build_tools/android/common/benchmark_description.py - 3p/openxla/iree - Git at Google

 #!/usr/bin/env python3
 # Copyright 2021 The IREE Authors
 #
 # Licensed under the Apache License v2.0 with LLVM Exceptions.
 # See https://llvm.org/LICENSE.txt for license information.
 # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 """Utilities for describing Android benchmarks.

 This file provides common and structured representation of Android devices,
 benchmark definitions, and benchmark result collections, so that they can be
 shared between different stages of the same benchmark pipeline.
 """

 import json
 import re
 import subprocess

 from dataclasses import dataclass
 from typing import Any, Dict, Sequence

 __all__ = [
     "AndroidDeviceInfo", "BenchmarkInfo", "BenchmarkResults", "get_output"
 ]

 # A map for IREE driver names. This allows us to normalize driver names like
 # mapping to more friendly ones and detach to keep driver names used in
 # benchmark presentation stable.
 IREE_DRIVER_NAME_MAP = {
     "iree-dylib": "IREE-Dylib",
     "iree-dylib-sync": "IREE-Dylib-Sync",
     "iree-vmvx": "IREE-VMVX",
     "iree-vulkan": "IREE-Vulkan",
 }


 def get_output(args: Sequence[str], verbose: bool = False, **kwargs) -> str:
   """Executes a command and returns its stdout."""
   if verbose:
     cmd = " ".join(args)
     print(f"cmd: {cmd}")
   return subprocess.run(args,
                         check=True,
                         stdout=subprocess.PIPE,
                         universal_newlines=True,
                         **kwargs).stdout.strip()


 def get_android_device_model(verbose: bool = False) -> str:
   """Returns the Android device model."""
   model = get_output(["adb", "shell", "getprop", "ro.product.model"],
                      verbose=verbose)
   model = re.sub(r"\W+", "-", model)
   return model


 def get_android_cpu_abi(verbose: bool = False) -> str:
   """Returns the CPU ABI for the Android device."""
   return get_output(["adb", "shell", "getprop", "ro.product.cpu.abi"],
                     verbose=verbose)


 def get_android_cpu_features(verbose: bool = False) -> Sequence[str]:
   """Returns the CPU features for the Android device."""
   cpuinfo = get_output(["adb", "shell", "cat", "/proc/cpuinfo"],
                        verbose=verbose)
   features = []
   for line in cpuinfo.splitlines():
     if line.startswith("Features"):
       _, features = line.split(":")
       return features.strip().split()
   return features


 def get_android_gpu_name(verbose: bool = False) -> str:
   """Returns the GPU name for the Android device."""
   vkjson = get_output(["adb", "shell", "cmd", "gpu", "vkjson"], verbose=verbose)
   vkjson = json.loads(vkjson)
   name = vkjson["devices"][0]["properties"]["deviceName"]

   # Perform some canonicalization:

   # - Adreno GPUs have raw names like "Adreno (TM) 650".
   name = name.replace("(TM)", "")

   # Replace all consecutive non-word characters with a single hypen.
   name = re.sub(r"\W+", "-", name)

   return name


 @dataclass
 class AndroidDeviceInfo:
   """An object describing the current Android Device.

   It includes the following phone characteristics:
   - model: the product model, e.g., 'Pixel-4'
   - cpu_abi: the CPU ABI, e.g., 'arm64-v8a'
   - cpu_features: the detailed CPU features, e.g., ['fphp', 'sve']
   - gpu_name: the GPU name, e.g., 'Mali-G77'
   """

   model: str
   cpu_abi: str
   cpu_features: Sequence[str]
   gpu_name: str

   def __str__(self):
     features = ", ".join(self.cpu_features)
     params = [
         f"model='{self.model}'",
         f"cpu_abi='{self.cpu_abi}'",
         f"gpu_name='{self.gpu_name}'",
         f"cpu_features=[{features}]",
     ]
     params = ", ".join(params)
     return f"Android device <{params}>"

   def get_arm_arch_revision(self) -> str:
     """Returns the ARM architecture revision."""
     if self.cpu_abi != "arm64-v8a":
       raise ValueError("Unrecognized ARM CPU ABI; need to update the list")

     # CPU features for ARMv8 revisions.
     # From https://en.wikichip.org/wiki/arm/armv8#ARMv8_Extensions_and_Processor_Features
     rev1_features = ["atomics", "asimdrdm"]
     rev2_features = [
         "fphp", "dcpop", "sha3", "sm3", "sm4", "asimddp", "sha512", "sve"
     ]

     rev = "ARMv8-A"
     if any([f in self.cpu_features for f in rev1_features]):
       rev = "ARMv8.1-A"
     if any([f in self.cpu_features for f in rev2_features]):
       rev = "ARMv8.2-A"
     return rev

   def to_json_object(self) -> Dict[str, Any]:
     return {
         "model": self.model,
         "cpu_abi": self.cpu_abi,
         "cpu_features": self.cpu_features,
         "gpu_name": self.gpu_name,
     }

   @staticmethod
   def from_json_object(json_object: Dict[str, Any]):
     return AndroidDeviceInfo(json_object["model"], json_object["cpu_abi"],
                              json_object["cpu_features"],
                              json_object["gpu_name"])

   @staticmethod
   def from_adb(verbose: bool = False):
     return AndroidDeviceInfo(get_android_device_model(verbose),
                              get_android_cpu_abi(verbose),
                              get_android_cpu_features(verbose),
                              get_android_gpu_name(verbose))


 @dataclass
 class BenchmarkInfo:
   """An object describing the current benchmark.

   It includes the following benchmark characteristics:
   - model_name: the model name, e.g., 'MobileNetV2'
   - model_tags: a list of tags used to describe additional model information,
       e.g., ['imagenet']
   - model_source: the source of the model, e.g., 'TensorFlow'
   - bench_mode: a list of tags for benchmark mode,
       e.g., ['1-thread', 'big-core', 'full-inference']
   - runner: which runner is used for benchmarking, e.g., 'iree_vulkan', 'tflite'
   - device_info: an AndroidDeviceInfo object describing the phone where
       bnechmarks run
   """

   model_name: str
   model_tags: Sequence[str]
   model_source: str
   bench_mode: Sequence[str]
   runner: str
   device_info: AndroidDeviceInfo

   def __str__(self):
     # Get the target architecture and better driver name depending on the runner.
     target_arch = ""
     driver = ""
     if self.runner == "iree-vulkan":
       target_arch = "GPU-" + self.device_info.gpu_name
       driver = IREE_DRIVER_NAME_MAP[self.runner]
     elif (self.runner == "iree-dylib" or self.runner == "iree-dylib-sync" or
           self.runner == "iree-vmvx"):
       target_arch = "CPU-" + self.device_info.get_arm_arch_revision()
       driver = IREE_DRIVER_NAME_MAP[self.runner]
     else:
       raise ValueError("Unrecognized runner; need to update the list")

     if self.model_tags:
       tags = ",".join(self.model_tags)
       model_part = f"{self.model_name} [{tags}] ({self.model_source})"
     else:
       model_part = f"{self.model_name} ({self.model_source})"
     phone_part = f"{self.device_info.model} ({target_arch})"
     mode = ",".join(self.bench_mode)

     return f"{model_part} {mode} with {driver} @ {phone_part}"

   def deduce_taskset(self) -> str:
     """Deduces the CPU affinity taskset mask according to benchmark modes."""
     # TODO: we actually should check the number of cores the phone have.
     if "big-core" in self.bench_mode:
       return "80" if "1-thread" in self.bench_mode else "f0"
     if "little-core" in self.bench_mode:
       return "08" if "1-thread" in self.bench_mode else "0f"

     # Not specified: use the 7th core.
     return "80"

   def to_json_object(self) -> Dict[str, Any]:
     return {
         "model_name": self.model_name,
         "model_tags": self.model_tags,
         "model_source": self.model_source,
         "bench_mode": self.bench_mode,
         "runner": self.runner,
         "device_info": self.device_info.to_json_object(),
     }

   @staticmethod
   def from_json_object(json_object: Dict[str, Any]):
     return BenchmarkInfo(model_name=json_object["model_name"],
                          model_tags=json_object["model_tags"],
                          model_source=json_object["model_source"],
                          bench_mode=json_object["bench_mode"],
                          runner=json_object["runner"],
                          device_info=AndroidDeviceInfo.from_json_object(
                              json_object["device_info"]))


 class BenchmarkResults(object):
   """An object describing a set of benchmarks for one particular commit.

     It contains the following fields:
     - commit: the commit SHA for this set of benchmarks.
     - benchmarks: a list of benchmarks, each with
       - benchmark: a BenchmarkInfo object
       - context: the context for running the benchmarks
       - results: results for all benchmark runs
     """

   def __init__(self):
     self.commit = "<unknown>"
     self.benchmarks = []

   def set_commit(self, commit: str):
     self.commit = commit

   def append_one_benchmark(self, benchmark_info: BenchmarkInfo,
                            run_context: Dict[str, Any],
                            run_results: Sequence[Dict[str, Any]]):
     """Appends the results for one benchmark."""
     self.benchmarks.append({
         "benchmark": benchmark_info,
         "context": run_context,
         "results": run_results,
     })

   def merge(self, other):
     if self.commit != other.commit:
       raise ValueError("Inconsistent pull request commit")
     self.benchmarks.extend(other.benchmarks)

   def get_aggregate_time(self, benchmark_index: int, kind: str) -> int:
     """Returns the Google Benchmark aggreate time for the given kind.

       Args:
       - benchmark_index: the benchmark's index.
       - kind: what kind of aggregate time to get; choices:
         'mean', 'median', 'stddev'.
       """
     time = None
     for bench_case in self.benchmarks[benchmark_index]["results"]:
       if bench_case["name"].endswith(f"real_time_{kind}"):
         if bench_case["time_unit"] != "ms":
           raise ValueError(f"Expected ms as time unit")
         time = int(round(bench_case["real_time"]))
         break
     if time is None:
       raise ValueError(f"Cannot found real_time_{kind} in benchmark results")
     return time

   def to_json_str(self) -> str:
     json_object = {"commit": self.commit, "benchmarks": []}
     for benchmark in self.benchmarks:
       json_object["benchmarks"].append({
           "benchmark": benchmark["benchmark"].to_json_object(),
           "context": benchmark["context"],
           "results": benchmark["results"],
       })
     return json.dumps(json_object)

   @staticmethod
   def from_json_str(json_str: str):
     json_object = json.loads(json_str)
     results = BenchmarkResults()
     results.set_commit(json_object["commit"])
     for benchmark in json_object["benchmarks"]:
       results.append_one_benchmark(
           BenchmarkInfo.from_json_object(benchmark["benchmark"]),
           benchmark["context"], benchmark["results"])
     return results
	#!/usr/bin/env python3
	# Copyright 2021 The IREE Authors
	#
	# Licensed under the Apache License v2.0 with LLVM Exceptions.
	# See https://llvm.org/LICENSE.txt for license information.
	# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
	"""Utilities for describing Android benchmarks.

	This file provides common and structured representation of Android devices,
	benchmark definitions, and benchmark result collections, so that they can be
	shared between different stages of the same benchmark pipeline.
	"""

	import json
	import re
	import subprocess

	from dataclasses import dataclass
	from typing import Any, Dict, Sequence

	__all__ = [
	"AndroidDeviceInfo", "BenchmarkInfo", "BenchmarkResults", "get_output"
	]

	# A map for IREE driver names. This allows us to normalize driver names like
	# mapping to more friendly ones and detach to keep driver names used in
	# benchmark presentation stable.
	IREE_DRIVER_NAME_MAP = {
	"iree-dylib": "IREE-Dylib",
	"iree-dylib-sync": "IREE-Dylib-Sync",
	"iree-vmvx": "IREE-VMVX",
	"iree-vulkan": "IREE-Vulkan",
	}


	def get_output(args: Sequence[str], verbose: bool = False, **kwargs) -> str:
	"""Executes a command and returns its stdout."""
	if verbose:
	cmd = " ".join(args)
	print(f"cmd: {cmd}")
	return subprocess.run(args,
	check=True,
	stdout=subprocess.PIPE,
	universal_newlines=True,
	**kwargs).stdout.strip()


	def get_android_device_model(verbose: bool = False) -> str:
	"""Returns the Android device model."""
	model = get_output(["adb", "shell", "getprop", "ro.product.model"],
	verbose=verbose)
	model = re.sub(r"\W+", "-", model)
	return model


	def get_android_cpu_abi(verbose: bool = False) -> str:
	"""Returns the CPU ABI for the Android device."""
	return get_output(["adb", "shell", "getprop", "ro.product.cpu.abi"],
	verbose=verbose)


	def get_android_cpu_features(verbose: bool = False) -> Sequence[str]:
	"""Returns the CPU features for the Android device."""
	cpuinfo = get_output(["adb", "shell", "cat", "/proc/cpuinfo"],
	verbose=verbose)
	features = []
	for line in cpuinfo.splitlines():
	if line.startswith("Features"):
	_, features = line.split(":")
	return features.strip().split()
	return features


	def get_android_gpu_name(verbose: bool = False) -> str:
	"""Returns the GPU name for the Android device."""
	vkjson = get_output(["adb", "shell", "cmd", "gpu", "vkjson"], verbose=verbose)
	vkjson = json.loads(vkjson)
	name = vkjson["devices"][0]["properties"]["deviceName"]

	# Perform some canonicalization:

	# - Adreno GPUs have raw names like "Adreno (TM) 650".
	name = name.replace("(TM)", "")

	# Replace all consecutive non-word characters with a single hypen.
	name = re.sub(r"\W+", "-", name)

	return name


	@dataclass
	class AndroidDeviceInfo:
	"""An object describing the current Android Device.

	It includes the following phone characteristics:
	- model: the product model, e.g., 'Pixel-4'
	- cpu_abi: the CPU ABI, e.g., 'arm64-v8a'
	- cpu_features: the detailed CPU features, e.g., ['fphp', 'sve']
	- gpu_name: the GPU name, e.g., 'Mali-G77'
	"""

	model: str
	cpu_abi: str
	cpu_features: Sequence[str]
	gpu_name: str

	def __str__(self):
	features = ", ".join(self.cpu_features)
	params = [
	f"model='{self.model}'",
	f"cpu_abi='{self.cpu_abi}'",
	f"gpu_name='{self.gpu_name}'",
	f"cpu_features=[{features}]",
	]
	params = ", ".join(params)
	return f"Android device <{params}>"

	def get_arm_arch_revision(self) -> str:
	"""Returns the ARM architecture revision."""
	if self.cpu_abi != "arm64-v8a":
	raise ValueError("Unrecognized ARM CPU ABI; need to update the list")

	# CPU features for ARMv8 revisions.
	# From https://en.wikichip.org/wiki/arm/armv8#ARMv8_Extensions_and_Processor_Features
	rev1_features = ["atomics", "asimdrdm"]
	rev2_features = [
	"fphp", "dcpop", "sha3", "sm3", "sm4", "asimddp", "sha512", "sve"
	]

	rev = "ARMv8-A"
	if any([f in self.cpu_features for f in rev1_features]):
	rev = "ARMv8.1-A"
	if any([f in self.cpu_features for f in rev2_features]):
	rev = "ARMv8.2-A"
	return rev

	def to_json_object(self) -> Dict[str, Any]:
	return {
	"model": self.model,
	"cpu_abi": self.cpu_abi,
	"cpu_features": self.cpu_features,
	"gpu_name": self.gpu_name,
	}

	@staticmethod
	def from_json_object(json_object: Dict[str, Any]):
	return AndroidDeviceInfo(json_object["model"], json_object["cpu_abi"],
	json_object["cpu_features"],
	json_object["gpu_name"])

	@staticmethod
	def from_adb(verbose: bool = False):
	return AndroidDeviceInfo(get_android_device_model(verbose),
	get_android_cpu_abi(verbose),
	get_android_cpu_features(verbose),
	get_android_gpu_name(verbose))


	@dataclass
	class BenchmarkInfo:
	"""An object describing the current benchmark.

	It includes the following benchmark characteristics:
	- model_name: the model name, e.g., 'MobileNetV2'
	- model_tags: a list of tags used to describe additional model information,
	e.g., ['imagenet']
	- model_source: the source of the model, e.g., 'TensorFlow'
	- bench_mode: a list of tags for benchmark mode,
	e.g., ['1-thread', 'big-core', 'full-inference']
	- runner: which runner is used for benchmarking, e.g., 'iree_vulkan', 'tflite'
	- device_info: an AndroidDeviceInfo object describing the phone where
	bnechmarks run
	"""

	model_name: str
	model_tags: Sequence[str]
	model_source: str
	bench_mode: Sequence[str]
	runner: str
	device_info: AndroidDeviceInfo

	def __str__(self):
	# Get the target architecture and better driver name depending on the runner.
	target_arch = ""
	driver = ""
	if self.runner == "iree-vulkan":
	target_arch = "GPU-" + self.device_info.gpu_name
	driver = IREE_DRIVER_NAME_MAP[self.runner]
	elif (self.runner == "iree-dylib" or self.runner == "iree-dylib-sync" or
	self.runner == "iree-vmvx"):
	target_arch = "CPU-" + self.device_info.get_arm_arch_revision()
	driver = IREE_DRIVER_NAME_MAP[self.runner]
	else:
	raise ValueError("Unrecognized runner; need to update the list")

	if self.model_tags:
	tags = ",".join(self.model_tags)
	model_part = f"{self.model_name} [{tags}] ({self.model_source})"
	else:
	model_part = f"{self.model_name} ({self.model_source})"
	phone_part = f"{self.device_info.model} ({target_arch})"
	mode = ",".join(self.bench_mode)

	return f"{model_part} {mode} with {driver} @ {phone_part}"

	def deduce_taskset(self) -> str:
	"""Deduces the CPU affinity taskset mask according to benchmark modes."""
	# TODO: we actually should check the number of cores the phone have.
	if "big-core" in self.bench_mode:
	return "80" if "1-thread" in self.bench_mode else "f0"
	if "little-core" in self.bench_mode:
	return "08" if "1-thread" in self.bench_mode else "0f"

	# Not specified: use the 7th core.
	return "80"

	def to_json_object(self) -> Dict[str, Any]:
	return {
	"model_name": self.model_name,
	"model_tags": self.model_tags,
	"model_source": self.model_source,
	"bench_mode": self.bench_mode,
	"runner": self.runner,
	"device_info": self.device_info.to_json_object(),
	}

	@staticmethod
	def from_json_object(json_object: Dict[str, Any]):
	return BenchmarkInfo(model_name=json_object["model_name"],
	model_tags=json_object["model_tags"],
	model_source=json_object["model_source"],
	bench_mode=json_object["bench_mode"],
	runner=json_object["runner"],
	device_info=AndroidDeviceInfo.from_json_object(
	json_object["device_info"]))


	class BenchmarkResults(object):
	"""An object describing a set of benchmarks for one particular commit.

	It contains the following fields:
	- commit: the commit SHA for this set of benchmarks.
	- benchmarks: a list of benchmarks, each with
	- benchmark: a BenchmarkInfo object
	- context: the context for running the benchmarks
	- results: results for all benchmark runs
	"""

	def __init__(self):
	self.commit = "<unknown>"
	self.benchmarks = []

	def set_commit(self, commit: str):
	self.commit = commit

	def append_one_benchmark(self, benchmark_info: BenchmarkInfo,
	run_context: Dict[str, Any],
	run_results: Sequence[Dict[str, Any]]):
	"""Appends the results for one benchmark."""
	self.benchmarks.append({
	"benchmark": benchmark_info,
	"context": run_context,
	"results": run_results,
	})

	def merge(self, other):
	if self.commit != other.commit:
	raise ValueError("Inconsistent pull request commit")
	self.benchmarks.extend(other.benchmarks)

	def get_aggregate_time(self, benchmark_index: int, kind: str) -> int:
	"""Returns the Google Benchmark aggreate time for the given kind.

	Args:
	- benchmark_index: the benchmark's index.
	- kind: what kind of aggregate time to get; choices:
	'mean', 'median', 'stddev'.
	"""
	time = None
	for bench_case in self.benchmarks[benchmark_index]["results"]:
	if bench_case["name"].endswith(f"real_time_{kind}"):
	if bench_case["time_unit"] != "ms":
	raise ValueError(f"Expected ms as time unit")
	time = int(round(bench_case["real_time"]))
	break
	if time is None:
	raise ValueError(f"Cannot found real_time_{kind} in benchmark results")
	return time

	def to_json_str(self) -> str:
	json_object = {"commit": self.commit, "benchmarks": []}
	for benchmark in self.benchmarks:
	json_object["benchmarks"].append({
	"benchmark": benchmark["benchmark"].to_json_object(),
	"context": benchmark["context"],
	"results": benchmark["results"],
	})
	return json.dumps(json_object)

	@staticmethod
	def from_json_str(json_str: str):
	json_object = json.loads(json_str)
	results = BenchmarkResults()
	results.set_commit(json_object["commit"])
	for benchmark in json_object["benchmarks"]:
	results.append_one_benchmark(
	BenchmarkInfo.from_json_object(benchmark["benchmark"]),
	benchmark["context"], benchmark["results"])
	return results