DLPack

DLPack is a neutral, zero-copy exchange format for tensors. It lets two different libraries hand a tensor back and forth without copying the data, describing only the shape, strides, data type, and device. TensorPlay interoperates with it through tensorplay.from_dlpack.

import tensorplay as tp

# a DLPack capsule is an opaque handle to a tensor
x = tp.ones(3, 4)
capsule = tp.to_dlpack(x)
y = tp.from_dlpack(capsule)   # wraps the same data, no copy
print(y.shape)                # (3, 4)

tensorplay.from_dlpack wraps data owned by another library, and tensorplay.to_dlpack hands ours out in the same format. Because the data is shared rather than copied, both ends must respect the tensor’s lifetime and the device contract — the capsule owns the underlying memory and the two sides agree on when it is valid.