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laramiel avatar laramiel commented on June 22, 2024

The C++ api surface is quite large, however, generally speaking, tensorstore is designed to be thread-compatible at the c++ object level. So, unless otherwise marked, it's best to partition or guard tensorstore object uses when working with threads.

See, for example, the Abseil blog post on C++ types: https://abseil.io/blog/20180531-regular-types

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jbms avatar jbms commented on June 22, 2024

All const methods are thread-safe, non-const methods are not thread safe.

All const uses of a TensorStore object (which is almost all uses) are thread-safe, for example.

Most objects in TensorStore are internally reference counted and use thread-safe copy-on-write internally where needed.

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