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use crate::{DType, DeviceLocation, Shape};
/// Main library error type.
#[derive(thiserror::Error, Debug)]
pub enum Error {
#[error("{msg}, expected: {expected:?}, got: {got:?}")]
UnexpectedDType {
msg: &'static str,
expected: DType,
got: DType,
},
#[error("{msg}, expected: {expected:?}, got: {got:?}")]
UnexpectedShape {
msg: String,
expected: Shape,
got: Shape,
},
#[error("{op}: dimension index {dim} out of range for {shape:?}")]
DimOutOfRange {
shape: Shape,
dim: usize,
op: &'static str,
},
#[error("invalid args for narrow: {shape:?}, dim: {dim}, start: {start}, len:{len}")]
NarrowInvalidArgs {
shape: Shape,
dim: usize,
start: usize,
len: usize,
},
#[error("{op} only supports contiguous tensors")]
RequiresContiguous { op: &'static str },
#[error("{op} expects at least one tensor")]
OpRequiresAtLeastOneTensor { op: &'static str },
#[error("backward is not supported for {op}")]
BackwardNotSupported { op: &'static str },
#[error("{op} invalid index {index} with vocab {vocab_size}")]
InvalidIndex {
op: &'static str,
index: usize,
vocab_size: usize,
},
#[error("the candle crate has not been built with cuda support")]
NotCompiledWithCudaSupport,
#[error(
"Shape mismatch, got buffer of size {buffer_size} which is compatible with shape {shape:?}"
)]
ShapeMismatch { buffer_size: usize, shape: Shape },
#[error("shape mismatch in {op}, lhs: {lhs:?}, rhs: {rhs:?}")]
ShapeMismatchBinaryOp {
lhs: Shape,
rhs: Shape,
op: &'static str,
},
#[error("shape mismatch in cat for dim {dim}, shape for arg 1: {first_shape:?} shape for arg {n}: {nth_shape:?}")]
ShapeMismatchCat {
dim: usize,
first_shape: Shape,
n: usize,
nth_shape: Shape,
},
#[error("device mismatch in {op}, lhs: {lhs:?}, rhs: {rhs:?}")]
DeviceMismatchBinaryOp {
lhs: DeviceLocation,
rhs: DeviceLocation,
op: &'static str,
},
#[error("dtype mismatch in {op}, lhs: {lhs:?}, rhs: {rhs:?}")]
DTypeMismatchBinaryOp {
lhs: DType,
rhs: DType,
op: &'static str,
},
#[error("unexpected rank, expected: {expected}, got: {got} ({shape:?})")]
UnexpectedNumberOfDims {
expected: usize,
got: usize,
shape: Shape,
},
// TODO this is temporary when we support arbitrary matmul
#[error("temporary error where matmul doesn't support arbitrary striding {lhs_stride:?} x {rhs_stride:?}")]
UnexpectedStriding {
lhs_stride: Vec<usize>,
rhs_stride: Vec<usize>,
},
#[error(transparent)]
Cuda(#[from] crate::CudaError),
#[error(transparent)]
TryFromIntError(#[from] core::num::TryFromIntError),
#[error("npy/npz error {0}")]
Npy(String),
/// Zip file format error.
#[error(transparent)]
Zip(#[from] zip::result::ZipError),
/// Integer parse error.
#[error(transparent)]
ParseInt(#[from] std::num::ParseIntError),
/// I/O error.
#[error(transparent)]
Io(#[from] std::io::Error),
/// SafeTensor error.
#[error(transparent)]
SafeTensor(#[from] safetensors::SafeTensorError),
#[error("unsupported safetensor dtype {0:?}")]
UnsupportedSafeTensorDtype(safetensors::Dtype),
#[error("unsupported dtype {0:?} for op {1}")]
UnsupportedDTypeForOp(DType, &'static str),
#[error("cannot broadcast {src_shape:?} to {dst_shape:?}")]
BroadcastIncompatibleShapes { src_shape: Shape, dst_shape: Shape },
#[error("matmul is only supported for contiguous tensors lstride: {lhs_stride:?} rstride: {rhs_stride:?} mnk: {mnk:?}")]
MatMulNonContiguous {
lhs_stride: Vec<usize>,
rhs_stride: Vec<usize>,
mnk: (usize, usize, usize),
},
}
pub type Result<T> = std::result::Result<T, Error>;
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