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Searched refs:DeallocateEvent (Results 1 – 13 of 13) sorted by relevance

/external/tensorflow/tensorflow/stream_executor/
Devent.cc32 auto status = stream_exec_->DeallocateEvent(this); in ~Event()
Dstream_executor_internal.h250 virtual port::Status DeallocateEvent(Event *event) = 0;
Dstream_executor_pimpl.cc746 port::Status StreamExecutor::DeallocateEvent(Event *event) { in DeallocateEvent() function in stream_executor::StreamExecutor
747 return implementation_->DeallocateEvent(event); in DeallocateEvent()
Dstream_executor_pimpl.h600 port::Status DeallocateEvent(Event *event);
/external/tensorflow/tensorflow/stream_executor/host/
Dhost_gpu_executor.h111 port::Status DeallocateEvent(Event *event) override;
Dhost_gpu_executor.cc233 port::Status HostExecutor::DeallocateEvent(Event * /*event*/) { in DeallocateEvent() function in stream_executor::host::HostExecutor
/external/tensorflow/tensorflow/compiler/xla/service/interpreter/
Dexecutor.h135 port::Status DeallocateEvent(Event *event) override { in DeallocateEvent() function
/external/tensorflow/tensorflow/stream_executor/tpu/
Dtpu_executor.h92 Status DeallocateEvent(Event* event) override;
Dtpu_executor.cc110 Status TpuExecutor::DeallocateEvent(Event* event) { in DeallocateEvent() function in tensorflow::tpu::TpuExecutor
/external/tensorflow/tensorflow/stream_executor/gpu/
Dgpu_executor.h175 port::Status DeallocateEvent(Event* event) override;
/external/tensorflow/tensorflow/stream_executor/rocm/
Drocm_gpu_executor.cc583 port::Status GpuExecutor::DeallocateEvent(Event* event) { in DeallocateEvent() function in stream_executor::gpu::GpuExecutor
/external/tensorflow/tensorflow/c/experimental/stream_executor/
Dstream_executor.cc451 port::Status DeallocateEvent(Event* event) override { in DeallocateEvent() function in stream_executor::__anon00950a620111::CStreamExecutor
/external/tensorflow/tensorflow/stream_executor/cuda/
Dcuda_gpu_executor.cc675 port::Status GpuExecutor::DeallocateEvent(Event* event) { in DeallocateEvent() function in stream_executor::gpu::GpuExecutor