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Class Environment

tensorflow/lite/delegates/gpu/cl/environment.h:34–71  ·  view source on GitHub ↗

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32namespace cl {
33
34class Environment {
35 public:
36 Environment() = default;
37 explicit Environment(CLDevice&& device, CLContext&& context,
38 CLCommandQueue&& queue,
39 ProfilingCommandQueue&& profiling_queue);
40
41 // Move only
42 Environment(Environment&& environment);
43 Environment& operator=(Environment&& environment);
44 Environment(const Environment&) = delete;
45 Environment& operator=(const Environment&) = delete;
46
47 const CLDevice& device() const { return device_; }
48 CLDevice* GetDevicePtr() { return &device_; }
49 const CLDevice* GetDevicePtr() const { return &device_; }
50 CLContext& context() { return context_; }
51 CLCommandQueue* queue() { return &queue_; }
52 ProfilingCommandQueue* profiling_queue() { return &profiling_queue_; }
53 ProgramCache* program_cache() { return &program_cache_; }
54 const ProgramCache* program_cache() const { return &program_cache_; }
55
56 std::vector<CalculationsPrecision> GetSupportedPrecisions() const;
57 bool IsSupported(CalculationsPrecision precision) const;
58 std::vector<TensorStorageType> GetSupportedTextureStorages() const;
59 std::vector<TensorStorageType> GetSupportedStorages() const;
60
61 void SetHighPerformance() const;
62 void SetDefaultPerformance() const;
63 void SetLowPerformance() const; // for energy saving
64
65 private:
66 CLDevice device_;
67 CLContext context_;
68 CLCommandQueue queue_;
69 ProfilingCommandQueue profiling_queue_;
70 ProgramCache program_cache_;
71};
72
73TensorStorageType GetOptimalStorageType(const CLDevice& gpu);
74

Callers 1

CreateEnvironmentFunction · 0.70

Calls

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