espnet2.asr.transducer.rnnt_multi_blank.utils.global_constants.threads_per_block

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espnet2.asr.transducer.rnnt_multi_blank.utils.global_constants.threads_per_block()

Retrieve the number of threads per block used in GPU computations.

This function returns the constant value representing the number of threads that are configured to run in parallel within a single block in a GPU. The default value is set to 32, which is a common choice for optimizing performance in CUDA applications.

• Parameters:None
• Returns: The number of threads per block (default is 32).
• Return type: int

Examples

>>> num_threads = threads_per_block()
>>> print(num_threads)
32

NOTE

This value can be adjusted in the code to optimize for specific hardware or application requirements.