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tensorflow/c/c_api_test.cc
const float X = 3.0f, Y = 7.0f; TF_Operation* x = Placeholder(graph_, s_, "x", TF_FLOAT); TF_Operation* y = Placeholder(graph_, s_, "y", TF_FLOAT); TF_Operation* xy = Mul(x, y, graph_, s_, "xy"); TF_Output dxy_dx, dxy_dy; TF_Output outputs[1] = {{xy, 0}}; TF_Output inputs[1] = {{x, 0}}; TF_AddGradients(graph_, outputs, 1, inputs, 1, nullptr, s_, &dxy_dx); ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
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) -
configure.py
'device at: https://developer.nvidia.com/cuda-gpus. Each capability ' 'can be specified as "x.y" or "compute_xy" to include both virtual and' ' binary GPU code, or as "sm_xy" to only include the binary ' 'code.\nPlease note that each additional compute capability ' 'significantly increases your build time and binary size, and that '
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
.bazelrc
# Select supported compute capabilities (supported graphics cards). # 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
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2)