def main():
# 1. GET USER INPUTS
parser = argparse.ArgumentParser(
description='Run all the MXNet operator benchmarks')
parser.add_argument(
'--ctx',
type=str,
default='cpu',
help='Global context to run all benchmarks. By default, cpu on a '
'CPU machine, gpu(0) on a GPU machine. '
'Valid Inputs - cpu, gpu, gpu(0), gpu(1)...')
parser.add_argument(
'--dtype',
type=str,
default='float32',
help='DType (Precision) to run benchmarks. By default, '
'float32. Valid Inputs - float32, float64, int32, '
'int64')
parser.add_argument(
'-f',
'--output-format',
type=str,
default='json',
choices=['json', 'md'],
help='Benchmark result output format. By default, json. '
'Valid Inputs - json, md')
parser.add_argument('-o',
'--output-file',
type=str,
default='./mxnet_operator_benchmarks.json',
help='Name and path for the '
'output file.')
args = parser.parse_args()
logging.info(
f"Running MXNet operator benchmarks with the following options: {args}"
)
assert not os.path.isfile(
args.output_file), f"Output file {args.output_file} already exists."
# 2. RUN BENCHMARKS
ctx = _parse_mxnet_context(args.ctx)
dtype = args.dtype
final_benchmark_results = run_all_mxnet_operator_benchmarks(ctx=ctx,
dtype=dtype)
# 3. PREPARE OUTPUTS
run_time_features = get_current_runtime_features()
save_to_file(final_benchmark_results, args.output_file, args.output_format,
run_time_features)
# 4. Generate list of MXNet operators not covered in benchmarks
ops_not_covered = get_operators_with_no_benchmark(
final_benchmark_results.keys())
for idx, op in enumerate(ops_not_covered):
print(f"{idx}. {op}")
return 0
default='json',
help='Benchmark result output format. By default, json. '
'Valid Inputs - json, md')
parser.add_argument('--output-file',
type=str,
default='./mxnet_operator_benchmarks.json',
help='Name and path for the '
'output file.')
user_options = parser.parse_args()
logging.info(
f"Running MXNet operator benchmarks with the following options: {user_options}"
)
# 2. RUN BENCHMARKS
ctx = _parse_mxnet_context(user_options.ctx)
dtype = user_options.dtype
final_benchmark_results = run_all_mxnet_operator_benchmarks(
ctx=ctx, dtype=user_options.dtype)
# 3. PREPARE OUTPUTS
save_to_file(final_benchmark_results, user_options.output_file,
user_options.output_format)
# 4. Generate list of MXNet operators not covered in benchmarks
ops_not_covered = get_operators_with_no_benchmark(
final_benchmark_results.keys())
for idx, op in enumerate(ops_not_covered):
print(f"{idx}. {op}")
def main():
# 1. GET USER INPUTS
parser = argparse.ArgumentParser(
description='Run all the MXNet operator benchmarks')
parser.add_argument(
'--ctx',
type=str,
default='cpu',
help='Global context to run all benchmarks. By default, cpu on a '
'CPU machine, gpu(0) on a GPU machine. '
'Valid Inputs - cpu, gpu, gpu(0), gpu(1)...')
parser.add_argument(
'--dtype',
type=str,
default='float32',
help='DType (Precision) to run benchmarks. By default, '
'float32. Valid Inputs - float32, float64, int32, '
'int64')
parser.add_argument(
'-f',
'--output-format',
type=str,
default='json',
choices=['json', 'md'],
help='Benchmark result output format. By default, json. '
'Valid Inputs - json, md')
parser.add_argument('-o',
'--output-file',
type=str,
default='./mxnet_operator_benchmarks.json',
help='Name and path for the '
'output file.')
parser.add_argument('-p',
'--profiler',
type=str,
default='native',
help='Use built-in CPP profiler (native) or Python'
'time module.'
'Valid Inputs - native, python')
parser.add_argument('-w',
'--warmup',
type=int,
default=25,
help='Number of times to run for warmup.'
'Valid Inputs - positive integers')
parser.add_argument('-r',
'--runs',
type=int,
default=100,
help='Number of runs to capture benchmark results.'
'Valid Inputs - positive integers')
args = parser.parse_args()
logging.info(
"Running MXNet operator benchmarks with the following options: {args}".
format(args=args))
assert not os.path.isfile(args.output_file),\
"Output file {output_file} already exists.".format(output_file=args.output_file)
# 2. RUN BENCHMARKS
ctx = _parse_mxnet_context(args.ctx)
dtype = args.dtype
profiler = args.profiler
warmup = args.warmup
runs = args.runs
benchmark_results = run_all_mxnet_operator_benchmarks(ctx=ctx,
dtype=dtype,
profiler=profiler,
warmup=warmup,
runs=runs)
# Sort benchmark results alphabetically by op name
final_benchmark_results = dict()
for key in sorted(benchmark_results.keys()):
final_benchmark_results[key] = benchmark_results[key]
# 3. PREPARE OUTPUTS
run_time_features = get_current_runtime_features()
save_to_file(final_benchmark_results, args.output_file, args.output_format,
run_time_features, profiler)
# 4. Generate list of MXNet operators not covered in benchmarks
ops_not_covered = get_operators_with_no_benchmark(
final_benchmark_results.keys())
for idx, op in enumerate(ops_not_covered):
print("{idx}. {op}".format(idx=idx, op=op))
return 0