mirror of
https://github.com/huggingface/candle.git
synced 2025-06-18 19:47:12 +00:00
Add the source offset when copying the data around.
This commit is contained in:
@ -91,16 +91,23 @@ fn binary_map<T: Copy, F: FnMut(T, T) -> T>(
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fn copy_strided_src_<T: Copy>(
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src: &[T],
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dst: &mut [T],
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dst_offset: usize,
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src_shape: &Shape,
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src_stride: &[usize],
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dst_offset: usize,
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src_offset: usize,
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) {
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let src = &src[src_offset..];
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if src_shape.is_contiguous(src_stride) {
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dst[dst_offset..].copy_from_slice(src)
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let elem_to_copy = dst.len() - dst_offset;
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dst[dst_offset..].copy_from_slice(&src[..elem_to_copy])
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} else {
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let src_indexes = StridedIndex::new(src_shape.dims(), src_stride);
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for (dst_index, src_index) in src_indexes.enumerate() {
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dst[dst_index + dst_offset] = src[src_index]
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let dst_index = dst_index + dst_offset;
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if dst_index >= dst.len() {
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break;
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}
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dst[dst_index] = src[src_index]
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}
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}
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}
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@ -289,22 +296,23 @@ impl CpuStorage {
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pub(crate) fn copy_strided_src(
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&self,
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dst: &mut Self,
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dst_offset: usize,
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src_shape: &Shape,
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src_stride: &[usize],
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dst_offset: usize,
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src_offset: usize,
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) -> Result<()> {
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if src_shape.rank() != src_stride.len() {
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panic!("incoherent shape and strides {src_shape:?} {src_stride:?}")
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}
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match (self, dst) {
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(Self::U32(src), Self::U32(dst)) => {
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copy_strided_src_(src, dst, src_shape, src_stride, dst_offset)
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copy_strided_src_(src, dst, dst_offset, src_shape, src_stride, src_offset)
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}
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(Self::F32(src), Self::F32(dst)) => {
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copy_strided_src_(src, dst, src_shape, src_stride, dst_offset)
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copy_strided_src_(src, dst, dst_offset, src_shape, src_stride, src_offset)
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}
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(Self::F64(src), Self::F64(dst)) => {
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copy_strided_src_(src, dst, src_shape, src_stride, dst_offset)
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copy_strided_src_(src, dst, dst_offset, src_shape, src_stride, src_offset)
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}
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(_, dst) => {
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// This should be covered by the dtype check above.
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@ -450,9 +450,10 @@ impl CudaStorage {
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pub(crate) fn copy_strided_src(
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&self,
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dst: &mut Self,
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dst_offset: usize,
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src_shape: &Shape,
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src_stride: &[usize],
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dst_offset: usize,
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src_offset: usize,
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) -> Result<()> {
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if src_shape.rank() != src_stride.len() {
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panic!("incoherent shape and strides {src_shape:?} {src_stride:?}")
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@ -464,26 +465,27 @@ impl CudaStorage {
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let ds = dev.htod_copy([dims, src_stride].concat())?;
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match (&self.slice, &mut dst.slice) {
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(CudaStorageSlice::F32(src), CudaStorageSlice::F32(dst)) => {
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let src = src.slice(src_offset..);
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let mut dst = dst.slice_mut(dst_offset..);
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if src_shape.is_contiguous(src_stride) {
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dev.dtod_copy(src, &mut dst)?
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dev.dtod_copy(&src, &mut dst)?
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} else {
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let func = dev.get_or_load_func("ucopy_f32", kernels::UNARY)?;
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// SAFETY: Set later by running the kernel.
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let params = (el_count, dims.len(), &ds, src, &mut dst);
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let params = (el_count, dims.len(), &ds, &src, &mut dst);
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// SAFETY: ffi.
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unsafe { func.launch(cfg, params) }?
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}
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}
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(CudaStorageSlice::F64(src), CudaStorageSlice::F64(dst)) => {
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let src = src.slice(src_offset..);
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let mut dst = dst.slice_mut(dst_offset..);
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if src_shape.is_contiguous(src_stride) {
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dev.dtod_copy(src, &mut dst)?
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dev.dtod_copy(&src, &mut dst)?
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} else {
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let func = dev.get_or_load_func("ucopy_64", kernels::UNARY)?;
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let mut dst = dst.slice_mut(dst_offset..);
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// SAFETY: Set later by running the kernel.
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let params = (el_count, dims.len(), &ds, src, &mut dst);
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let params = (el_count, dims.len(), &ds, &src, &mut dst);
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// SAFETY: ffi.
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unsafe { func.launch(cfg, params) }?;
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}
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@ -101,6 +101,7 @@ impl CudaStorage {
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pub(crate) fn copy_strided_src(
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&self,
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_: &mut Self,
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_: usize,
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_: &Shape,
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_: &[usize],
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_: usize,
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@ -196,16 +196,17 @@ impl Storage {
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pub(crate) fn copy_strided_src(
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&self,
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dst: &mut Self,
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dst_offset: usize,
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src_shape: &Shape,
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src_stride: &[usize],
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dst_offset: usize,
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src_offset: usize,
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) -> Result<()> {
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match (self, dst) {
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(Self::Cpu(src), Self::Cpu(dst)) => {
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src.copy_strided_src(dst, src_shape, src_stride, dst_offset)
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src.copy_strided_src(dst, dst_offset, src_shape, src_stride, src_offset)
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}
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(Self::Cuda(src), Self::Cuda(dst)) => {
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Ok(src.copy_strided_src(dst, src_shape, src_stride, dst_offset)?)
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Ok(src.copy_strided_src(dst, dst_offset, src_shape, src_stride, src_offset)?)
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}
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(lhs, rhs) => Err(Error::DeviceMismatchBinaryOp {
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lhs: lhs.device().location(),
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@ -317,9 +317,10 @@ impl Tensor {
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let mut dims = dims.to_vec();
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dims[dim] = length;
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let shape = Shape::from(dims);
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let storage = self.device().zeros(&shape, self.dtype())?;
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// TODO: Actually copy the data, compared to copy_strided_src this requires a src start
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// offset as well as a way to specify the number of elements to be copied.
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let mut storage = self.device().zeros(&shape, self.dtype())?;
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let src_offset = 0; // TODO
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self.storage
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.copy_strided_src(&mut storage, 0, &self.shape, &self.stride, src_offset)?;
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let op = if self.track_op() {
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Some(Op::Narrow(self.clone(), dim, start, length))
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} else {
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@ -666,7 +667,7 @@ impl Tensor {
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let shape = self.shape();
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let mut storage = self.device().zeros(shape, self.dtype())?;
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self.storage
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.copy_strided_src(&mut storage, &self.shape, &self.stride, 0)?;
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.copy_strided_src(&mut storage, 0, &self.shape, &self.stride, 0)?;
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Ok(from_storage(
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storage,
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shape.clone(),
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@ -709,7 +710,7 @@ impl Tensor {
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} else {
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let mut storage = self.device().zeros(&shape, self.dtype())?;
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self.storage
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.copy_strided_src(&mut storage, &self.shape, &self.stride, 0)?;
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.copy_strided_src(&mut storage, 0, &self.shape, &self.stride, 0)?;
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Ok(from_storage(storage, shape, op, false))
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}
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}
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@ -786,7 +787,7 @@ impl Tensor {
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let mut storage = device.zeros(&shape, dtype)?;
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for (arg, &offset) in args.iter().zip(offsets.iter()) {
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arg.storage
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.copy_strided_src(&mut storage, &arg.shape, &arg.stride, offset)?
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.copy_strided_src(&mut storage, offset, &arg.shape, &arg.stride, 0)?
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}
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Ok(from_storage(storage, shape, op, false))
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}
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