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Automatic differentiation package - tensorplay.autograd Automatic Mixed Precision package - tensorplay.amp Distributed communication package - tensorplay.distributed Index Multiprocessing package - tensorplay.multiprocessing Python Module Index Quantization Search tensorplay tensorplay._stax tensorplay.audio tensorplay.cuda tensorplay.fft tensorplay.futures tensorplay.hub tensorplay.library tensorplay.linalg tensorplay.nn tensorplay.nn.functional tensorplay.nn.init tensorplay.optim tensorplay.random tensorplay.sparse tensorplay.special tensorplay.stax tensorplay.utils.checkpoint tensorplay.utils.data tensorplay.vision

tensorplay.random.default_generator tensorplay.random.fork_rng tensorplay.random.get_rng_state tensorplay.random.initial_seed tensorplay.random.manual_seed tensorplay.random.seed tensorplay.random.set_rng_state

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latest (dev)2026-09-08 v1.0.02026-09-06

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tensorplay.random.default_generator

tensorplay.random.default_generator() → tensorplay._C.Generator

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tensorplay.randn

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tensorplay.random.fork_rng

Forks the RNG state: code inside the context gets a pristine RNG.

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