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tensorflow/c/c_api_test.cc
TF_DeleteGraph); TF_SessionOptions* opts = TF_NewSessionOptions(); TF_Session* sess = TF_NewSession(graph.get(), opts, s); TF_DeleteSessionOptions(opts); const string gpu_device_name = GPUDeviceName(sess); TF_DeleteSession(sess, s); CHECK_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); return gpu_device_name; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
.bazelrc
# This is the same as the official TensorFlow builds. # 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
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Apr 24 20:50:35 GMT 2024 - 52.6K bytes - Viewed (2) -
tensorflow/c/eager/c_api_experimental.cc
if (prefix == nullptr || strlen(prefix) == 0) prefix = "/job:localhost/replica:0/task:0"; tensorflow::SessionOptions sess_options; (*sess_options.config.mutable_device_count())["CPU"] = num_cpus; status->status = tensorflow::DeviceFactory::AddCpuDevices(sess_options, prefix, &devices); // Remove the device that has the host device name since host device is alreay // in an initialized context.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
RELEASE.md
`CUDA_ILLEGAL_ADDRESS` failures. Google discovered in mid-December 2017 that the PTX-to-SASS compiler in CUDA 9 and CUDA 9.1 sometimes does not properly compute the carry bit when decomposing 64-bit address calculations with large offsets (e.g. `load [x + large_constant]`) into 32-bit arithmetic in SASS. As a result, these versions of `ptxas` miscompile most XLA programs which
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8)