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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) -
tensorflow/c/c_test_util.cc
TF_SetAttrType(desc, "T", TF_INT32); // Set device to CPU since there is no version of split for int32 on GPU // TODO(iga): Convert all these helpers and tests to use floats because // they are usually available on GPUs. After doing this, remove TF_SetDevice // call in c_api_function_test.cc TF_SetDevice(desc, "/cpu:0"); *op = TF_FinishOperation(desc, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Sat Oct 04 05:55:32 GMT 2025 - 17.8K bytes - Click Count (1)