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https://github.com/huggingface/candle.git
synced 2025-06-18 11:37:11 +00:00
Move more bits to the backend part.
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@ -68,7 +68,7 @@ impl CpuStorage {
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// same if it helps.
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// https://github.com/ggerganov/llama.cpp/blob/aacdbd40562684665b6f7b8ba6695b7a2088bbb0/ggml.c#L7895
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match (self, rhs) {
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(CpuStorage::F32(lhs), CpuStorage::F32(rhs)) => {
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(Self::F32(lhs), Self::F32(rhs)) => {
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let lhs_index = StridedIndex::new(shape.dims(), lhs_stride);
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let rhs_index = StridedIndex::new(shape.dims(), rhs_stride);
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let data = lhs_index
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@ -77,7 +77,7 @@ impl CpuStorage {
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.collect();
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Ok(Self::F32(data))
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}
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(CpuStorage::F64(lhs), CpuStorage::F64(rhs)) => {
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(Self::F64(lhs), Self::F64(rhs)) => {
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let lhs_index = StridedIndex::new(shape.dims(), lhs_stride);
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let rhs_index = StridedIndex::new(shape.dims(), rhs_stride);
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let data = lhs_index
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@ -96,4 +96,32 @@ impl CpuStorage {
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}
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}
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}
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pub(crate) fn ones_impl(shape: &Shape, dtype: DType) -> Self {
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let elem_count = shape.elem_count();
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match dtype {
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DType::F32 => {
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let data = vec![1f32; elem_count];
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Self::F32(data)
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}
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DType::F64 => {
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let data = vec![1f64; elem_count];
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Self::F64(data)
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}
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}
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}
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pub(crate) fn zeros_impl(shape: &Shape, dtype: DType) -> Self {
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let elem_count = shape.elem_count();
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match dtype {
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DType::F32 => {
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let data = vec![0f32; elem_count];
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Self::F32(data)
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}
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DType::F64 => {
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let data = vec![0f64; elem_count];
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Self::F64(data)
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}
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}
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}
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}
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@ -56,20 +56,7 @@ impl<S: crate::WithDType, const N: usize, const M: usize> NdArray for &[[S; N];
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impl Device {
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pub(crate) fn ones(&self, shape: &Shape, dtype: DType) -> Storage {
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match self {
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Device::Cpu => {
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let elem_count = shape.elem_count();
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let storage = match dtype {
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DType::F32 => {
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let data = vec![1f32; elem_count];
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CpuStorage::F32(data)
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}
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DType::F64 => {
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let data = vec![1f64; elem_count];
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CpuStorage::F64(data)
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}
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};
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Storage::Cpu(storage)
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}
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Device::Cpu => Storage::Cpu(CpuStorage::ones_impl(shape, dtype)),
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Device::Cuda { gpu_id: _ } => {
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todo!()
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}
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@ -78,20 +65,7 @@ impl Device {
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pub(crate) fn zeros(&self, shape: &Shape, dtype: DType) -> Storage {
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match self {
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Device::Cpu => {
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let elem_count = shape.elem_count();
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let storage = match dtype {
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DType::F32 => {
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let data = vec![0f32; elem_count];
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CpuStorage::F32(data)
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}
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DType::F64 => {
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let data = vec![0f64; elem_count];
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CpuStorage::F64(data)
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}
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};
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Storage::Cpu(storage)
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}
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Device::Cpu => Storage::Cpu(CpuStorage::zeros_impl(shape, dtype)),
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Device::Cuda { gpu_id: _ } => {
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todo!()
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}
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