oneAPI Deep Neural Network Library (oneDNN)
Performance library for Deep Learning
1.96.0
dnnl_threadpool_iface.hpp
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16 
17 #ifndef ONEAPI_DNNL_DNNL_THREADPOOL_IFACE_HPP
18 #define ONEAPI_DNNL_DNNL_THREADPOOL_IFACE_HPP
19 
20 #include <functional>
21 
24 
25 namespace dnnl {
26 
29 
32 
33 namespace threadpool_interop {
34 
40  virtual int get_num_threads() const = 0;
41 
43  virtual bool get_in_parallel() const = 0;
44 
49  virtual void parallel_for(int n, const std::function<void(int, int)> &fn)
50  = 0;
51 
53  virtual uint64_t get_flags() const = 0;
54 
57  static constexpr uint64_t ASYNCHRONOUS = 1;
58 
59  virtual ~threadpool_iface() {}
60 };
61 
62 } // namespace threadpool_interop
63 
65 
67 
68 } // namespace dnnl
69 
71 
72 #endif
oneDNN namespace
Definition: dnnl.hpp:74
virtual void parallel_for(int n, const std::function< void(int, int)> &fn)=0
Submits n instances of a closure for execution in parallel:
virtual bool get_in_parallel() const =0
Returns true if the calling thread belongs to this threadpool.
virtual int get_num_threads() const =0
Returns the number of worker threads.
static constexpr uint64_t ASYNCHRONOUS
If set, parallel_for() returns immediately and oneDNN needs implement waiting for the submitted closu...
Definition: dnnl_threadpool_iface.hpp:57
Abstract threadpool interface.
Definition: dnnl_threadpool_iface.hpp:38
virtual uint64_t get_flags() const =0
Returns threadpool behavior flags bit mask (see below).