- Sort Score
- Num 10 results
- Language All
Results 1 - 3 of 3 for GPUs (0.02 seconds)
-
configure.py
Args: environ_cp: copy of the os.environ. var_name: string for name of environment variable, e.g. "TF_NEED_CUDA". query_item: string for feature related to the variable, e.g. "CUDA for Nvidia GPUs". enabled_by_default: boolean for default behavior. question: optional string for how to ask for user input. yes_reply: optional string for reply when feature is enabled.Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Fri Dec 19 16:32:04 GMT 2025 - 48.3K bytes - Click Count (0) -
.bazelrc
# See https://developer.nvidia.com/cuda-gpus#compute # `compute_XY` enables PTX embedding in addition to SASS. PTX # is forward compatible beyond the current compute capability major # release while SASS is only forward compatible inside the current # major release. Example: sm_80 kernels can run on sm_89 GPUs but # not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Sat Mar 28 04:33:01 GMT 2026 - 58.9K bytes - Click Count (0) -
RELEASE.md
on Ampere based GPUs.TensorFloat-32, or TF32 for short, is a math mode for NVIDIA Ampere based GPUs which causes certain float32 ops, such as matrix multiplications and convolutions, to run much faster on Ampere GPUs but with reduced precision. This reduced precision has not beenCreated: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Mon Mar 30 18:31:38 GMT 2026 - 746.5K bytes - Click Count (3)