Replace boolean usage

.github/workflows/test-mlperf-inference-abtf-poc.yml

@@ -15,14 +15,14 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-22.04, ubuntu-20.04, ubuntu-24.04, macos-latest, macos-13, windows-latest]
+        os: [ubuntu-22.04, ubuntu-latest, macos-latest, macos-13, windows-latest]
         python-version: [ "3.8", "3.12" ]
         backend: [ "pytorch" ]
         implementation: [ "python" ]
         docker: [ "", " --docker --docker_mlc_repo=${{ github.event.pull_request.head.repo.html_url }} --docker_mlc_repo_branch=${{ github.event.pull_request.head.ref }} --docker_dt" ]
         extra-args: [ "--adr.compiler.tags=gcc", "--env.MLC_MLPERF_LOADGEN_BUILD_FROM_SRC=off" ]
         exclude:
-        - os: ubuntu-24.04
+        - os: ubuntu-latest
           python-version: "3.8"
         - os: windows-latest
           python-version: "3.8"

script/activate-python-venv/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 
 import os
 
@@ -13,7 +14,7 @@ def preprocess(i):
 
     automation = i['automation']
 
-    quiet = (env.get('MLC_QUIET', False) == 'yes')
+    quiet = is_true(env.get('MLC_QUIET', False))
 
     name = env.get('MLC_NAME', '')
     if name != '':

script/app-mlperf-automotive-mlcommons-python/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 import json
 import shutil
@@ -12,13 +13,13 @@ def preprocess(i):
     state = i['state']
     script_path = i['run_script_input']['path']
 
-    if env.get('MLC_MLPERF_SKIP_RUN', '') == "yes":
+    if is_true(env.get('MLC_MLPERF_SKIP_RUN', '')):
         return {'return': 0}
 
-    if env.get('MLC_RUN_DOCKER_CONTAINER', '') == "yes":
+    if is_true(env.get('MLC_RUN_DOCKER_CONTAINER', '')):
         return {'return': 0}
 
-    if env.get('MLC_MLPERF_POWER', '') == "yes":
+    if is_true(env.get('MLC_MLPERF_POWER', '')):
         power = "yes"
     else:
         power = "no"

script/app-mlperf-inference-amd/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 import shutil
 
@@ -11,7 +12,7 @@ def preprocess(i):
         return {'return': 1, 'error': 'Windows is not supported in this script yet'}
     env = i['env']
 
-    if env.get('MLC_MLPERF_SKIP_RUN', '') == "yes":
+    if is_true(env.get('MLC_MLPERF_SKIP_RUN', '')):
         return {'return': 0}
 
     env['MLC_MLPERF_AMD_SCRIPT_PATH'] = env['MLC_TMP_CURRENT_SCRIPT_PATH']

script/app-mlperf-inference-ctuning-cpp-tflite/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 import shutil
 
@@ -11,7 +12,7 @@ def preprocess(i):
         return {'return': 1, 'error': 'Windows is not supported in this script yet'}
     env = i['env']
 
-    if env.get('MLC_MLPERF_SKIP_RUN', '') == "yes":
+    if is_true(env.get('MLC_MLPERF_SKIP_RUN', '')):
         return {'return': 0}
 
     if 'MLC_MODEL' not in env:

script/app-mlperf-inference-nvidia/customize.py

@@ -12,8 +12,7 @@ def preprocess(i):
         return {'return': 1, 'error': 'Windows is not supported in this script yet'}
     env = i['env']
 
-    if str(env.get('MLC_RUN_STATE_DOCKER', '')
-           ).lower() in ['1', 'true', 'yes']:
+    if is_true(env.get('MLC_RUN_STATE_DOCKER', '')):
         return {'return': 0}
 
     if env.get('MLC_MODEL', '') == '':
@@ -26,8 +25,8 @@ def preprocess(i):
         return {
             'return': 1, 'error': 'Please select a variation specifying the device to run on'}
 
-    if env.get('MLC_MLPERF_SKIP_RUN',
-               '') == "yes" and make_command == "run_harness":
+    if is_true(env.get('MLC_MLPERF_SKIP_RUN', '')
+               ) and make_command == "run_harness":
         return {'return': 0}
 
     env['MLPERF_SCRATCH_PATH'] = env['MLC_NVIDIA_MLPERF_SCRATCH_PATH']
@@ -641,15 +640,15 @@ def preprocess(i):
             run_config += f" --audio_buffer_num_lines={audio_buffer_num_lines}"
 
         use_fp8 = str(env.get('MLC_MLPERF_NVIDIA_HARNESS_USE_FP8', ''))
-        if use_fp8 and use_fp8.lower() not in ["no", "false", "0", ""]:
+        if use_fp8 and not is_false(use_fp8):
             run_config += f" --use_fp8"
 
         if "llama2" in env["MLC_MODEL"]:
             run_config += f" --fp8_quant_model_path={fp8_model_path}"
             run_config += f" --tensor_parallelism={tmp_tp_size}"
 
         enable_sort = env.get('MLC_MLPERF_NVIDIA_HARNESS_ENABLE_SORT')
-        if enable_sort and enable_sort.lower() not in ["no", "false", "0"]:
+        if enable_sort and not is_false(enable_sort):
             run_config += f" --enable_sort"
 
         sdxl_server_batcher_time_limit = env.get(
@@ -675,8 +674,7 @@ def preprocess(i):
             env.get(
                 'MLC_MLPERF_NVIDIA_HARNESS_SKIP_POSTPROCESS',
                 ''))
-        if skip_postprocess and skip_postprocess.lower() not in [
-                "no", "false", "0", ""]:
+        if skip_postprocess and not is_false(skip_postprocess):
             run_config += f" --skip_postprocess"
 
         if test_mode:

script/app-mlperf-inference-qualcomm/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 import shutil
 
@@ -11,7 +12,7 @@ def preprocess(i):
         return {'return': 1, 'error': 'Windows is not supported in this script yet'}
     env = i['env']
 
-    if env.get('MLC_MLPERF_SKIP_RUN', '') == "yes":
+    if is_true(env.get('MLC_MLPERF_SKIP_RUN', '')):
         return {'return': 0}
 
     if 'MLC_MODEL' not in env:
@@ -78,7 +79,7 @@ def preprocess(i):
 
         keys = ['LOC_OFFSET', 'LOC_SCALE', 'CONF_OFFSET', 'CONF_SCALE']
 
-        if env.get('MLC_RETINANET_USE_MULTIPLE_SCALES_OFFSETS', '') == 'yes':
+        if is_true(env.get('MLC_RETINANET_USE_MULTIPLE_SCALES_OFFSETS', '')):
             env['+ CXXFLAGS'].append("-DUSE_MULTIPLE_SCALES_OFFSETS=1")
             for j in range(0, 4):
                 keys.append(f'LOC_OFFSET{j}')

script/app-mlperf-inference-redhat/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 import shutil
 
@@ -11,7 +12,7 @@ def preprocess(i):
         return {'return': 1, 'error': 'Windows is not supported in this script yet'}
     env = i['env']
 
-    if env.get('MLC_MLPERF_SKIP_RUN', '') == "yes":
+    if is_true(env.get('MLC_MLPERF_SKIP_RUN', '')):
         return {'return': 0}
 
     if 'MLC_MODEL' not in env:

script/app-mlperf-inference/customize.py

@@ -77,7 +77,7 @@ def postprocess(i):
         return {'return': 0}
 
     # in power mode copy the log files from tmp_power directory
-    if env.get('MLC_MLPERF_POWER', '') == "yes" and mode == "performance":
+    if is_true(env.get('MLC_MLPERF_POWER', '')) and mode == "performance":
         mlperf_power_logs_dir = os.path.join(
             env['MLC_MLPERF_OUTPUT_DIR'], "..", "power")
         mlperf_ranging_logs_dir = os.path.join(

script/app-mlperf-training-nvidia/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 import json
 import shutil
@@ -12,13 +13,13 @@ def preprocess(i):
     state = i['state']
     script_path = i['run_script_input']['path']
 
-    if env.get('MLC_MLPERF_SKIP_RUN', '') == "yes":
+    if is_true(env.get('MLC_MLPERF_SKIP_RUN', '')):
         return {'return': 0}
 
-    if env.get('MLC_RUN_DOCKER_CONTAINER', '') == "yes":
+    if is_true(env.get('MLC_RUN_DOCKER_CONTAINER', '')):
         return {'return': 0}
 
-    if env.get('MLC_MLPERF_POWER', '') == "yes":
+    if is_true(env.get('MLC_MLPERF_POWER', '')):
         power = "yes"
     else:
         power = "no"

script/app-mlperf-training-reference/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 import json
 import shutil
@@ -12,13 +13,13 @@ def preprocess(i):
     state = i['state']
     script_path = i['run_script_input']['path']
 
-    if env.get('MLC_MLPERF_SKIP_RUN', '') == "yes":
+    if is_true(env.get('MLC_MLPERF_SKIP_RUN', '')):
         return {'return': 0}
 
-    if env.get('MLC_RUN_DOCKER_CONTAINER', '') == "yes":
+    if is_true(env.get('MLC_RUN_DOCKER_CONTAINER', '')):
         return {'return': 0}
 
-    if env.get('MLC_MLPERF_POWER', '') == "yes":
+    if is_true(env.get('MLC_MLPERF_POWER', '')):
         power = "yes"
     else:
         power = "no"

script/authenticate-github-cli/customize.py

@@ -1,5 +1,6 @@
 from mlc import utils
 import os
+from utils import is_true
 
 
 def preprocess(i):
@@ -22,7 +23,7 @@ def preprocess(i):
             cmd = f" echo {env['MLC_GH_AUTH_TOKEN']} | {cmd} --with-token"
 
     env['MLC_RUN_CMD'] = cmd
-    quiet = (env.get('MLC_QUIET', False) == 'yes')
+    quiet = is_true(env.get('MLC_QUIET', False))
 
     return {'return': 0}
 

script/benchmark-any-mlperf-inference-implementation/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import *
 import os
 
 
@@ -13,7 +14,7 @@ def preprocess(i):
 
     automation = i['automation']
 
-    quiet = (env.get('MLC_QUIET', False) == 'yes')
+    quiet = is_true(env.get('MLC_QUIET', False))
 
     models = env['MODELS'].split(",")
 
@@ -29,7 +30,7 @@ def preprocess(i):
 
     power = env.get('POWER', '')
 
-    if str(power).lower() in ["yes", "true"]:
+    if is_true(str(power)):
         POWER_STRING = " --power=yes --adr.mlperf-power-client.power_server=" + env.get(
             'POWER_SERVER',
             '192.168.0.15') + " --adr.mlperf-power-client.port=" + str(

script/benchmark-program-mlperf/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 
 
@@ -16,9 +17,9 @@ def postprocess(i):
 
     env['MLC_MLPERF_RUN_CMD'] = env.get('MLC_RUN_CMD')
 
-    if env.get('MLC_MLPERF_POWER', '') == "yes":
+    if is_true(env.get('MLC_MLPERF_POWER', '')):
 
-        if env.get('MLC_MLPERF_SHORT_RANGING_RUN', '') != 'no':
+        if not is_false(env.get('MLC_MLPERF_SHORT_RANGING_RUN', '')):
             # Write '0' to the count.txt file in MLC_RUN_DIR
             count_file = os.path.join(env.get('MLC_RUN_DIR', ''), 'count.txt')
             with open(count_file, 'w') as f:

script/calibrate-model-for.qaic/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 import sys
 import yaml
@@ -14,9 +15,9 @@ def preprocess(i):
 
     automation = i['automation']
 
-    quiet = (env.get('MLC_QUIET', False) == 'yes')
+    quiet = is_true(env.get('MLC_QUIET', False))
 
-    if env.get('MLC_CREATE_INPUT_BATCH', '') == 'yes':
+    if is_true(env.get('MLC_CREATE_INPUT_BATCH', '')):
         r = create_batched_inputs(env)
         if r['return'] > 0:
             return r
@@ -74,7 +75,7 @@ def construct_calibration_cmd(env):
     compiler_params = env['MLC_QAIC_COMPILER_PARAMS']
     batchsize = env.get('MLC_QAIC_MODEL_BATCH_SIZE', "1")
     cmd = env['MLC_QAIC_EXEC_PATH'] + " "
-    if env.get('MLC_CREATE_INPUT_BATCH', '') == 'yes':
+    if is_true(env.get('MLC_CREATE_INPUT_BATCH', '')):
         cmd += " -input-list-file=batched_input_files  -batchsize=" + batchsize + " "
     cmd += compiler_params + " -dump-profile=profile.yaml -model=" + \
         env['MLC_ML_MODEL_FILE_WITH_PATH']

script/clean-nvidia-mlperf-inference-scratch-space/customize.py

@@ -1,5 +1,6 @@
 from mlc import utils
 import os
+from utils import is_true
 
 
 def preprocess(i):
@@ -12,7 +13,7 @@ def preprocess(i):
 
     automation = i['automation']
 
-    quiet = (env.get('MLC_QUIET', False) == 'yes')
+    quiet = is_true(env.get('MLC_QUIET', False))
 
     clean_cmd = ''
     cache_rm_tags = ''

script/compile-model-for.qaic/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 
 
@@ -12,7 +13,7 @@ def preprocess(i):
 
     automation = i['automation']
 
-    quiet = (env.get('MLC_QUIET', False) == 'yes')
+    quiet = is_true(env.get('MLC_QUIET', False))
 
     if env.get('MLC_REGISTER_CACHE', '') == '':
 
@@ -49,7 +50,7 @@ def construct_compilation_cmd(env):
         ' ' + env.get('MLC_QAIC_MODEL_COMPILER_ARGS_SUT', '')
     batchsize = env.get('MLC_QAIC_MODEL_BATCH_SIZE')
 
-    if env.get('MLC_QAIC_MODEL_QUANTIZATION', '') == 'yes':
+    if is_true(env.get('MLC_QAIC_MODEL_QUANTIZATION', '')):
         profile_string = " -load-profile=" + \
             env['MLC_QAIC_MODEL_PROFILE_WITH_PATH']
     else:

script/convert-csv-to-md/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 
 
@@ -12,7 +13,7 @@ def preprocess(i):
 
     automation = i['automation']
 
-    quiet = (env.get('MLC_QUIET', False) == 'yes')
+    quiet = is_true(env.get('MLC_QUIET', False))
 
     csv_file = env.get('MLC_CSV_FILE', '')
     md_file = env.get('MLC_MD_FILE', '')

script/create-fpgaconvnet-app-tinyml/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 
 
@@ -12,7 +13,7 @@ def preprocess(i):
 
     automation = i['automation']
 
-    quiet = (env.get('MLC_QUIET', False) == 'yes')
+    quiet = is_true(env.get('MLC_QUIET', False))
 
     network_env_name = env['MLC_TINY_FPGACONVNET_NETWORK_ENV_NAME']
     run_dir = env['MLC_TINY_FPGACONVNET_' + network_env_name + '_RUN_DIR']

script/create-fpgaconvnet-config-tinyml/customize.py

@@ -1,4 +1,5 @@
 from mlc import utils
+from utils import is_true
 import os
 
 
@@ -12,7 +13,7 @@ def preprocess(i):
 
     automation = i['automation']
 
-    quiet = (env.get('MLC_QUIET', False) == 'yes')
+    quiet = is_true(env.get('MLC_QUIET', False))
 
     code_path = os.path.join(
         env['MLC_GIT_REPO_CHECKOUT_PATH'],