def _make_data_loader(script):
data_loader_name = Inline("data_loader")
input_metadata_str = Inline(
repr(self.model_args.input_shapes
)) if self.model_args.input_shapes else None
if input_metadata_str:
script.add_import(imports=["TensorMetadata"],
frm="polygraphy.common")
data_loader = Script.invoke_if_nondefault(
"DataLoader",
seed=self.seed,
iterations=self.iterations,
input_metadata=input_metadata_str,
int_range=self.int_range,
float_range=self.float_range)
if data_loader is not None:
script.add_import(imports=["DataLoader"],
frm="polygraphy.comparator")
script.append_prefix(
Script.format_str("\n# Inference Inputs Loader\n{:} = {:}",
data_loader_name, Inline(data_loader)))
else:
data_loader_name = None
return data_loader_name
def add_trt_config_loader(script, args, data_loader_name):
profiles = []
for (min_shape, opt_shape, max_shape) in args_util.get(args, "profiles"):
profile_str = "Profile()"
for name in min_shape.keys():
profile_str += Script.format_str(".add({:}, min={:}, opt={:}, max={:})", name, min_shape[name], opt_shape[name], max_shape[name])
profiles.append(Inline(profile_str))
if profiles:
script.add_import(imports=["Profile"], frm="polygraphy.backend.trt")
sep = Inline("\n{:}".format(constants.TAB))
profiles = Script.format_str("[{:}{:}\n]", sep, Inline((",{:}".format(sep)).join(profiles)))
profile_name = script.add_loader(profiles, "profiles")
else:
profile_name = None
calibrator = None
if args_util.get(args, "int8"):
script.add_import(imports=["DataLoader"], frm="polygraphy.comparator")
script.add_import(imports=["Calibrator"], frm="polygraphy.backend.trt")
calibrator = Script.invoke("Calibrator", data_loader=Inline(data_loader_name) if data_loader_name else Inline("DataLoader()"),
cache=args_util.get(args, "calibration_cache"))
config_loader_str = Script.invoke_if_nondefault("CreateTrtConfig", max_workspace_size=args_util.get(args, "workspace"), tf32=args_util.get(args, "tf32"),
fp16=args_util.get(args, "fp16"), int8=args_util.get(args, "int8"), strict_types=args_util.get(args, "strict_types"),
profiles=profile_name, calibrator=Inline(calibrator) if calibrator else None)
if config_loader_str is not None:
script.add_import(imports=["CreateConfig as CreateTrtConfig"], frm="polygraphy.backend.trt")
config_loader_name = script.add_loader(config_loader_str, "create_trt_config")
else:
config_loader_name = None
return config_loader_name
def add_to_script(self, script):
config_loader_str = Script.invoke_if_nondefault("CreateConfig", gpu_memory_fraction=self.gpu_memory_fraction,
allow_growth=self.allow_growth, use_xla=self.xla)
if config_loader_str is not None:
script.add_import(imports=["CreateConfig"], frm="polygraphy.backend.tf")
config_loader_name = script.add_loader(config_loader_str, "create_tf_config")
else:
config_loader_name = None
return config_loader_name
def add_tf_config_loader(script, args):
config_loader_str = Script.invoke_if_nondefault("CreateConfig", gpu_memory_fraction=args_util.get(args, "gpu_memory_fraction"),
allow_growth=args_util.get(args, "allow_growth"), use_xla=args_util.get(args, "xla"))
if config_loader_str is not None:
script.add_import(imports=["CreateConfig"], frm="polygraphy.backend.tf")
config_loader_name = script.add_loader(config_loader_str, "create_tf_config")
else:
config_loader_name = None
return config_loader_name
def add_trt_config_loader(self, script, data_loader_name):
profiles = []
profile_args = tools_util.parse_profile_shapes(
self.model_args.input_shapes, self.trt_min_shapes,
self.trt_opt_shapes, self.trt_max_shapes)
for (min_shape, opt_shape, max_shape) in profile_args:
profile_str = "Profile()"
for name in min_shape.keys():
profile_str += Script.format_str(
".add({:}, min={:}, opt={:}, max={:})", name,
min_shape[name], opt_shape[name], max_shape[name])
profiles.append(Inline(profile_str))
if profiles:
script.add_import(imports=["Profile"],
frm="polygraphy.backend.trt")
sep = Inline("\n{:}".format(constants.TAB))
profiles = Script.format_str(
"[{:}{:}\n]", sep, Inline((",{:}".format(sep)).join(profiles)))
profile_name = script.add_loader(profiles, "profiles")
else:
profile_name = None
calibrator = None
if self.int8:
script.add_import(imports=["Calibrator"],
frm="polygraphy.backend.trt")
script.add_import(imports=["DataLoader"],
frm="polygraphy.comparator")
calibrator = Script.invoke(
"Calibrator",
data_loader=Inline(data_loader_name)
if data_loader_name else Inline("DataLoader()"),
cache=self.calibration_cache)
config_loader_str = Script.invoke_if_nondefault(
"CreateTrtConfig",
max_workspace_size=self.workspace,
tf32=self.tf32,
fp16=self.fp16,
int8=self.int8,
strict_types=self.strict_types,
profiles=profile_name,
calibrator=Inline(calibrator) if calibrator else None)
if config_loader_str is not None:
script.add_import(imports=["CreateConfig as CreateTrtConfig"],
frm="polygraphy.backend.trt")
config_loader_name = script.add_loader(config_loader_str,
"create_trt_config")
else:
config_loader_name = None
return config_loader_name
def add_data_loader(script, args):
def omit_none_tuple(tup):
if all([elem is None for elem in tup]):
return None
return tup
int_range = omit_none_tuple(tup=(args_util.get(args, "int_min"), args_util.get(args, "int_max")))
float_range = omit_none_tuple(tup=(args_util.get(args, "float_min"), args_util.get(args, "float_max")))
input_metadata_str = Inline(repr(args_util.get(args, "inputs"))) if args_util.get(args, "inputs") else None
if input_metadata_str:
script.add_import(imports=["TensorMetadata"], frm="polygraphy.common")
data_loader = Script.invoke_if_nondefault("DataLoader", seed=args_util.get(args, "seed"), iterations=args_util.get(args, "iterations"),
input_metadata=input_metadata_str, int_range=int_range, float_range=float_range)
if data_loader is not None:
data_loader_name = Inline("data_loader")
script.add_import(imports=["DataLoader"], frm="polygraphy.comparator")
script.append_prefix(Script.format_str("\n# Inference Inputs Loader\n{:} = {:}\n", data_loader_name, Inline(data_loader)))
else:
data_loader_name = None
return data_loader_name
def add_comparator(script, args, data_loader_name, cmd_run):
script.add_import(imports=["Comparator"], frm="polygraphy.comparator")
script.add_import(imports=["sys"])
comparator_run = Script.invoke("Comparator.run",
script.get_runners(),
warm_up=args.warm_up,
data_loader=data_loader_name,
use_subprocess=args.use_subprocess)
script.append_suffix(
Script.format_str("\n# Runner Execution\nresults = {:}",
Inline(comparator_run)))
if args.load_results:
G_LOGGER.verbose("Will load runner results from: {:}".format(
args.load_results))
script.add_import(imports=["misc"], frm="polygraphy.util")
script.append_suffix(
Script.format_str(
"\n# Load results\nfor load_output in {:}:\n{:}results.update(misc.pickle_load(load_output))",
args.load_results, Inline(constants.TAB)))
if args.save_results:
G_LOGGER.verbose("Will save runner results to: {:}".format(
args.save_results))
script.add_import(imports=["misc"], frm="polygraphy.util")
script.append_suffix(
Script.format_str(
"\n# Save results\nmisc.pickle_save({:}, results)",
args.save_results))
top_k = args_util.get(args, "top_k")
if top_k is not None:
script.add_import(imports=["PostprocessFunc"],
frm="polygraphy.comparator")
script.append_suffix(
Script.format_str(
"\n# Postprocessing - Apply Top-{:}\nresults = Comparator.postprocess(results, PostprocessFunc.topk_func(k={:}))",
top_k, top_k))
script.append_suffix("\nsuccess = True")
if len(
args.runners
) > 1 or args.load_results: # Only do comparisons if there's actually something to compare.
script.append_suffix("# Accuracy Comparison")
compare_func_str = Script.invoke_if_nondefault(
"CompareFunc.basic_compare_func",
rtol=args.rtol,
atol=args.atol,
check_shapes=False if args.no_shape_check else None,
fail_fast=args.fail_fast)
compare_func = None
if compare_func_str:
script.add_import(imports=["CompareFunc"],
frm="polygraphy.comparator")
compare_func = "compare_func"
script.append_suffix(
Script.format_str("{:} = {:}", Inline(compare_func),
Inline(compare_func_str)))
compare_accuracy = Script.invoke("Comparator.compare_accuracy",
Inline("results"),
compare_func=Inline(compare_func)
if compare_func is not None else None,
fail_fast=args.fail_fast)
script.append_suffix(
Script.format_str("success &= bool({:})\n",
Inline(compare_accuracy)))
if args.validate:
script.append_suffix(
"# Validation\nsuccess &= Comparator.validate(results)\n")
if cmd_run is None:
cmd_run = Inline("' '.join(sys.argv)")
script.append_suffix(
Script.format_str(
'# Report Results\ncmd_run={cmd}\nif success:\n G_LOGGER.success("PASSED | Command: {{}}".format(cmd_run))\nelse:\n G_LOGGER.error("FAILED | Command: {{}}".format(cmd_run))',
cmd=cmd_run))
script.append_suffix("sys.exit(0 if success else 1)")
def add_to_script(self, script, results_name):
if self.load_results:
G_LOGGER.verbose("Will load runner results from: {:}".format(
self.load_results))
script.add_import(imports=["misc"], frm="polygraphy.util")
script.append_suffix(
Script.format_str(
"\n# Load results\nfor load_output in {:}:\n{:}{results}.extend(misc.pickle_load(load_output))",
self.load_results,
Inline(constants.TAB),
results=results_name))
if self.top_k is not None:
script.add_import(imports=["PostprocessFunc"],
frm="polygraphy.comparator")
script.append_suffix(
Script.format_str(
"\n# Postprocessing - Apply Top-{top_k}\n{results} = Comparator.postprocess({results}, PostprocessFunc.topk_func(k={top_k}))",
top_k=self.top_k,
results=results_name))
SUCCESS_VAR_NAME = Inline("success")
script.append_suffix(
"\n{success} = True".format(success=SUCCESS_VAR_NAME))
if len(
self.runners
) > 1 or self.load_results: # Only do comparisons if there's actually something to compare.
script.append_suffix("# Accuracy Comparison")
compare_func_str = Script.invoke_if_nondefault(
"CompareFunc.basic_compare_func",
rtol=self.rtol,
atol=self.atol,
check_shapes=False if self.no_shape_check else None,
fail_fast=self.fail_fast)
compare_func = None
if compare_func_str:
script.add_import(imports=["CompareFunc"],
frm="polygraphy.comparator")
compare_func = "compare_func"
script.append_suffix(
Script.format_str("{:} = {:}", Inline(compare_func),
Inline(compare_func_str)))
compare_accuracy = Script.invoke(
"Comparator.compare_accuracy",
results_name,
compare_func=Inline(compare_func)
if compare_func is not None else None,
fail_fast=self.fail_fast)
script.append_suffix(
Script.format_str("{success} &= bool({:})\n",
Inline(compare_accuracy),
success=SUCCESS_VAR_NAME))
if self.validate:
script.append_suffix(
"# Validation\n{success} &= Comparator.validate({results})\n".
format(success=SUCCESS_VAR_NAME, results=results_name))
return SUCCESS_VAR_NAME