microsoft · Tianlei Wu (tianleiwu) · Jan 28, 2026 · Jan 24, 2026
diff --git a/dockerfiles/Dockerfile.source b/dockerfiles/Dockerfile.source
@@ -16,4 +16,4 @@ RUN cd /code && /bin/bash ./build.sh --allow_running_as_root --skip_submodule_sy
 FROM mcr.microsoft.com/azurelinux/base/python:3
 COPY --from=0 /code/build/Linux/Release/dist /root
 COPY --from=0 /code/dockerfiles/LICENSE-IMAGE.txt /code/LICENSE-IMAGE.txt
-RUN tdnf install -y ca-certificates python3-setuptools python3-wheel python3-pip python3-numpy python3-flatbuffers python3-packaging python3-protobuf python3-mpmath python3-sympy && python3 -m pip install coloredlogs humanfriendly && python3 -m pip install --no-index --find-links /root onnxruntime  && rm -rf /root/*.whl
+RUN tdnf install -y ca-certificates python3-setuptools python3-wheel python3-pip python3-numpy python3-flatbuffers python3-packaging python3-protobuf python3-mpmath python3-sympy && python3 -m pip install humanfriendly && python3 -m pip install --no-index --find-links /root onnxruntime  && rm -rf /root/*.whl
diff --git a/docs/python/requirements.txt b/docs/python/requirements.txt
@@ -11,7 +11,6 @@ furo
 pyquickhelper
 pandas
 pydot
-coloredlogs
 flatbuffers
 numpy<2.0.0
 packaging

diff --git a/onnxruntime/python/tools/tensorrt/perf/benchmark.py b/onnxruntime/python/tools/tensorrt/perf/benchmark.py
@@ -12,7 +12,6 @@
 import timeit
 from datetime import datetime
 
-import coloredlogs
 import numpy as np
 from perf_utils import (
     acl,
@@ -2259,12 +2258,13 @@ def parse_arguments():
 
 def setup_logger(verbose):
     if verbose:
-        coloredlogs.install(
-            level="DEBUG",
-            fmt="[%(filename)s:%(lineno)s - %(funcName)20s()] %(message)s",
+        logging.basicConfig(
+            level=logging.DEBUG,
+            format="[%(filename)s:%(lineno)s - %(funcName)20s()] %(message)s",
+            force=True,
         )
     else:
-        coloredlogs.install(fmt="%(message)s")
+        logging.basicConfig(format="%(message)s", force=True)
         logging.getLogger("transformers").setLevel(logging.WARNING)
 
 

diff --git a/onnxruntime/python/tools/tensorrt/perf/benchmark_wrapper.py b/onnxruntime/python/tools/tensorrt/perf/benchmark_wrapper.py
@@ -11,7 +11,6 @@
 import pprint
 import re
 
-import coloredlogs  # noqa: F401
 from benchmark import *  # noqa: F403
 from perf_utils import *  # noqa: F403
 

diff --git a/onnxruntime/python/tools/tensorrt/perf/perf_utils.py b/onnxruntime/python/tools/tensorrt/perf/perf_utils.py
@@ -5,8 +5,6 @@
 import subprocess
 import sys
 
-import coloredlogs  # noqa: F401
-
 debug = False
 debug_verbose = False
 

diff --git a/onnxruntime/python/tools/tensorrt/perf/requirements.txt b/onnxruntime/python/tools/tensorrt/perf/requirements.txt
@@ -1,4 +1,3 @@
 onnxconverter-common
 onnxmltools
 pandas
-coloredlogs
diff --git a/onnxruntime/python/tools/transformers/benchmark_helper.py b/onnxruntime/python/tools/transformers/benchmark_helper.py
@@ -18,7 +18,6 @@
 from time import sleep
 from typing import Any
 
-import coloredlogs
 import numpy
 import torch
 import transformers
@@ -147,12 +146,12 @@ def create_onnxruntime_session(
 
 def setup_logger(verbose=True):
     if verbose:
-        coloredlogs.install(
-            level="DEBUG",
-            fmt="[%(filename)s:%(lineno)s - %(funcName)20s()] %(message)s",
+        logging.basicConfig(
+            format="[%(filename)s:%(lineno)s - %(funcName)20s()] %(message)s",
+            level=logging.DEBUG,
         )
     else:
-        coloredlogs.install(fmt="%(message)s")
+        logging.basicConfig(format="%(message)s", level=logging.INFO)
         logging.getLogger("transformers").setLevel(logging.WARNING)
 
 

diff --git a/onnxruntime/python/tools/transformers/convert_to_packing_mode.py b/onnxruntime/python/tools/transformers/convert_to_packing_mode.py
@@ -7,7 +7,6 @@
 import logging
 import os
 
-import coloredlogs
 from constants import (
     AttentionInputIDs,
     AttentionOutputIDs,
@@ -358,12 +357,12 @@ def _parse_arguments():
 
 def _setup_logger(verbose):
     if verbose:
-        coloredlogs.install(
-            level="DEBUG",
-            fmt="[%(filename)s:%(lineno)s - %(funcName)20s()] %(message)s",
+        logging.basicConfig(
+            format="[%(filename)s:%(lineno)s - %(funcName)20s()] %(message)s",
+            level=logging.DEBUG,
         )
     else:
-        coloredlogs.install(fmt="%(funcName)20s: %(message)s")
+        logging.basicConfig(format="%(funcName)20s: %(message)s", level=logging.INFO)
 
 
 def main():

diff --git a/onnxruntime/python/tools/transformers/models/longformer/benchmark_longformer.py b/onnxruntime/python/tools/transformers/models/longformer/benchmark_longformer.py
@@ -11,7 +11,7 @@
 #   conda create -n gpu_env python=3.8
 #   conda activate gpu_env
 #   pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113
-#   pip3 install onnx transformers onnxruntime-gpu numpy sympy coloredlogs psutil py3nvml
+#   pip3 install onnx transformers onnxruntime-gpu numpy sympy psutil py3nvml
 #   python benchmark_longformer.py
 #
 # When there is no parameter, pre-defined tests will run on the longformer-base-4096 model.

diff --git a/onnxruntime/python/tools/transformers/models/longformer/convert_to_onnx.py b/onnxruntime/python/tools/transformers/models/longformer/convert_to_onnx.py
@@ -18,7 +18,7 @@
 #   conda create -n longformer python=3.8
 #   conda activate longformer
 #   python3 -m pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
-#   python3 -m pip install coloredlogs flatbuffers numpy packaging sympy protobuf==3.20.1 onnx==1.12.0 transformers==4.18.0
+#   python3 -m pip install flatbuffers numpy packaging sympy protobuf==3.20.1 onnx==1.12.0 transformers==4.18.0
 #   python3 -m pip install -i https://test.pypi.org/simple/ ort-nightly-gpu
 #   cd ./torch_extensions
 #   rm -rf build

diff --git a/onnxruntime/python/tools/transformers/models/stable_diffusion/benchmark.py b/onnxruntime/python/tools/transformers/models/stable_diffusion/benchmark.py
@@ -5,14 +5,13 @@
 
 import argparse
 import csv
+import logging
 import os
 import statistics
 import sys
 import time
 from pathlib import Path
 
-import coloredlogs
-
 # import torch before onnxruntime so that onnxruntime uses the cuDNN in the torch package.
 import torch
 from benchmark_helper import measure_memory
@@ -1332,7 +1331,7 @@ def main():
             if version.parse(ort_version) < version.parse("1.16"):
                 raise ValueError("CUDA graph requires ONNX Runtime 1.16 or later")
 
-    coloredlogs.install(fmt="%(funcName)20s: %(message)s")
+    logging.basicConfig(format="%(funcName)20s: %(message)s", level=logging.INFO, force=True)
 
     memory_monitor_type = "cuda"
 

diff --git a/onnxruntime/python/tools/transformers/models/stable_diffusion/demo_txt2img.py b/onnxruntime/python/tools/transformers/models/stable_diffusion/demo_txt2img.py
@@ -20,7 +20,8 @@
 # limitations under the License.
 # --------------------------------------------------------------------------
 
-import coloredlogs
+import logging
+
 from cuda import cudart
 from demo_utils import (
     add_controlnet_arguments,
@@ -86,7 +87,7 @@ def run_inference(warmup=False):
 
 
 if __name__ == "__main__":
-    coloredlogs.install(fmt="%(funcName)20s: %(message)s")
+    logging.basicConfig(format="%(funcName)20s: %(message)s", level=logging.INFO)
 
     parser = arg_parser("Options for Stable Diffusion Demo")
     add_controlnet_arguments(parser)

diff --git a/onnxruntime/python/tools/transformers/models/stable_diffusion/demo_txt2img_xl.py b/onnxruntime/python/tools/transformers/models/stable_diffusion/demo_txt2img_xl.py
@@ -20,7 +20,8 @@
 # limitations under the License.
 # --------------------------------------------------------------------------
 
-import coloredlogs
+import logging
+
 from cuda import cudart
 from demo_utils import (
     add_controlnet_arguments,
@@ -252,7 +253,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    coloredlogs.install(fmt="%(funcName)20s: %(message)s")
+    logging.basicConfig(format="%(funcName)20s: %(message)s", level=logging.INFO)
 
     parser = arg_parser("Options for Stable Diffusion XL Demo")
     add_controlnet_arguments(parser)

diff --git a/onnxruntime/python/tools/transformers/models/stable_diffusion/optimize_pipeline.py b/onnxruntime/python/tools/transformers/models/stable_diffusion/optimize_pipeline.py
@@ -22,7 +22,6 @@
 import tempfile
 from pathlib import Path
 
-import coloredlogs
 import onnx
 from fusion_options import FusionOptions
 from onnx_model_clip import ClipOnnxModel
@@ -580,5 +579,5 @@ def main(argv: list[str] | None = None):
 
 
 if __name__ == "__main__":
-    coloredlogs.install(fmt="%(funcName)20s: %(message)s")
+    logging.basicConfig(format="%(funcName)20s: %(message)s", level=logging.INFO)
     main()
diff --git a/onnxruntime/python/tools/transformers/models/stable_diffusion/requirements/requirements.txt b/onnxruntime/python/tools/transformers/models/stable_diffusion/requirements/requirements.txt
@@ -4,7 +4,6 @@ transformers==4.50.0
 numpy>=1.24.1
 accelerate
 onnx==1.18.0
-coloredlogs
 packaging
 # Use newer version of protobuf might cause crash
 protobuf==4.25.8

diff --git a/onnxruntime/python/tools/transformers/notebooks/Inference_GPT2_with_OnnxRuntime_on_CPU.ipynb b/onnxruntime/python/tools/transformers/notebooks/Inference_GPT2_with_OnnxRuntime_on_CPU.ipynb
@@ -52,7 +52,7 @@
     "else:\n",
     "    !{sys.executable} -m pip install install torch --index-url https://download.pytorch.org/whl/cpu -q\n",
     "\n",
-    "!{sys.executable} -m pip install onnxruntime transformers==4.18 onnx psutil pandas py-cpuinfo py3nvml netron coloredlogs --no-warn-script-location -q"
+    "!{sys.executable} -m pip install onnxruntime transformers==4.18 onnx psutil pandas py-cpuinfo py3nvml netron --no-warn-script-location -q"
    ]
   },
   {
@@ -719,4 +719,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
diff --git a/onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_GPU.ipynb b/onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_GPU.ipynb
@@ -59,7 +59,7 @@
     "\n",
     "if sys.platform in ['linux', 'win32']: # Linux or Windows\n",
     "    !{sys.executable} -m pip install torch --index-url https://download.pytorch.org/whl/cu118 -q\n",
-    "    !{sys.executable} -m pip install onnxruntime-gpu onnx transformers psutil pandas py-cpuinfo py3nvml coloredlogs wget netron sympy protobuf==3.20.3 -q\n",
+    "    !{sys.executable} -m pip install onnxruntime-gpu onnx transformers psutil pandas py-cpuinfo py3nvml wget netron sympy protobuf==3.20.3 -q\n",
     "else: # Mac\n",
     "    print(\"CUDA is not available on MacOS\")"
    ]
@@ -196,9 +196,9 @@
       "Some weights of the model checkpoint at bert-large-uncased-whole-word-masking-finetuned-squad were not used when initializing BertForQuestionAnswering: ['bert.pooler.dense.bias', 'bert.pooler.dense.weight']\n",
       "- This IS expected if you are initializing BertForQuestionAnswering from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
       "- This IS NOT expected if you are initializing BertForQuestionAnswering from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
-      "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 48/48 [00:02<00:00, 16.27it/s]\n",
-      "convert squad examples to features: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:03<00:00, 256.11it/s]\n",
-      "add example index and unique id: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:00<?, ?it/s]\n"
+      "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 48/48 [00:02<00:00, 16.27it/s]\n",
+      "convert squad examples to features: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:03<00:00, 256.11it/s]\n",
+      "add example index and unique id: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1000/1000 [00:00<?, ?it/s]\n"
      ]
     }
    ],
@@ -1969,4 +1969,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
diff --git a/...e/python/tools/transformers/notebooks/Tensorflow_Tf2onnx_Bert-Squad_OnnxRuntime_CPU.ipynb b/...e/python/tools/transformers/notebooks/Tensorflow_Tf2onnx_Bert-Squad_OnnxRuntime_CPU.ipynb
@@ -379,7 +379,7 @@
    "cell_type": "code",
    "execution_count": 11,
    "source": [
-    "!{sys.executable} -m pip install --quiet coloredlogs sympy \n",
+    "!{sys.executable} -m pip install --quiet sympy \n",
     "\n",
     "optimized_model_path =  os.path.join(output_dir, 'tf2onnx_{}_opt_cpu.onnx'.format(model_name_or_path))\n",
     "\n",
@@ -729,4 +729,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/onnxruntime/python/tools/transformers/optimizer.py b/onnxruntime/python/tools/transformers/optimizer.py
@@ -23,7 +23,6 @@
 import tempfile
 from pathlib import Path
 
-import coloredlogs
 from fusion_options import FusionOptions
 from onnx import ModelProto, load_model
 from onnx_model import OnnxModel
@@ -562,12 +561,11 @@ def _parse_arguments():
 
 def _setup_logger(verbose):
     if verbose:
-        coloredlogs.install(
-            level="DEBUG",
-            fmt="[%(filename)s:%(lineno)s - %(funcName)20s()] %(message)s",
+        logging.basicConfig(
+            format="[%(filename)s:%(lineno)s - %(funcName)20s()] %(message)s", level=logging.DEBUG, force=True
         )
     else:
-        coloredlogs.install(fmt="%(funcName)20s: %(message)s")
+        logging.basicConfig(format="%(funcName)20s: %(message)s", level=logging.INFO, force=True)
 
 
 def main():

diff --git a/onnxruntime/python/tools/transformers/requirements.txt b/onnxruntime/python/tools/transformers/requirements.txt
@@ -1,6 +1,5 @@
 onnx >= 1.8
 numpy >= 1.19.0
-coloredlogs
 psutil
 py-cpuinfo
 py3nvml

diff --git a/onnxruntime/python/tools/transformers/run_benchmark.sh b/onnxruntime/python/tools/transformers/run_benchmark.sh
@@ -63,7 +63,7 @@
 # export CUDA_VISIBLE_DEVICES=1

 # This script will generate a logs file with a list of commands used in tests.
 echo echo "ort=$run_ort torch=$run_torch torch2=$run_torch2 torchscript=$run_torchscript tensorflow=$run_tensorflow gpu_fp32=$run_gpu_fp32 gpu_fp16=$run_gpu_fp16 cpu=$run_cpu optimizer=$use_optimizer batch=$batch_sizes sequence=$sequence_length models=$models_to_test" arm64_bfloat16_fastmath_mode=$arm64_bfloat16_fastmath_mode >> benchmark.log

 # Set it to false to skip testing. You can use it to dry run this script with the log file.
 run_tests=true
@@ -95,7 +95,7 @@
   else
     pip install onnxruntime-gpu
   fi
-  pip install --upgrade onnx coloredlogs packaging psutil py3nvml numpy transformers sympy
+  pip install --upgrade onnx packaging psutil py3nvml numpy transformers sympy
 fi
 
 if [ "$use_package" = true ] ; then
@@ -133,8 +133,8 @@
 # -------------------------------------------
 run_one_test() {
    if [ "$run_ort" = true ] ; then
      echo python $benchmark_script -m $1 $onnx_export_options $2 $3 $4 >> benchmark.log
      echo python $benchmark_script -m $1 $benchmark_options $2 $3 $4 -i $input_counts >> benchmark.log
      if [ "$run_tests" = true ] ; then
        python $benchmark_script -m $1 $onnx_export_options $2 $3 $4
        python $benchmark_script -m $1 $benchmark_options $2 $3 $4 -i $input_counts

diff --git a/onnxruntime/test/python/transformers/test_gpt2_benchmark.py b/onnxruntime/test/python/transformers/test_gpt2_benchmark.py
@@ -9,7 +9,6 @@
 import os
 import unittest
 
-import coloredlogs
 import pytest
 from parity_utilities import find_transformers_source
 
@@ -50,6 +49,6 @@ def test_gpt2_int8(self):
 
 
 if __name__ == "__main__":
-    coloredlogs.install(fmt="%(message)s")
+    logging.basicConfig(format="%(message)s")
     logging.getLogger("transformers").setLevel(logging.ERROR)
     unittest.main()
diff --git a/onnxruntime/test/python/transformers/test_gpt2_to_onnx.py b/onnxruntime/test/python/transformers/test_gpt2_to_onnx.py
@@ -7,7 +7,6 @@
 import logging
 import unittest
 
-import coloredlogs
 import pytest
 from parity_utilities import find_transformers_source
 
@@ -58,6 +57,6 @@ def test_auto_mixed_precision(self):
 
 
 if __name__ == "__main__":
-    coloredlogs.install(fmt="%(message)s")
+    logging.basicConfig(format="%(message)s")
     logging.getLogger("transformers").setLevel(logging.ERROR)
     unittest.main()
diff --git a/requirements.txt b/requirements.txt
@@ -1,4 +1,3 @@
-coloredlogs
 flatbuffers
 numpy >= 1.21.6
 packaging

diff --git a/tools/ci_build/github/azure-pipelines/linux-gpu-tensorrt-daily-perf-pipeline.yml b/tools/ci_build/github/azure-pipelines/linux-gpu-tensorrt-daily-perf-pipeline.yml
@@ -142,7 +142,7 @@ jobs:
         workingDirectory: '$(Build.SourcesDirectory)/onnxruntime/python/tools/tensorrt/perf/'
         condition: always()
 
-      - script: 'python3 -m pip install pandas azure-kusto-data[pandas] azure-kusto-ingest[pandas] coloredlogs'
+      - script: 'python3 -m pip install pandas azure-kusto-data[pandas] azure-kusto-ingest[pandas]'
         displayName: 'Install dashboard dependencies'
 
       - script: |
@@ -165,7 +165,7 @@ jobs:
 
     - ${{ if eq(parameters.PostToDashboard, true) }}:
 
-      - script: 'python3 -m pip install pandas azure-kusto-data[pandas] azure-kusto-ingest[pandas] coloredlogs'
+      - script: 'python3 -m pip install pandas azure-kusto-data[pandas] azure-kusto-ingest[pandas]'
         displayName: 'Install dashboard dependencies'
 
       - script: |
@@ -191,4 +191,4 @@ jobs:
         pathtoPublish: '$(Build.SourcesDirectory)/Artifact'
         artifactName: 'result-$(Build.BuildNumber)'
 
-    - template: templates/clean-agent-build-directory-step.yml
+    - template: templates/clean-agent-build-directory-step.yml
diff --git a/tools/ci_build/github/azure-pipelines/templates/py-package-smoking-test.yml b/tools/ci_build/github/azure-pipelines/templates/py-package-smoking-test.yml
@@ -54,7 +54,7 @@ jobs:
         FILE_NAME="${files[0]}"
         FILE_NAME=$(basename $FILE_NAME)
         PYTHON_PACKAGE_NAME=$(echo "$FILE_NAME" | cut -f 1 -d '-')
-        python3 -m pip install coloredlogs flatbuffers numpy packaging protobuf sympy
+        python3 -m pip install flatbuffers numpy packaging protobuf sympy
         python3 -m pip install --no-index --find-links . $PYTHON_PACKAGE_NAME
         python3 -m pip show $PYTHON_PACKAGE_NAME
         python3 -c "import onnxruntime as ort; print(ort.__version__)"

diff --git a/tools/ci_build/github/windows/python/requirements.txt b/tools/ci_build/github/windows/python/requirements.txt
@@ -14,5 +14,4 @@ jinja2
 markupsafe
 semver
 packaging
-coloredlogs
 onnx==1.20.1; python_version < "3.14"