Function validate_torch_dlpack_tensor 

pub fn validate_torch_dlpack_tensor(
    tensor: &DLTensor,
) -> Result<(), DlpackError>

Validate that a DLTensor is compatible with PyTorch DLPack interop.

Checks:

• data pointer is non-null,
• device type is CPU (DLDeviceType::Cpu),
• memory layout is C-order contiguous (null strides or row-major strides),
• dtype code is float (code 2),
• dtype bits are either 32 or 64.

Returns Ok(()) on success, or a DlpackError describing the first unsatisfied constraint.

Examples

use scirs2_numpy::dlpack::{dlpack_from_slice, validate_torch_dlpack_tensor};

let data = vec![1.0_f64, 2.0, 3.0];
let shape = vec![3_i64];
let tensor = dlpack_from_slice(&data, &shape);
assert!(validate_torch_dlpack_tensor(&tensor).is_ok());