diff options
author | Josh Levenberg <josh11b@tensorflow.org> | 2016-06-03 17:07:01 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2016-06-03 18:18:18 -0700 |
commit | ad676301561ed2c5414ce9261ca9b2b984a8ad74 (patch) | |
tree | bd6fa2cb05352d0fff4dec22c986afea6a849a14 /tensorflow | |
parent | 23fe378520e77bbeb8f47d00eac6737a8ec36d0f (diff) |
Delete unused and undefined GPUUtil::AsGPUFloat().
Change: 124025409
Diffstat (limited to 'tensorflow')
-rw-r--r-- | tensorflow/core/common_runtime/gpu/gpu_util.h | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/tensorflow/core/common_runtime/gpu/gpu_util.h b/tensorflow/core/common_runtime/gpu/gpu_util.h index 370e4f32b9..0524fedf31 100644 --- a/tensorflow/core/common_runtime/gpu/gpu_util.h +++ b/tensorflow/core/common_runtime/gpu/gpu_util.h @@ -66,12 +66,10 @@ class GPUUtil { // (up to a limit). "device" can be either a CPU or a GPU device. static string MemoryDebugString(const Device* device, Tensor* tensor); - static perftools::gputools::DeviceMemory<float> AsGPUFloat(const Tensor& t); - // Map a Tensor as a DeviceMemory object wrapping the given typed // buffer. template <typename T> - perftools::gputools::DeviceMemory<T> AsDeviceMemory(const Tensor& t) { + static perftools::gputools::DeviceMemory<T> AsDeviceMemory(const Tensor& t) { T* ptr = reinterpret_cast<T*>(const_cast<void*>(DMAHelper::base(&t))); return perftools::gputools::DeviceMemory<T>( perftools::gputools::DeviceMemoryBase(ptr, t.TotalBytes())); |