def run_benchmark(self):
# Warm up, ignore execution time value
_, _ = nd_forward_backward_and_time(F=nd.subtract, runs=self.warmup, lhs=self.lhs, rhs=self.rhs)
# Run Benchmarks
exe_time, _ = nd_forward_backward_and_time(F=nd.subtract, runs=self.runs, lhs=self.lhs, rhs=self.rhs)
self.results["MX_Subtract_Forward_Backward_Time"] = exe_time / self.runs
def run_benchmark(self):
# Warm up, ignore execution time value
_, _ = nd_forward_backward_and_time(F=nd.power, runs=self.warmup, base=self.base, exp=self.exp)
# Run Benchmarks
exe_time, _ = nd_forward_backward_and_time(F=nd.power, runs=self.runs, base=self.base, exp=self.exp)
self.results["MX_Power_Forward_Backward_Time"] = exe_time / self.runs
def run_benchmark(self):
# Warm up, ignore execution time value
_, _ = nd_forward_backward_and_time(F=nd.exp, runs=self.warmup, data=self.data)
# Run Benchmarks
exe_time, _ = nd_forward_backward_and_time(F=nd.exp, runs=self.runs, data=self.data)
self.results["MX_Exp_Forward_Backward_Time"] = exe_time / self.runs
def run_benchmark(self):
# Warm up, ignore execution time value
_, _ = nd_forward_backward_and_time(F=nd.greater_equal,
runs=self.warmup,
lhs=self.lhs,
rhs=self.rhs)
# Run Benchmarks
exe_time, _ = nd_forward_backward_and_time(F=nd.greater_equal,
runs=self.runs,
lhs=self.lhs,
rhs=self.rhs)
self.results[
"MX_Greater_Equal_Forward_Backward_Time"] = exe_time / self.runs
def run_benchmark(self):
# Warm up, ignore execution time value
_, _ = nd_forward_backward_and_time(
F=nd.dot,
runs=self.warmup,
lhs=self.lhs,
rhs=self.rhs,
transpose_a=self.inputs["transpose_a"],
transpose_b=self.inputs["transpose_b"],
forward_stype=self.inputs["forward_stype"])
# Run Benchmarks
exe_time, _ = nd_forward_backward_and_time(
F=nd.dot,
runs=self.runs,
lhs=self.lhs,
rhs=self.rhs,
transpose_a=self.inputs["transpose_a"],
transpose_b=self.inputs["transpose_b"],
forward_stype=self.inputs["forward_stype"])
self.results["MX_Dot_Forward_Backward_Time"] = exe_time / self.runs
