Module error

Error handling for tensor operations

This module contains various error types used throughout the tensor library, organized by their domains (shape, device, memory, kernel, etc.)

Modules

autograd

Autograd-related errors (gradient computation, etc.)

base

Base error types and common functionality

common

Common errors

device

Device-related errors (GPU, CPU, etc.)

kernel

Kernel-related errors (CUDA, etc.)

memory

Memory allocation and management errors

param

Parameter-related errors (function arguments, etc.)

random

Random distribution-related errors

shape

Shape-related errors (dimension mismatch, broadcasting, etc.)