|
| 1 | +from typing import Callable, Sequence, Tuple |
| 2 | + |
| 3 | +class CudaStream: |
| 4 | + """Represents CUDA stream |
| 5 | +
|
| 6 | + Note |
| 7 | + ---- |
| 8 | + The class is not directly constructible. |
| 9 | + """ |
| 10 | + def __cuda_stream__(self) -> Tuple[int]: |
| 11 | + """ |
| 12 | + Special method implement CUDA stream protocol |
| 13 | + from `cuda.core`. Returns a pair of integers: |
| 14 | + (protocol_version, integral_value_of_cudaStream_t pointer) |
| 15 | + """ |
| 16 | + ... |
| 17 | + |
| 18 | + def addressof(self) -> int: |
| 19 | + "Integral value of address of driver's CUDA stream struct" |
| 20 | + ... |
| 21 | + |
| 22 | +class Benchmark: |
| 23 | + """Represents NVBench benchmark. |
| 24 | +
|
| 25 | + Note |
| 26 | + ---- |
| 27 | + The class is not user-constructible. |
| 28 | + Use `~register` function to create Benchmark and register |
| 29 | + it with NVBench. |
| 30 | + """ |
| 31 | + def getName(self) -> str: |
| 32 | + "Get benchmark name" |
| 33 | + ... |
| 34 | + def addInt64Axis(self, name: str, values: Sequence[int]) -> Benchmark: |
| 35 | + "Add integral type parameter axis with given name and values to sweep over" |
| 36 | + ... |
| 37 | + def addFloat64Axis(self, name: str, values: Sequence[float]) -> Benchmark: |
| 38 | + "Add floating-point type parameter axis with given name and values to sweep over" |
| 39 | + ... |
| 40 | + def addStringAxis(sef, name: str, values: Sequence[str]) -> Benchmark: |
| 41 | + "Add string type parameter axis with given name and values to sweep over" |
| 42 | + ... |
| 43 | + |
| 44 | +class Launch: |
| 45 | + """Configuration object for function launch. |
| 46 | +
|
| 47 | + Note |
| 48 | + ---- |
| 49 | + The class is not user-constructible. |
| 50 | + """ |
| 51 | + def getStream(self) -> CudaStream: |
| 52 | + "Get CUDA stream of this configuration" |
| 53 | + ... |
| 54 | + |
| 55 | +class State: |
| 56 | + """Represent benchmark configuration state. |
| 57 | +
|
| 58 | + Note |
| 59 | + ---- |
| 60 | + The class is not user-constructible. |
| 61 | + """ |
| 62 | + def hasDevice(self) -> bool: |
| 63 | + "True if configuration has a device" |
| 64 | + ... |
| 65 | + def hasPrinters(self) -> bool: |
| 66 | + "True if configuration has a printer" |
| 67 | + ... |
| 68 | + def getStream(self) -> CudaStream: |
| 69 | + "CudaStream object from this configuration" |
| 70 | + ... |
| 71 | + def getInt64(self, name: str, default_value: int = None) -> int: |
| 72 | + "Get value for given Int64 axis from this configuration" |
| 73 | + ... |
| 74 | + def getFloat64(self, name: str, default_value: float = None) -> float: |
| 75 | + "Get value for given Float64 axis from this configuration" |
| 76 | + ... |
| 77 | + def getString(self, name: str, default_value: str = None) -> str: |
| 78 | + "Get value for given String axis from this configuration" |
| 79 | + ... |
| 80 | + def addElementCount(self, count: int, column_name: str = None) -> None: |
| 81 | + "Add element count" |
| 82 | + ... |
| 83 | + def setElementCount(self, count: int) -> None: |
| 84 | + "Set element count" |
| 85 | + ... |
| 86 | + def getElementCount(self) -> int: |
| 87 | + "Get element count" |
| 88 | + ... |
| 89 | + def skip(self, reason: str) -> None: |
| 90 | + "Skip this configuration" |
| 91 | + ... |
| 92 | + def isSkipped(self) -> bool: |
| 93 | + "Has this configuration been skipped" |
| 94 | + ... |
| 95 | + def getSkipReason(self) -> str: |
| 96 | + "Get reason provided for skipping this configuration" |
| 97 | + ... |
| 98 | + def addGlobalMemoryReads(self, nbytes: int) -> None: |
| 99 | + "Inform NVBench that given amount of bytes is being read by the benchmark from global memory" |
| 100 | + ... |
| 101 | + def addGlobalMemoryWrites(self, nbytes: int) -> None: |
| 102 | + "Inform NVBench that given amount of bytes is being written by the benchmark into global memory" |
| 103 | + ... |
| 104 | + def getBenchmark(self) -> Benchmark: |
| 105 | + "Get Benchmark this configuration is a part of" |
| 106 | + ... |
| 107 | + def getThrottleThreshold(self) -> float: |
| 108 | + "Get throttle threshold value" |
| 109 | + ... |
| 110 | + def getMinSamples(self) -> int: |
| 111 | + "Get the number of benchmark timings NVBench performs before stopping criterion begins being used" |
| 112 | + ... |
| 113 | + def setMinSamples(self, count: int) -> None: |
| 114 | + "Set the number of benchmark timings for NVBench to perform before stopping criterion begins being used" |
| 115 | + ... |
| 116 | + def getDisableBlockingKernel(self) -> bool: |
| 117 | + "True if use of blocking kernel by NVBench is disabled, False otherwise" |
| 118 | + ... |
| 119 | + def setDisableBlockingKernel(self, flag: bool) -> None: |
| 120 | + "Use flag = True to disable use of blocking kernel by NVBench" |
| 121 | + ... |
| 122 | + def getRunOnce(self) -> bool: |
| 123 | + "Boolean flag whether configuration should only run once" |
| 124 | + ... |
| 125 | + |
| 126 | + def setRunOnce(self, flag: bool) -> None: |
| 127 | + "Set run-once flag for this configuration" |
| 128 | + ... |
| 129 | + def getTimeout(self) -> float: |
| 130 | + "Get time-out value for benchmark execution of this configuration" |
| 131 | + ... |
| 132 | + def setTimeout(self, duration: float) -> None: |
| 133 | + "Set time-out value for benchmark execution of this configuration" |
| 134 | + ... |
| 135 | + def getBlockingKernelTimeout(self) -> float: |
| 136 | + "Get time-out value for execution of blocking kernel" |
| 137 | + ... |
| 138 | + def setBlockingKernelTimeout(self, duration: float) -> None: |
| 139 | + "Set time-out value for execution of blocking kernel" |
| 140 | + ... |
| 141 | + def collectCUPTIMetrics(self) -> None: |
| 142 | + "Request NVBench to record CUPTI metrics while running benchmark for this configuration" |
| 143 | + ... |
| 144 | + def isCUPTIRequired(self) -> bool: |
| 145 | + "True if (some) CUPTI metrics are being collected" |
| 146 | + ... |
| 147 | + def exec( |
| 148 | + self, fn: Callable[[Launch], None], batched: bool = True, sync: bool = False |
| 149 | + ): |
| 150 | + """Execute callable running the benchmark. |
| 151 | +
|
| 152 | + The callable may be executed multiple times. |
| 153 | +
|
| 154 | + Parameters |
| 155 | + ---------- |
| 156 | + fn: Callable |
| 157 | + Python callable with signature fn(Launch) -> None that executes the benchmark. |
| 158 | + batched: bool, optional |
| 159 | + If `True`, no cache flushing is performed between callable invocations. |
| 160 | + Default: `True`. |
| 161 | + sync: bool, optional |
| 162 | + True value indicates that callable performs device synchronization. |
| 163 | + NVBench disables use of blocking kernel in this case. |
| 164 | + Default: `False`. |
| 165 | + """ |
| 166 | + ... |
| 167 | + |
| 168 | +def register(fn: Callable[[State], None]) -> Benchmark: |
| 169 | + """ |
| 170 | + Register bencharking function with NVBench. |
| 171 | + """ |
| 172 | + ... |
| 173 | + |
| 174 | +def run_all_benchmarks(argv: Sequence[str]) -> None: |
| 175 | + """ |
| 176 | + Run all benchmarks registered with NVBench. |
| 177 | +
|
| 178 | + Parameters |
| 179 | + ---------- |
| 180 | + argv: List[str] |
| 181 | + Sequence of CLI arguments controlling NVBench. Usually, it is `sys.argv`. |
| 182 | + """ |
| 183 | + ... |
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