 
     pub fn new_buffer_with_data<T>(&self, data: &[T]) -> Arc<Buffer> {
@@ -143,13 +187,20 @@ impl MetalDevice {
             size,
             metal::MTLResourceOptions::StorageModeManaged,
         );
-        let real = self._new_buffer(size, metal::MTLResourceOptions::StorageModePrivate);
-        {
-            let command = self.command_buffer();
-            let blit = command.new_blit_command_encoder();
-            blit.copy_from_buffer(&tmp, 0, &real, 0, tmp.length());
-            blit.end_encoding();
-        }
+        let real = self._new_buffer(
+            size,
+            metal::MTLResourceOptions::StorageModePrivate,
+            "with_data",
+        );
+        let command = self.command_buffer();
+        let blit = command.new_blit_command_encoder();
+        blit.copy_from_buffer(&tmp, 0, &real, 0, tmp.length());
+        blit.end_encoding();
+        command.commit();
+        real.did_modify_range(metal::NSRange::new(0, real.length()));
+        // println!("Command {:?}", command.status());
+
+        // self.commit();
         // This is necessary, for mmaped safetensors
         // Because of the unsafe slice cast we're doing.
         // The slice might not live long enough for metal
@@ -169,7 +220,7 @@ impl MetalDevice {
         dtype: DType,
     ) -> Result<(Matrix, Arc<Buffer>)> {
         let elem_count = (b * m * n) as usize;
-        let out_buffer = self.new_buffer(elem_count, dtype);
+        let out_buffer = self.new_buffer(elem_count, dtype, "matrix");
 
         let result_descriptor =
             MatrixDescriptor::init_multiple(m, n, b, n * size, m * n * size, type_id);
@@ -241,13 +292,18 @@ impl BackendStorage for MetalStorage {
                 self.dtype
             );
         }
-
+        self.device.wait_until_completed();
+        self.buffer
+            .did_modify_range(metal::NSRange::new(0, self.buffer.length()));
         let buffer = self.device.new_buffer_managed(self.buffer.length());
-        let command_buffer = self.device.command_buffer();
-        let blit = command_buffer.new_blit_command_encoder();
-        blit.copy_from_buffer(&self.buffer, 0, &buffer, 0, self.buffer.length());
-        blit.end_encoding();
-        drop(command_buffer);
+        {
+            let command_buffer = self.device.command_buffer();
+            let blit = command_buffer.new_blit_command_encoder();
+            blit.copy_from_buffer(&self.buffer, 0, &buffer, 0, self.buffer.length());
+            blit.end_encoding();
+            command_buffer.commit();
+            buffer.did_modify_range(metal::NSRange::new(0, buffer.length()));
+        }
         self.device.wait_until_completed();
 
         match self.dtype {
@@ -256,7 +312,11 @@ impl BackendStorage for MetalStorage {
             DType::I64 => Ok(CpuStorage::I64(buffer.read_to_vec(length / size))),
             DType::F16 => Ok(CpuStorage::F16(buffer.read_to_vec(length / size))),
             DType::BF16 => Ok(CpuStorage::BF16(buffer.read_to_vec(length / size))),
-            DType::F32 => Ok(CpuStorage::F32(buffer.read_to_vec(length / size))),
+            DType::F32 => {
+                let vec = buffer.read_to_vec(length / size);
+                // println!("Got back {:?}", &vec[..1]);
+                Ok(CpuStorage::F32(vec))
+            }
             DType::F64 => Ok(CpuStorage::F64(buffer.read_to_vec(length / size))),
         }
     }
@@ -268,7 +328,7 @@ impl BackendStorage for MetalStorage {
         let el = shape.elem_count();
         let dtype = self.dtype;
 
-        let buffer = device.new_buffer(el, self.dtype);
+        let buffer = device.new_buffer(el, self.dtype, "affine");
         let command_buffer = self.device.command_buffer();
         if layout.is_contiguous() && layout.start_offset() == 0 {
             let name = match self.dtype {
@@ -309,15 +369,111 @@ impl BackendStorage for MetalStorage {
             )
             .map_err(MetalError::from)?;
         }
+        command_buffer.commit();
+        buffer.did_modify_range(metal::NSRange::new(0, buffer.length()));
         Ok(Self::new(buffer, device.clone(), dtype))
     }
 
-    fn powf(&self, _: &Layout, _: f64) -> Result<Self> {
-        crate::bail!("powf metal")
+    fn powf(&self, layout: &Layout, pow: f64) -> Result<Self> {
+        let device = self.device().clone();
+
+        let shape = layout.shape();
+        let el = shape.elem_count();
+        let dtype = self.dtype;
+
+        let buffer = device.new_buffer(el, self.dtype, "powf");
+        let command_buffer = self.device.command_buffer();
+        if layout.is_contiguous() && layout.start_offset() == 0 {
+            let name = match self.dtype {
+                DType::F32 => "powf_float",
+                DType::F16 => "powf_half",
+                dtype => crate::bail!("Powf {dtype:?}"),
+            };
+            candle_metal_kernels::call_powf(
+                &device.device,
+                &command_buffer,
+                &device.kernels,
+                name,
+                el,
+                &self.buffer,
+                &buffer,
+                pow as f32,
+            )
+            .map_err(MetalError::from)?;
+        } else {
+            let name = match self.dtype {
+                DType::F32 => "powf_float_strided",
+                DType::F16 => "powf_half_strided",
+                dtype => crate::bail!("Powf {dtype:?}"),
+            };
+            candle_metal_kernels::call_powf_strided(
+                &device.device,
+                &command_buffer,
+                &device.kernels,
+                name,
+                layout.dims(),
+                &self.buffer,
+                layout.stride(),
+                layout.start_offset() * dtype.size_in_bytes(),
+                &buffer,
+                pow as f32,
+            )
+            .map_err(MetalError::from)?;
+        }
+        command_buffer.commit();
+        buffer.did_modify_range(metal::NSRange::new(0, buffer.length()));
+        Ok(Self::new(buffer, device.clone(), dtype))
     }
 
-    fn elu(&self, _: &Layout, _: f64) -> Result<Self> {
-        crate::bail!("elu metal")
+    fn elu(&self, layout: &Layout, alpha: f64) -> Result<Self> {
+        let device = self.device().clone();
+
+        let shape = layout.shape();
+        let el = shape.elem_count();
+        let dtype = self.dtype;
+
+        let buffer = device.new_buffer(el, self.dtype, "elu");
+        let command_buffer = self.device.command_buffer();
+        if layout.is_contiguous() && layout.start_offset() == 0 {
+            let name = match self.dtype {
+                DType::F32 => "elu_float",
+                DType::F16 => "elu_half",
+                dtype => crate::bail!("Powf {dtype:?}"),
+            };
+            candle_metal_kernels::call_elu(
+                &device.device,
+                &command_buffer,
+                &device.kernels,
+                name,
+                el,
+                &self.buffer,
+                &buffer,
+                alpha as f32,
+            )
+            .map_err(MetalError::from)?;
+        } else {
+            let name = match self.dtype {
+                DType::F32 => "elu_float_strided",
+                DType::F16 => "elu_half_strided",
+                dtype => crate::bail!("Powf {dtype:?}"),
+            };
+            candle_metal_kernels::call_elu_strided(
+                &device.device,
+                &command_buffer,
+                &device.kernels,
+                name,
+                layout.dims(),
+                &self.buffer,
+                layout.stride(),
+                layout.start_offset() * dtype.size_in_bytes(),
+                &buffer,
+                alpha as f32,
+            )
+            .map_err(MetalError::from)?;
+        }
+        command_buffer.commit();
+        buffer.did_modify_range(metal::NSRange::new(0, buffer.length()));
+        Ok(Self::new(buffer, device.clone(), dtype))
     }
 
     fn reduce_op(&self, op: ReduceOp, layout: &Layout, sum_dims: &[usize]) -> Result<Self> {
@@ -365,7 +521,7 @@ impl BackendStorage for MetalStorage {
         if dtype == DType::U32 {
             crate::bail!("Implement return index reduce op");
         }
-        let buffer = device.new_buffer(dst_el, dtype);
+        let buffer = device.new_buffer(dst_el, dtype, "reduce");
         let command_buffer = self.device.command_buffer();
         candle_metal_kernels::call_reduce_contiguous(
             &device.device,
@@ -379,6 +535,8 @@ impl BackendStorage for MetalStorage {
             &buffer,
         )
         .map_err(MetalError::from)?;
+        command_buffer.commit();
+        buffer.did_modify_range(metal::NSRange::new(0, buffer.length()));
 
         Ok(Self::new(buffer, device, dtype))
     }
@@ -391,7 +549,7 @@ impl BackendStorage for MetalStorage {
         let device = self.device();
         let shape = layout.shape();
         let el_count = shape.elem_count();
-        let buffer = device.new_buffer(el_count, dtype);
+        let buffer = device.new_buffer(el_count, dtype, "todtype");
         let command_buffer = device.command_buffer();
         if layout.is_contiguous() {
             let kernel_name = match (self.dtype, dtype) {
@@ -435,6 +593,8 @@ impl BackendStorage for MetalStorage {
             )
             .map_err(MetalError::from)?;
         }
+        command_buffer.commit();
+        buffer.did_modify_range(metal::NSRange::new(0, buffer.length()));
 
         Ok(Self::new(buffer, device.clone(), dtype))
     }
@@ -444,7 +604,7 @@ impl BackendStorage for MetalStorage {
         let dtype = self.dtype;
         let shape = layout.shape();
         let el_count = shape.elem_count();
-        let buffer = device.new_buffer(el_count, dtype);
+        let buffer = device.new_buffer(el_count, dtype, B::KERNEL);
         let command_buffer = device.command_buffer();
         if layout.is_contiguous() && layout.start_offset() == 0 {
             use candle_metal_kernels::unary::contiguous;
@@ -463,6 +623,7 @@ impl BackendStorage for MetalStorage {
                 ("uceil", DType::F32) => contiguous::ceil::FLOAT,
                 ("ufloor", DType::F32) => contiguous::floor::FLOAT,
                 ("uround", DType::F32) => contiguous::round::FLOAT,
+                ("utanh", DType::F32) => contiguous::tanh::FLOAT,
                 ("ucos", DType::F16) => contiguous::cos::HALF,
                 ("usin", DType::F16) => contiguous::sin::HALF,
                 ("usqr", DType::F16) => contiguous::sqr::HALF,
@@ -476,6 +637,7 @@ impl BackendStorage for MetalStorage {
                 ("uceil", DType::F16) => contiguous::ceil::HALF,
                 ("ufloor", DType::F16) => contiguous::floor::HALF,
                 ("uround", DType::F16) => contiguous::round::HALF,
+                ("utanh", DType::F16) => contiguous::tanh::HALF,
                 (name, dtype) => crate::bail!("Match {name} - {dtype:?}"),
             };
             candle_metal_kernels::call_unary_contiguous(
@@ -534,8 +696,8 @@ impl BackendStorage for MetalStorage {
             .map_err(MetalError::from)?;
         }
         command_buffer.set_label("unary");
-        drop(command_buffer);
-        self.device.commit();
+        command_buffer.commit();
+        buffer.did_modify_range(metal::NSRange::new(0, buffer.length()));
         Ok(Self::new(buffer, device.clone(), dtype))
     }
 
@@ -549,30 +711,31 @@ impl BackendStorage for MetalStorage {
         let dtype = self.dtype;
         let shape = lhs_l.shape();
         let el_count = shape.elem_count();
-        let buffer = device.new_buffer(el_count, dtype);
+        let buffer = device.new_buffer(el_count, dtype, B::KERNEL);
         let command_buffer = device.command_buffer();
         if (lhs_l.is_contiguous() && lhs_l.start_offset() == 0)
             && (rhs_l.is_contiguous() && rhs_l.start_offset() == 0)
+            && &B::KERNEL[..1] != "b"
         {
             use candle_metal_kernels::binary::contiguous;
 
             let kernel_name = match (B::KERNEL, dtype) {
                 ("add", DType::F32) => contiguous::add::FLOAT,
-                ("badd", DType::F32) => contiguous::add::FLOAT,
+                // ("badd", DType::F32) => contiguous::add::FLOAT,
                 ("sub", DType::F32) => contiguous::sub::FLOAT,
-                ("bsub", DType::F32) => contiguous::sub::FLOAT,
+                //("bsub", DType::F32) => contiguous::sub::FLOAT,
                 ("mul", DType::F32) => contiguous::mul::FLOAT,
-                ("bmul", DType::F32) => contiguous::mul::FLOAT,
+                // ("bmul", DType::F32) => contiguous::mul::FLOAT,
                 ("div", DType::F32) => contiguous::div::FLOAT,
-                ("bdiv", DType::F32) => contiguous::div::FLOAT,
+                // ("bdiv", DType::F32) => contiguous::div::FLOAT,
                 ("add", DType::F16) => contiguous::add::HALF,
-                ("badd", DType::F16) => contiguous::add::HALF,
+                // ("badd", DType::F16) => contiguous::add::HALF,
                 ("sub", DType::F16) => contiguous::sub::HALF,
-                ("bsub", DType::F16) => contiguous::sub::HALF,
+                // ("bsub", DType::F16) => contiguous::sub::HALF,
                 ("mul", DType::F16) => contiguous::mul::HALF,
-                ("bmul", DType::F16) => contiguous::mul::HALF,
+                // ("bmul", DType::F16) => contiguous::mul::HALF,
                 ("div", DType::F16) => contiguous::div::HALF,
-                ("bdiv", DType::F16) => contiguous::div::HALF,
+                // ("bdiv", DType::F16) => contiguous::div::HALF,
                 (name, dtype) => crate::bail!("Match {name} - {dtype:?}"),
             };
             candle_metal_kernels::call_binary_contiguous(
@@ -617,8 +780,8 @@ impl BackendStorage for MetalStorage {
             .map_err(MetalError::from)?;
         }
         command_buffer.set_label("binary");
-        drop(command_buffer);
-        self.device.commit();
+        command_buffer.commit();
+        buffer.did_modify_range(metal::NSRange::new(0, buffer.length()));
         Ok(Self::new(buffer, device.clone(), dtype))
     }
 
@@ -635,7 +798,7 @@ impl BackendStorage for MetalStorage {
         let dims = shape.dims();
         let el = shape.elem_count();
         let dtype = t.dtype;
-        let buffer = self.device.new_buffer(el, dtype);
+        let buffer = self.device.new_buffer(el, dtype, "where");
         let command_buffer = self.device.command_buffer();
         if t.dtype() != f.dtype() {
             crate::bail!("Invalid ternary different dtypes for values");
@@ -663,6 +826,8 @@ impl BackendStorage for MetalStorage {
             &buffer,
         )
         .map_err(MetalError::from)?;
+        command_buffer.commit();
+        buffer.did_modify_range(metal::NSRange::new(0, buffer.length()));
         Ok(Self::new(buffer, device, dtype))
     }
 
@@ -752,7 +917,7 @@ impl BackendStorage for MetalStorage {
         let dst_el = ids_el * left_size * right_size;
         let dtype = self.dtype;
         let device = self.device();
-        let buffer = device.new_buffer(dst_el, dtype);
+        let buffer = device.new_buffer(dst_el, dtype, "index_select");
         let name = match (ids.dtype, self.dtype) {
             (DType::U32, DType::F32) => "is_u32_f32",
             (DType::U32, DType::F16) => "is_u32_f16",
@@ -772,6 +937,8 @@ impl BackendStorage for MetalStorage {
             &buffer,
         )
         .map_err(MetalError::from)?;
+        command_buffer.commit();
+        buffer.did_modify_range(metal::NSRange::new(0, buffer.length()));
         Ok(Self::new(buffer, device.clone(), dtype))
     }
 
@@ -887,9 +1054,9 @@ impl BackendStorage for MetalStorage {
             &result_matrix,
         );
         command_buffer.set_label("matmul");
-        drop(command_buffer);
-        self.device.commit();
-
+        command_buffer.commit();
+        out_buffer.did_modify_range(metal::NSRange::new(0, out_buffer.length()));
+        // println!("========= MATMUL {:?}", Arc::strong_count(&out_buffer));
         Ok(Self::new(out_buffer, self.device.clone(), self.dtype()))
     }
 
@@ -899,14 +1066,9 @@ impl BackendStorage for MetalStorage {
             command_buffer.set_label("copy_contiguous");
             let blit = command_buffer.new_blit_command_encoder();
             let src_offset = (src_l.start_offset() * self.dtype.size_in_bytes()) as NSUInteger;
+            let length = (src_l.shape().elem_count() * self.dtype.size_in_bytes()) as NSUInteger;
             let dst_offset = (dst_offset * dst.dtype().size_in_bytes()) as NSUInteger;
-            blit.copy_from_buffer(
-                &self.buffer,
-                src_offset,
-                dst.buffer(),
-                dst_offset,
-                self.buffer.length() - src_offset,
-            );
+            blit.copy_from_buffer(&self.buffer, src_offset, dst.buffer(), dst_offset, length);
             blit.end_encoding();
         } else {
             let src_shape = src_l.shape();
@@ -937,8 +1099,9 @@ impl BackendStorage for MetalStorage {
             .map_err(MetalError::from)?;
             command_buffer.set_label("copy_strided");
         }
-        drop(command_buffer);
-        self.device.commit();
+        command_buffer.commit();
+        dst.buffer
+            .did_modify_range(metal::NSRange::new(0, dst.buffer.length()));
         Ok(())
     }
 }
@@ -968,22 +1131,22 @@ impl MetalStorage {
     ) -> Result<Matrix> {
         let key = (b, m, n, transpose, size, offset, type_id);
 
-        let mut matrices = self.matrices.try_write().unwrap();
-        if let Some(matrix) = matrices.get(&key) {
-            Ok(matrix.clone())
+        // let mut matrices = self.matrices.try_write().unwrap();
+        // if let Some(matrix) = matrices.get(&key) {
+        //     Ok(matrix.clone())
+        // } else {
+        let descriptor = if transpose {
+            MatrixDescriptor::init_multiple(n, m, b, m * size, m * n * size, type_id)
         } else {
-            let descriptor = if transpose {
-                MatrixDescriptor::init_multiple(n, m, b, m * size, m * n * size, type_id)
-            } else {
-                MatrixDescriptor::init_multiple(m, n, b, n * size, m * n * size, type_id)
-            };
-            let matrix = Matrix::init_with_buffer_descriptor(&self.buffer, offset, &descriptor)
-                .ok_or_else(|| {
-                    MetalError::from("Failed to create matrix multiplication kernel".to_string())
-                })?;
-            matrices.insert(key, matrix.clone());
-            Ok(matrix)
-        }
+            MatrixDescriptor::init_multiple(m, n, b, n * size, m * n * size, type_id)
+        };
+        let matrix = Matrix::init_with_buffer_descriptor(&self.buffer, offset, &descriptor)
+            .ok_or_else(|| {
+                MetalError::from("Failed to create matrix multiplication kernel".to_string())
+            })?;
+        // matrices.insert(key, matrix.clone());
+        Ok(matrix)
+        // }
     }
 }
 
@@ -991,16 +1154,28 @@ impl BackendDevice for MetalDevice {
     type Storage = MetalStorage;
 
     fn new(ordinal: usize) -> Result<Self> {
+        // println!("CREATING DEVICE");
         let device = metal::Device::all().swap_remove(ordinal);
 
+        let n = 50;
         let command_queue = device.new_command_queue();
-        let command_buffer = Arc::new(RwLock::new(command_queue.new_command_buffer().to_owned()));
+
+        let command_buffers = (0..n)
+            .map(|_| {
+                let command_buffer = command_queue.new_command_buffer().to_owned();
+                command_buffer.enqueue();
+                command_buffer
+            })
+            .collect();
+        let command_buffers = Arc::new(RwLock::new(command_buffers));
+        let command_buffer_index = Arc::new(RwLock::new(0));
         let kernels = Arc::new(Kernels::new());
         let buffers = Arc::new(RwLock::new(HashMap::new()));
         Ok(Self {
             device,
             command_queue,
-            command_buffer,
+            command_buffers,
+            command_buffer_index,
             buffers,
             kernels,
         })
@@ -1021,7 +1196,21 @@ impl BackendDevice for MetalDevice {
     }
 
     fn zeros_impl(&self, shape: &Shape, dtype: DType) -> Result<MetalStorage> {
-        let buffer = self.new_buffer(shape.elem_count(), dtype);
+        let buffer = self.new_buffer(shape.elem_count(), dtype, "zeros");
+        let command_buffer = self.command_buffer();
+        let blit = command_buffer.new_blit_command_encoder();
+        blit.fill_buffer(
+            &buffer,
+            metal::NSRange {
+                location: 0,
+                length: buffer.length(),
+            },
+            0,
+        );
+        blit.end_encoding();
+
+        command_buffer.commit();
+        buffer.did_modify_range(metal::NSRange::new(0, buffer.length()));
         Ok(MetalStorage::new(buffer, self.clone(), dtype))
     }
 
diff --git a/candle-core/src/tensor.rs b/candle-core/src/tensor.rs
index 87323a84..73a0cc7a 100644
--- a/candle-core/src/tensor.rs
+++ b/candle-core/src/tensor.rs
@@ -1864,7 +1864,7 @@ impl Tensor {
                 }
                 (Storage::Cuda(storage), Device::Cpu) => Storage::Cpu(storage.to_cpu_storage()?),
                 (Storage::Metal(storage), Device::Cpu) => {
-                    println!("{storage:?} - {:?}", storage.to_cpu_storage()?);
+                    // println!("{storage:?} - {:?}", storage.to_cpu_storage()?);
                     Storage::Cpu(storage.to_cpu_storage()?)
                 }
                 (Storage::Cuda(storage), Device::Cuda(cuda)) => {
diff --git a/candle-metal-kernels/src/affine.metal b/candle-metal-kernels/src/affine.metal
index a08bfbc0..18adb457 100644
--- a/candle-metal-kernels/src/affine.metal
+++ b/candle-metal-kernels/src/affine.metal
@@ -29,9 +29,7 @@ kernel void FN_NAME( \
     if (id >= dim) { \
         return; \
     } \
-    const TYPENAME m = TYPENAME(mul); \
-    const TYPENAME a = TYPENAME(add); \
-    output[id] = input[id] * m + a; \
+    output[id] = TYPENAME(float(input[id]) * mul + add); \
 } \
 kernel void FN_NAME##_strided( \
     constant size_t &dim, \
@@ -47,15 +45,80 @@ kernel void FN_NAME##_strided( \
     if (id >= dim) { \
         return; \
     } \
-    const TYPENAME m = TYPENAME(mul); \
-    const TYPENAME a = TYPENAME(add); \
-    output[id] = input[get_strided_index(id, num_dims, dims, strides)] * m + a; \
+    output[id] = TYPENAME(float(input[get_strided_index(id, num_dims, dims, strides)]) * mul + add); \
+}
+
+#define POWF(FN_NAME, TYPENAME) \
+kernel void FN_NAME( \
+    constant size_t &dim, \
+    constant float &mul, \
+    device const TYPENAME *input,  \
+    device TYPENAME *output, \
+    uint id [[ thread_position_in_grid ]] \
+) { \
+    if (id >= dim) { \
+        return; \
+    } \
+    output[id] = TYPENAME(pow(input[id], TYPENAME(mul))); \
 } \
+kernel void FN_NAME##_strided( \
+    constant size_t &dim, \
+    constant size_t &num_dims, \
+    constant size_t *dims, \
+    constant size_t *strides, \
+    constant float &mul, \
+    device const TYPENAME *input,  \
+    device TYPENAME *output, \
+    uint id [[ thread_position_in_grid ]] \
+) { \
+    if (id >= dim) { \
+        return; \
+    } \
+    output[id] = TYPENAME(pow(input[get_strided_index(id, num_dims, dims, strides)], TYPENAME(mul))); \
+}
+
+#define ELU(FN_NAME, TYPENAME) \
+kernel void FN_NAME( \
+    constant size_t &dim, \
+    constant float &mul, \
+    device const TYPENAME *input,  \
+    device TYPENAME *output, \
+    uint id [[ thread_position_in_grid ]] \
+) { \
+    if (id >= dim) { \
+        return; \
+    } \
+    const TYPENAME x = input[id]; \
+    output[id] = TYPENAME((x > 0)?x: mul * exp(x - 1)); \
+} \
+kernel void FN_NAME##_strided( \
+    constant size_t &dim, \
+    constant size_t &num_dims, \
+    constant size_t *dims, \
+    constant size_t *strides, \
+    constant float &mul, \
+    device const TYPENAME *input,  \
+    device TYPENAME *output, \
+    uint id [[ thread_position_in_grid ]] \
+) { \
+    if (id >= dim) { \
+        return; \
+    } \
+    const TYPENAME x = input[get_strided_index(id, num_dims, dims, strides)]; \
+    output[id] = TYPENAME((x > 0)?x: mul * exp(x - 1)); \
+} \
+
 
 AFFINE(affine_float, float)
 AFFINE(affine_half, half)
+POWF(powf_float, float)
+POWF(powf_half, half)
+ELU(elu_float, float)
+ELU(elu_half, half)
 
 
 #if __METAL_VERSION__ >= 310
 AFFINE(affine_bfloat, bfloat);
+POWF(powf_bfloat, bfloat);
+ELU(elu_bfloat, bfloat);
 #endif
diff --git a/candle-metal-kernels/src/lib.rs b/candle-metal-kernels/src/lib.rs
index a0b852a4..237bd858 100644
--- a/candle-metal-kernels/src/lib.rs
+++ b/candle-metal-kernels/src/lib.rs
@@ -153,7 +153,7 @@ macro_rules! ops{
 }
 
 pub mod unary {
-    ops!(cos, sin, exp, sqr, sqrt, neg, log, gelu, ceil, floor, round, erf, gelu_erf);
+    ops!(cos, sin, exp, sqr, sqrt, neg, log, gelu, ceil, floor, round, erf, gelu_erf, tanh);
 }
 pub mod binary {
     ops!(add, sub, mul, div);
@@ -616,6 +616,130 @@ pub fn call_affine_strided(
     Ok(())
 }
 
+#[allow(clippy::too_many_arguments)]
+pub fn call_powf(
+    device: &Device,
+    command_buffer: &CommandBufferRef,
+    kernels: &Kernels,
+    name: &'static str,
+    size: usize,
+    input: &Buffer,
+    output: &Buffer,
+    mul: f32,
+) -> Result<(), MetalKernelError> {
+    let pipeline = kernels.load_pipeline(device, Source::Affine, name)?;
+
+    let encoder = command_buffer.new_compute_command_encoder();
+    encoder.set_compute_pipeline_state(&pipeline);
+
+    set_params!(encoder, (size, mul, input, output));
+
+    let (thread_group_count, thread_group_size) = linear_split(&pipeline, size);
+    encoder.dispatch_thread_groups(thread_group_count, thread_group_size);
+    encoder.end_encoding();
+    Ok(())
+}
+
+#[allow(clippy::too_many_arguments)]
+pub fn call_powf_strided(
+    device: &Device,
+    command_buffer: &CommandBufferRef,
+    kernels: &Kernels,
+    name: &'static str,
+    shape: &[usize],
+    input: &Buffer,
+    input_stride: &[usize],
+    input_offset: usize,
+    output: &Buffer,
+    mul: f32,
+) -> Result<(), MetalKernelError> {
+    let pipeline = kernels.load_pipeline(device, Source::Affine, name)?;
+    let size: usize = shape.iter().product();
+
+    let encoder = command_buffer.new_compute_command_encoder();
+    encoder.set_compute_pipeline_state(&pipeline);
+
+    set_params!(
+        encoder,
+        (
+            size,
+            shape.len(),
+            shape,
+            input_stride,
+            mul,
+            (input, input_offset),
+            output
+        )
+    );
+
+    let (thread_group_count, thread_group_size) = linear_split(&pipeline, size);
+    encoder.dispatch_thread_groups(thread_group_count, thread_group_size);
+    encoder.end_encoding();
+    Ok(())
+}
+
+#[allow(clippy::too_many_arguments)]
+pub fn call_elu(
+    device: &Device,
+    command_buffer: &CommandBufferRef,
+    kernels: &Kernels,
+    name: &'static str,
+    size: usize,
+    input: &Buffer,
+    output: &Buffer,
+    mul: f32,
+) -> Result<(), MetalKernelError> {
+    let pipeline = kernels.load_pipeline(device, Source::Affine, name)?;
+
+    let encoder = command_buffer.new_compute_command_encoder();
+    encoder.set_compute_pipeline_state(&pipeline);
+
+    set_params!(encoder, (size, mul, input, output));
+
+    let (thread_group_count, thread_group_size) = linear_split(&pipeline, size);
+    encoder.dispatch_thread_groups(thread_group_count, thread_group_size);
+    encoder.end_encoding();
+    Ok(())
+}
+
+#[allow(clippy::too_many_arguments)]
+pub fn call_elu_strided(
+    device: &Device,
+    command_buffer: &CommandBufferRef,
+    kernels: &Kernels,
+    name: &'static str,
+    shape: &[usize],
+    input: &Buffer,
+    input_stride: &[usize],
+    input_offset: usize,
+    output: &Buffer,
+    mul: f32,
+) -> Result<(), MetalKernelError> {
+    let pipeline = kernels.load_pipeline(device, Source::Affine, name)?;
+    let size: usize = shape.iter().product();
+
+    let encoder = command_buffer.new_compute_command_encoder();
+    encoder.set_compute_pipeline_state(&pipeline);
+
+    set_params!(
+        encoder,
+        (
+            size,
+            shape.len(),
+            shape,
+            input_stride,
+            mul,
+            (input, input_offset),
+            output
+        )
+    );
+
+    let (thread_group_count, thread_group_size) = linear_split(&pipeline, size);
+    encoder.dispatch_thread_groups(thread_group_count, thread_group_size);
+    encoder.end_encoding();
+    Ok(())
+}
+
 pub fn call_where_cond_strided(
     device: &Device,
     command_buffer: &CommandBufferRef,
diff --git a/candle-metal-kernels/src/reduce.metal b/candle-metal-kernels/src/reduce.metal
index 867877fb..3a402427 100644
--- a/candle-metal-kernels/src/reduce.metal
+++ b/candle-metal-kernels/src/reduce.metal
@@ -18,7 +18,7 @@ METAL_FUNC uint get_strided_index(
     return strided_i;
 }
 
-constant int THREADGROUP_SIZE = 1024;
+constant int THREADGROUP_SIZE = 2048;
 
 # define REDUCE(FN, NAME, T) \
 kernel void NAME( \
diff --git a/candle-metal-kernels/src/unary.metal b/candle-metal-kernels/src/unary.metal
index 529162bd..765b14a5 100644
--- a/candle-metal-kernels/src/unary.metal
+++ b/candle-metal-kernels/src/unary.metal
@@ -69,7 +69,7 @@ kernel void FN_NAME( \
     if (thread_position_in_grid >= dim) { \
         return; \
     } \
-    output[thread_position_in_grid] = TYPENAME(FN(input[thread_position_in_grid])); \
+    output[thread_position_in_grid] = TYPENAME(FN(float(input[thread_position_in_grid]))); \
 }\
 kernel void FN_NAME_STRIDED( \
     constant size_t &dim, \
@@ -83,7 +83,7 @@ kernel void FN_NAME_STRIDED( \
     if (thread_position_in_grid >= dim) { \
         return; \
     } \
-    output[thread_position_in_grid] = TYPENAME(FN(input[get_strided_index(thread_position_in_grid, num_dims, dims, strides)])); \
+    output[thread_position_in_grid] = TYPENAME(FN(float(input[get_strided_index(thread_position_in_grid, num_dims, dims, strides)]))); \
 }
 
 #define UNARY_OP(NAME) \
@@ -107,6 +107,7 @@ UNARY_OP(floor)
 UNARY_OP(round)
 UNARY_OP(gelu_erf)
 UNARY_OP(erf)
+UNARY_OP(tanh)
 UNARY(id, float, copy_float, copy_float_strided)
 UNARY(id, half, copy_half, copy_half_strided)
 UNARY(id, uint8_t, copy_u8, copy_u8_strided)
@@ -126,6 +127,7 @@ BFLOAT_UNARY_OP(floor)
 BFLOAT_UNARY_OP(round)
 BFLOAT_UNARY_OP(gelu_erf)
 BFLOAT_UNARY_OP(erf)
+BFLOAT_UNARY_OP(tanh)
 
 UNARY(id, bfloat, copy_bfloat, copy_bfloat_strided)
 #endif
diff --git a/candle-nn/Cargo.toml b/candle-nn/Cargo.toml
index 45298907..03622752 100644
--- a/candle-nn/Cargo.toml
+++ b/candle-nn/Cargo.toml
@@ -19,6 +19,7 @@ num-traits = { workspace = true }
 rayon = { workspace = true }
 safetensors = { workspace = true }
 serde = { workspace = true }
+metal = { workspace = true, optional = true }
 candle-metal-kernels = { path = "../candle-metal-kernels", version = "0.3.0", optional = true }
 
 [dev-dependencies]
@@ -30,4 +31,4 @@ default = []
 accelerate = ["dep:accelerate-src", "candle/accelerate"]
 cuda = ["candle/cuda"]
 mkl = ["dep:intel-mkl-src", "candle/mkl"]
-metal = ["candle/metal", "dep:candle-metal-kernels"]
+metal = ["candle/metal", "dep:candle-metal-kernels", "dep:metal"]
diff --git a/candle-nn/src/ops.rs b/candle-nn/src/ops.rs
index 350bc663..14dd10de 100644
--- a/candle-nn/src/ops.rs
+++ b/candle-nn/src/ops.rs
@@ -226,7 +226,7 @@ impl candle::CustomOp1 for SoftmaxLastDim {
 
         let last_dim = layout.dims()[layout.shape().rank() - 1];
         let elem_count = layout.shape().elem_count();
-        let mut output = device.new_buffer(elem_count, storage.dtype());
+        let mut output = device.new_buffer(elem_count, storage.dtype(), "softmax");
         candle_metal_kernels::call_last_softmax(
             device.metal_device(),
             &command_buffer,
@@ -238,6 +238,8 @@ impl candle::CustomOp1 for SoftmaxLastDim {
             &mut output,
         )
         .unwrap();
+        command_buffer.commit();
+        output.did_modify_range(metal::NSRange::new(0, output.length()));
         let newstorage = candle::MetalStorage::new(output, device.clone(), storage.dtype());
         Ok((newstorage, layout.shape().clone()))
     }
diff --git a/candle-transformers/Cargo.toml b/candle-transformers/Cargo.toml
index af4e04b7..e72cab69 100644
--- a/candle-transformers/Cargo.toml
+++ b/candle-transformers/Cargo.toml
@@ -31,3 +31,4 @@ accelerate = ["dep:accelerate-src", "candle/accelerate", "candle-nn/accelerate"]
 cuda = ["candle/cuda", "candle-nn/cuda"]
 flash-attn = ["cuda", "dep:candle-flash-attn"]
 mkl = ["dep:intel-mkl-src", "candle/mkl", "candle-nn/mkl"]
+metal = ["candle/metal", "candle-nn/metal"]
diff --git a/candle-transformers/src/models/mixformer.rs b/candle-transformers/src/models/mixformer.rs
index e822ca14..c8dae511 100644
--- a/candle-transformers/src/models/mixformer.rs
+++ b/candle-transformers/src/models/mixformer.rs
@@ -142,10 +142,9 @@ impl RotaryEmbedding {
             .to_dtype(DType::F32)?
             .reshape((max_seq_len, 1))?;
         let freqs = t.matmul(&inv_freq)?;
-        Ok(Self {
-            sin: freqs.sin()?,
-            cos: freqs.cos()?,
-        })
+        let sin = freqs.sin()?;
+        let cos = freqs.cos()?;
+        Ok(Self { sin, cos })
     }
 
     fn apply_rotary_emb_qkv(
@@ -273,6 +272,10 @@ impl MHA {
     }
 
     fn forward(&mut self, xs: &Tensor, mask: Option<&Tensor>) -> Result<Tensor> {
+        let view = xs.to_string();
+        if view.contains("NaN") {
+            panic!("NaN");
+        }
         let _enter = self.span.enter();
         let (b_size, seq_len, _n_embd) = xs.dims3()?;
         let qkv = self
@@ -408,3 +411,38 @@ impl MixFormerSequentialForCausalLM {
         self.blocks.iter_mut().for_each(|b| b.clear_kv_cache())
     }
 }
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    #[test]
+    fn test_rotary() {
+        let dev = Device::new_metal(0).unwrap();
+        for i in 0..10000 {
+            let dim = 8;
+            let max_seq_len = 12;
+            let inv_freq: Vec<_> = (0..dim)
+                .step_by(2)
+                .map(|i| 1f32 / 10000f32.powf(i as f32 / dim as f32))
+                .collect();
+            let inv_freq_len = inv_freq.len();
+            let inv_freq = Tensor::from_vec(inv_freq, (1, inv_freq_len), &dev).unwrap();
+            let t = Tensor::arange(0u32, max_seq_len as u32, &dev)
+                .unwrap()
+                .to_dtype(DType::F32)
+                .unwrap()
+                .reshape((max_seq_len, 1))
+                .unwrap();
+            let x: f32 = t.i((1, 0)).unwrap().to_scalar().unwrap();
+            assert_eq!(x, 1.0);
+            let x: f32 = inv_freq.i((0, 1)).unwrap().to_scalar().unwrap();
+            assert_eq!(x, 0.1);
+            let freqs = t.matmul(&inv_freq).unwrap();
+            let x: f32 = freqs.i((1, 1)).unwrap().to_scalar().unwrap();
+            assert_eq!(x, 0.1);
+            let sin = freqs.sin().unwrap().contiguous().unwrap();
+            let x: f32 = sin.i((1, 1)).unwrap().to_scalar().unwrap();
+            assert_eq!(x, 0.099833414);
+        }
+    }
+}