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Executing task 'install_tensorflow0'
run: pip install -U pip setuptools
out: Requirement already up-to-date: pip in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (19.2.3)
out: Requirement already up-to-date: setuptools in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (41.2.0)
out:
run: pip install -U jupyter
out: Requirement already up-to-date: jupyter in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (1.0.0)
out: Requirement already satisfied, skipping upgrade: nbconvert in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jupyter) (5.6.0)
out: Requirement already satisfied, skipping upgrade: ipywidgets in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jupyter) (7.5.1)
out: Requirement already satisfied, skipping upgrade: qtconsole in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jupyter) (4.5.5)
out: Requirement already satisfied, skipping upgrade: notebook in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jupyter) (6.0.1)
out: Requirement already satisfied, skipping upgrade: jupyter-console in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jupyter) (6.0.0)
out: Requirement already satisfied, skipping upgrade: ipykernel in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jupyter) (5.1.2)
out: Requirement already satisfied, skipping upgrade: testpath in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbconvert->jupyter) (0.4.2)
out: Requirement already satisfied, skipping upgrade: entrypoints>=0.2.2 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbconvert->jupyter) (0.3)
out: Requirement already satisfied, skipping upgrade: pygments in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbconvert->jupyter) (2.4.2)
out: Requirement already satisfied, skipping upgrade: nbformat>=4.4 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbconvert->jupyter) (4.4.0)
out: Requirement already satisfied, skipping upgrade: defusedxml in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbconvert->jupyter) (0.6.0)
out: Requirement already satisfied, skipping upgrade: jupyter-core in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbconvert->jupyter) (4.5.0)
out: Requirement already satisfied, skipping upgrade: bleach in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbconvert->jupyter) (3.1.0)
out: Requirement already satisfied, skipping upgrade: jinja2>=2.4 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbconvert->jupyter) (2.10.1)
out: Requirement already satisfied, skipping upgrade: pandocfilters>=1.4.1 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbconvert->jupyter) (1.4.2)
out: Requirement already satisfied, skipping upgrade: traitlets>=4.2 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbconvert->jupyter) (4.3.2)
out: Requirement already satisfied, skipping upgrade: mistune<2,>=0.8.1 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbconvert->jupyter) (0.8.4)
out: Requirement already satisfied, skipping upgrade: ipython>=4.0.0; python_version >= "3.3" in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from ipywidgets->jupyter) (7.8.0)
out: Requirement already satisfied, skipping upgrade: widgetsnbextension~=3.5.0 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from ipywidgets->jupyter) (3.5.1)
out: Requirement already satisfied, skipping upgrade: jupyter-client>=4.1 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from qtconsole->jupyter) (5.3.2)
out: Requirement already satisfied, skipping upgrade: ipython-genutils in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from qtconsole->jupyter) (0.2.0)
out: Requirement already satisfied, skipping upgrade: terminado>=0.8.1 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from notebook->jupyter) (0.8.2)
out: Requirement already satisfied, skipping upgrade: Send2Trash in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from notebook->jupyter) (1.5.0)
out: Requirement already satisfied, skipping upgrade: tornado>=5.0 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from notebook->jupyter) (6.0.3)
out: Requirement already satisfied, skipping upgrade: prometheus-client in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from notebook->jupyter) (0.7.1)
out: Requirement already satisfied, skipping upgrade: pyzmq>=17 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from notebook->jupyter) (18.1.0)
out: Requirement already satisfied, skipping upgrade: prompt-toolkit<2.1.0,>=2.0.0 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jupyter-console->jupyter) (2.0.9)
out: Requirement already satisfied, skipping upgrade: jsonschema!=2.5.0,>=2.4 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from nbformat>=4.4->nbconvert->jupyter) (3.0.2)
out: Requirement already satisfied, skipping upgrade: webencodings in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from bleach->nbconvert->jupyter) (0.5.1)
out: Requirement already satisfied, skipping upgrade: six>=1.9.0 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from bleach->nbconvert->jupyter) (1.12.0)
out: Requirement already satisfied, skipping upgrade: MarkupSafe>=0.23 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jinja2>=2.4->nbconvert->jupyter) (1.1.1)
out: Requirement already satisfied, skipping upgrade: decorator in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from traitlets>=4.2->nbconvert->jupyter) (4.4.0)
out: Requirement already satisfied, skipping upgrade: backcall in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets->jupyter) (0.1.0)
out: Requirement already satisfied, skipping upgrade: setuptools>=18.5 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets->jupyter) (41.2.0)
out: Requirement already satisfied, skipping upgrade: pickleshare in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets->jupyter) (0.7.5)
out: Requirement already satisfied, skipping upgrade: jedi>=0.10 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets->jupyter) (0.15.1)
out: Requirement already satisfied, skipping upgrade: pexpect; sys_platform != "win32" in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets->jupyter) (4.7.0)
out: Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jupyter-client>=4.1->qtconsole->jupyter) (2.8.0)
out: Requirement already satisfied, skipping upgrade: ptyprocess; os_name != "nt" in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from terminado>=0.8.1->notebook->jupyter) (0.6.0)
out: Requirement already satisfied, skipping upgrade: wcwidth in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from prompt-toolkit<2.1.0,>=2.0.0->jupyter-console->jupyter) (0.1.7)
out: Requirement already satisfied, skipping upgrade: attrs>=17.4.0 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.4->nbconvert->jupyter) (19.1.0)
out: Requirement already satisfied, skipping upgrade: pyrsistent>=0.14.0 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.4->nbconvert->jupyter) (0.15.4)
out: Requirement already satisfied, skipping upgrade: parso>=0.5.0 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from jedi>=0.10->ipython>=4.0.0; python_version >= "3.3"->ipywidgets->jupyter) (0.5.1)
out:
run: nvidia-smi
out: Tue Sep 17 10:13:57 2019
out: +-----------------------------------------------------------------------------+
out: | NVIDIA-SMI 430.26 Driver Version: 430.26 CUDA Version: 10.2 |
out: |-------------------------------+----------------------+----------------------+
out: | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
out: | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
out: |===============================+======================+======================|
out: | 0 Tesla K80 Off | 00000000:00:1E.0 Off | 0 |
out: | N/A 57C P0 59W / 149W | 0MiB / 11441MiB | 100% Default |
out: +-------------------------------+----------------------+----------------------+
out:
out: +-----------------------------------------------------------------------------+
out: | Processes: GPU Memory |
out: | GPU PID Type Process name Usage |
out: |=============================================================================|
out: | No running processes found |
out: +-----------------------------------------------------------------------------+
out:
sudo: apt-get install -y --no-install-recommends cuda-10-0 libcudnn7=7.6.2.24-1+cuda10.0 libcudnn7-dev=7.6.2.24-1+cuda10.0
out:
out: Reading package lists... 0%
out:
out: Reading package lists... 100%
out:
out: Reading package lists... Done
out:
out:
out: Building dependency tree... 0%
out:
out: Building dependency tree... 0%
out:
out: Building dependency tree... 50%
out:
out: Building dependency tree... 50%
out:
out: Building dependency tree
out:
out:
out: Reading state information... 0%
out:
out: Reading state information... 0%
out:
out: Reading state information... Done
out:
out: cuda-10-0 is already the newest version (10.0.130-1).
out: libcudnn7-dev is already the newest version (7.6.2.24-1+cuda10.0).
out: libcudnn7 is already the newest version (7.6.2.24-1+cuda10.0).
out: 0 upgraded, 0 newly installed, 0 to remove and 4 not upgraded.
out:
sudo: apt-get install -y --no-install-recommends libnvinfer5=5.1.5-1+cuda10.0 libnvinfer-dev=5.1.5-1+cuda10.0
out:
out: Reading package lists... 0%
out:
out: Reading package lists... 100%
out:
out: Reading package lists... Done
out:
out:
out: Building dependency tree... 0%
out:
out: Building dependency tree... 0%
out:
out: Building dependency tree... 50%
out:
out: Building dependency tree... 50%
out:
out: Building dependency tree
out:
out:
out: Reading state information... 0%
out:
out: Reading state information... 0%
out:
out: Reading state information... Done
out:
out: libnvinfer-dev is already the newest version (5.1.5-1+cuda10.0).
out: libnvinfer5 is already the newest version (5.1.5-1+cuda10.0).
out: 0 upgraded, 0 newly installed, 0 to remove and 4 not upgraded.
out:
run: mkdir -p /home/ubuntu/repos
run: mkdir -p /home/ubuntu/repos/tensorflow-for-py3
run: git clone https://github.com/tensorflow/tensorflow.git /home/ubuntu/repos/tensorflow-for-py3
out: Cloning into '/home/ubuntu/repos/tensorflow-for-py3'...
out: remote: Enumerating objects: 41, done.
out: remote: Counting objects: 2% (1/41)
out: remote: Counting objects: 4% (2/41)
out: remote: Counting objects: 7% (3/41)
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out: remote: Counting objects: 100% (41/41)
out: remote: Counting objects: 100% (41/41), done.
out: remote: Compressing objects: 2% (1/41)
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out: remote: Compressing objects: 100% (41/41)
out: remote: Compressing objects: 100% (41/41), done.
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out: remote: Total 683322 (delta 8), reused 33 (delta 0), pack-reused 683281
out: Receiving objects: 100% (683322/683322), 388.42 MiB | 20.36 MiB/s
out: Receiving objects: 100% (683322/683322), 388.72 MiB | 11.77 MiB/s, done.
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out: Resolving deltas: 100% (554477/554477), done.
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out:
run: git checkout -f r1.15
out: Branch 'r1.15' set up to track remote branch 'r1.15' from 'origin'.
out: Switched to a new branch 'r1.15'
out:
run: rm -rf '/home/ubuntu/repos/tensorflow_pkg-3-gpu'
run: pip install numpy wheel
out: Requirement already satisfied: numpy in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (1.17.2)
out: Requirement already satisfied: wheel in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (0.33.6)
out:
run: pip install keras_preprocessing
out: Requirement already satisfied: keras_preprocessing in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (1.1.0)
out: Requirement already satisfied: six>=1.9.0 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from keras_preprocessing) (1.12.0)
out: Requirement already satisfied: numpy>=1.9.1 in /opt/venvs/tflow3.6.8/lib/python3.6/site-packages (from keras_preprocessing) (1.17.2)
out:
run: env
out: TF_DOWNLOAD_MKL=1
out: TF_NEED_COMPUTECPP=0
out: LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64
out: TF_NEED_TENSORRT=1
out: SSH_CONNECTION=[omitted] 35406 [omitted] 22
out: LANG=C.UTF-8
out: TF_ENABLE_XLA=0
out: TF_NEED_VERBS=0
out: TF_NEED_S3=0
out: OLDPWD=/home/ubuntu
out: TF_CUDA_COMPUTE_CAPABILITIES=3.7
out: CLANG_CUDA_COMPILER_PATH=/usr/bin/clang
out: TF_NEED_HDFS=0
out: TF_NEED_MKL=1
out: TF_NEED_GDR=0
out: PYTHON_LIB_PATH=/opt/venvs/tflow3.6.8
out: XDG_SESSION_ID=62
out: USER=ubuntu
out: TF_DOWNLOAD_CLANG=0
out: TF_NEED_GCP=0
out: PWD=/home/ubuntu/repos/tensorflow-for-py3
out: HOME=/home/ubuntu
out: SSH_CLIENT=[omitted] 35406 22
out: XDG_DATA_DIRS=/usr/local/share:/usr/share:/var/lib/snapd/desktop
out: TF_NEED_ROCM=0
out: SSH_TTY=/dev/pts/1
out: MAIL=/var/mail/ubuntu
out: TF_SET_ANDROID_WORKSPACE=0
out: CC_OPT_FLAGS=-march=native
out: SHELL=/bin/bash
out: TERM=vt100
out: TF_NEED_OPENCL=0
out: SHLVL=2
out: TF_CUDA_CLANG=1
out: TF_NEED_JEMALLOC=1
out: TF_NEED_KAFKA=0
out: TF_NEED_MPI=0
out: LOGNAME=ubuntu
out: XDG_RUNTIME_DIR=/run/user/1000
out: TF_NEED_CUDA=1
out: PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
out: PYTHON_BIN_PATH=/opt/venvs/tflow3.6.8/bin/python
out: TF_NEED_OPENCL_SYCL=0
out: _=/usr/bin/env
out:
run: ./configure
out: Extracting Bazel installation...
out: WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".
out: You have bazel 0.25.2 installed.
out: Found CUDA 10.0 in:
out: /usr/local/cuda/lib64
out: /usr/local/cuda/include
out: Found cuDNN 7 in:
out: /usr/lib/x86_64-linux-gnu
out: /usr/include
out: Found TensorRT 5 in:
out: /usr/lib/x86_64-linux-gnu
out: /usr/include/x86_64-linux-gnu
out:
out:
out: Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See .bazelrc for more details.
out: --config=mkl # Build with MKL support.
out: --config=monolithic # Config for mostly static monolithic build.
out: --config=gdr # Build with GDR support.
out: --config=verbs # Build with libverbs support.
out: --config=ngraph # Build with Intel nGraph support.
out: --config=numa # Build with NUMA support.
out: --config=dynamic_kernels # (Experimental) Build kernels into separate shared objects.
out: --config=v2 # Build TensorFlow 2.x instead of 1.x.
out: Preconfigured Bazel build configs to DISABLE default on features:
out: --config=noaws # Disable AWS S3 filesystem support.
out: --config=nogcp # Disable GCP support.
out: --config=nohdfs # Disable HDFS support.
out: --config=noignite # Disable Apache Ignite support.
out: --config=nokafka # Disable Apache Kafka support.
out: --config=nonccl # Disable NVIDIA NCCL support.
out: Configuration finished
out:
run: bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package --verbose_failures
out: Starting local Bazel server and connecting to it...
out: WARNING: The following configs were expanded more than once: [cuda_clang, using_cuda]. For repeatable flags, repeats are counted twice and may lead to unexpected behavior.
out: INFO: Options provided by the client:
out: Inherited 'common' options: --isatty=1 --terminal_columns=80
out: INFO: Reading rc options for 'build' from /home/ubuntu/repos/tensorflow-for-py3/.bazelrc:
out: 'build' options: --apple_platform_type=macos --define framework_shared_object=true --define open_source_build=true --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true --spawn_strategy=standalone --strategy=Genrule=standalone -c opt --announce_rc --define=grpc_no_ares=true --define=PREFIX=/usr --define=LIBDIR=$(PREFIX)/lib --define=INCLUDEDIR=$(PREFIX)/include
out: INFO: Reading rc options for 'build' from /home/ubuntu/repos/tensorflow-for-py3/.tf_configure.bazelrc:
out: 'build' options: --action_env PYTHON_BIN_PATH=/opt/venvs/tflow3.6.8/bin/python --action_env PYTHON_LIB_PATH=/opt/venvs/tflow3.6.8 --python_path=/opt/venvs/tflow3.6.8/bin/python --config=tensorrt --action_env CUDA_TOOLKIT_PATH=/usr/local/cuda --action_env TF_CUDA_COMPUTE_CAPABILITIES=3.7 --action_env LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64 --config=cuda_clang --action_env CLANG_CUDA_COMPILER_PATH=/usr/bin/clang --config=cuda_clang --action_env TF_CONFIGURE_IOS=0
out: INFO: Found applicable config definition build:tensorrt in file /home/ubuntu/repos/tensorflow-for-py3/.bazelrc: --action_env TF_NEED_TENSORRT=1
out: INFO: Found applicable config definition build:cuda_clang in file /home/ubuntu/repos/tensorflow-for-py3/.bazelrc: --config=using_cuda --define=using_cuda_clang=true --define=using_clang=true
out: INFO: Found applicable config definition build:using_cuda in file /home/ubuntu/repos/tensorflow-for-py3/.bazelrc: --define=using_cuda=true --action_env TF_NEED_CUDA=1 --crosstool_top=@local_config_cuda//crosstool:toolchain
out: INFO: Found applicable config definition build:cuda_clang in file /home/ubuntu/repos/tensorflow-for-py3/.bazelrc: --config=using_cuda --define=using_cuda_clang=true --define=using_clang=true
out: INFO: Found applicable config definition build:using_cuda in file /home/ubuntu/repos/tensorflow-for-py3/.bazelrc: --define=using_cuda=true --action_env TF_NEED_CUDA=1 --crosstool_top=@local_config_cuda//crosstool:toolchain
out: INFO: Found applicable config definition build:opt in file /home/ubuntu/repos/tensorflow-for-py3/.tf_configure.bazelrc: --copt=-march=native --host_copt=-march=native --define with_default_optimizations=true
out: Loading:
out:
out: Loading: 0 packages loaded
out:
out: Loading: 0 packages loaded
out:
out: Loading: 0 packages loaded
out: Fetching @io_bazel_rules_closure; fetching
out:
out: 
out: Loading: 0 packages loaded
out: Fetching @io_bazel_rules_closure; fetching
out:
out: 
out: Loading: 0 packages loaded
out:
out: Loading: 0 packages loaded
out: Fetching @bazel_toolchains; fetching
out:
out: 
out: Loading: 0 packages loaded
out: Fetching @bazel_toolchains; fetching
out:
out: 
out: Loading: 0 packages loaded
out: Fetching @bazel_toolchains; fetching
out:
out: 
out: Loading: 0 packages loaded
out: Fetching @bazel_toolchains; fetching
out: Fetching https://github.com/...8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
out:
out: 
out: 
out: Loading: 0 packages loaded
out: Fetching @bazel_toolchains; fetching
out:
out: 
out: Loading: 0 packages loaded
out: Fetching ...docker; Cloning 251f6a68b439744094faff800cd029798edf9faa of ht\
out: tps://github.com/bazelbuild/rules_docker.git
out:
out: 
out: 
out: Loading: 0 packages loaded
out: Fetching ...docker; Cloning 251f6a68b439744094faff800cd029798edf9faa of ht\
out: tps://github.com/bazelbuild/rules_docker.git
out:
out: 
out: 
out: Loading: 0 packages loaded
out: Fetching ...docker; Cloning 251f6a68b439744094faff800cd029798edf9faa of ht\
out: tps://github.com/bazelbuild/rules_docker.git
out:
out: 
out: 
out: Loading: 0 packages loaded
out: Fetching ...docker; Cloning 251f6a68b439744094faff800cd029798edf9faa of ht\
out: tps://github.com/bazelbuild/rules_docker.git
out:
out: 
out: 
out: Loading: 0 packages loaded
out: Fetching ...docker; Cloning 251f6a68b439744094faff800cd029798edf9faa of ht\
out: tps://github.com/bazelbuild/rules_docker.git 4s
out:
out: 
out: 
out: DEBUG: Rule 'io_bazel_rules_docker' indicated that a canonical reproducible form can be obtained by modifying arguments shallow_since = "1556410077 -0400"
out: Loading: 0 packages loaded
out:
out: Loading: 0 packages loaded
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out: currently loading: @bazel_tools//src/tools/launcher/util
out: Fetching @pybind11; fetching
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out: es loaded, 9391 targets configured)
out: currently loading: @bazel_tools//src/main/cpp/util
out: Fetching @pybind11; fetching
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out: Fetching https://github.com/pybind/pybind11/archive/v2.3.0.tar.gz
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (349 packag\
out: es loaded, 9552 targets configured)
out: currently loading: @bazel_tools//src/main/cpp/util
out: Fetching @opt_einsum_archive; fetching
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out: es loaded, 9788 targets configured)
out: currently loading: @bazel_tools//src/main/cpp/util
out: Fetching @opt_einsum_archive; fetching
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out: Fetching https://pypi.python.org/.../opt_einsum-2.3.2.tar.gz
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out: es loaded, 9930 targets configured)
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out: Fetching @grpc; fetching
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out: es loaded, 10111 targets configured)
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out: es loaded, 10302 targets configured)
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out: Fetching @enum34_archive; fetching
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out: es loaded, 10302 targets configured)
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out: Fetching https://storage.googleapis.com/.../enum34-1.1.6.tar.gz
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out: es loaded, 10302 targets configured)
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out: Fetching @llvm; fetching
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out: es loaded, 10302 targets configured)
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out: Fetching @llvm; fetching
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out: Fetching https://storage.googleapis.com/.../hwloc/v2.0/hwloc-2.0.3.tar.gz
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (372 packag\
out: es loaded, 10302 targets configured)
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out: Fetching @llvm; fetching
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out: Fetching https://storage.googleapis.com/.../hwloc-2.0.3.tar.gz; 4,202,496b
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (372 packag\
out: es loaded, 10302 targets configured)
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out: Fetching @llvm; fetching
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out: Fetching https://github.com/...c2a29ebec0835643b972eb99f4306c4234a3.tar.gz
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (373 packag\
out: es loaded, 10302 targets configured)
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out: Fetching @llvm; fetching
out: Fetching https://github.com/...835643b972eb99f4306c4234a3.tar.gz; 792,628b
out: Fetching @gast_archive; fetching
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out: es loaded, 10420 targets configured)
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out: Fetching @llvm; fetching
out: Fetching https://github.com/...5643b972eb99f4306c4234a3.tar.gz; 1,645,966b
out: Fetching @gast_archive; fetching
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out: es loaded, 10420 targets configured)
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out: Fetching @llvm; fetching
out: Fetching https://github.com/...5643b972eb99f4306c4234a3.tar.gz; 3,659,828b
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out: es loaded, 10420 targets configured)
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out: Fetching @llvm; fetching
out: Fetching https://github.com/...5643b972eb99f4306c4234a3.tar.gz; 7,454,066b
out: Fetching @gast_archive; fetching
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out: es loaded, 10447 targets configured)
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out: Fetching @llvm; fetching
out: Fetching @gast_archive; fetching
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (376 packag\
out: es loaded, 10447 targets configured)
out: Fetching @grpc; fetching 4s
out: Fetching @llvm; fetching
out: Fetching @gast_archive; fetching
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out: Fetching https://github.com/...03f906aada0cf4b749b51213fe5784eeff84.tar.gz
out: Fetching https://storage.googleapis.com/.../archive/release-62-1.tar.gz
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (376 packag\
out: es loaded, 10447 targets configured)
out: Fetching @grpc; fetching 4s
out: Fetching @llvm; fetching
out: Fetching @gast_archive; fetching
out: Fetching @icu; fetching
out: Fetching https://github.com/...f4b749b51213fe5784eeff84.tar.gz; 2,082,870b
out: Fetching https://storage.googleapis.com/.../archive/release-62-1.tar.gz
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (377 packag\
out: es loaded, 10485 targets configured)
out: Fetching @grpc; fetching 4s
out: Fetching @llvm; fetching
out: Fetching @icu; fetching
out: Fetching https://github.com/...f4b749b51213fe5784eeff84.tar.gz; 2,082,870b
out: Fetching https://storage.googleapis.com/...release-62-1.tar.gz; 4,202,496b
out: Fetching @aws; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (377 packag\
out: es loaded, 10485 targets configured)
out: Fetching @grpc; fetching 5s
out: Fetching @llvm; fetching
out: Fetching @icu; fetching
out: Fetching https://github.com/...f4b749b51213fe5784eeff84.tar.gz; 4,180,012b
out: Fetching https://storage.googleapis.com/...release-62-1.tar.gz; 4,202,496b
out: Fetching @aws; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (377 packag\
out: es loaded, 10485 targets configured)
out: Fetching @grpc; fetching 5s
out: Fetching @llvm; fetching 4s
out: Fetching @icu; fetching
out: Fetching https://github.com/...f4b749b51213fe5784eeff84.tar.gz; 4,180,012b
out: Fetching https://storage.googleapis.com/...release-62-1.tar.gz; 8,396,800b
out: Fetching @aws; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (378 packag\
out: es loaded, 10485 targets configured)
out: Fetching @llvm; fetching 4s
out: Fetching @icu; fetching
out: Fetching https://github.com/...f4b749b51213fe5784eeff84.tar.gz; 6,291,482b
out: Fetching https://storage.googleapis.com/...elease-62-1.tar.gz; 24,068,096b
out: Fetching @aws; fetching
out: Fetching @functools32_archive; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (378 packag\
out: es loaded, 10485 targets configured)
out: Fetching @llvm; fetching 4s
out: Fetching @icu; fetching
out: Fetching https://github.com/...f4b749b51213fe5784eeff84.tar.gz; 8,388,634b
out: Fetching https://storage.googleapis.com/...elease-62-1.tar.gz; 41,672,704b
out: Fetching @aws; fetching
out: Fetching @functools32_archive; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (378 packag\
out: es loaded, 10485 targets configured)
out: Fetching @llvm; fetching 4s
out: Fetching @icu; fetching
out: Fetching https://github.com/...f4b749b51213fe5784eeff84.tar.gz; 8,388,634b
out: Fetching @aws; fetching
out: Fetching @functools32_archive; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (378 packag\
out: es loaded, 10485 targets configured)
out: Fetching @llvm; fetching 5s
out: Fetching @icu; fetching
out: Fetching https://github.com/...4b749b51213fe5784eeff84.tar.gz; 10,485,786b
out: Fetching @aws; fetching
out: Fetching @functools32_archive; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (378 packag\
out: es loaded, 10485 targets configured)
out: Fetching @llvm; fetching 5s
out: Fetching @icu; fetching
out: Fetching https://github.com/...4b749b51213fe5784eeff84.tar.gz; 12,582,938b
out: Fetching @aws; fetching
out: Fetching @functools32_archive; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (378 packag\
out: es loaded, 10485 targets configured)
out: Fetching @llvm; fetching 5s
out: Fetching @icu; fetching
out: Fetching https://github.com/...4b749b51213fe5784eeff84.tar.gz; 14,680,090b
out: Fetching @aws; fetching
out: Fetching @functools32_archive; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (378 packag\
out: es loaded, 10485 targets configured)
out: Fetching @llvm; fetching 6s
out: Fetching @icu; fetching
out: Fetching https://github.com/...4b749b51213fe5784eeff84.tar.gz; 14,680,090b
out: Fetching @aws; fetching
out: Fetching @functools32_archive; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (378 packag\
out: es loaded, 10485 targets configured)
out: Fetching @llvm; fetching 6s
out: Fetching @icu; fetching
out: Fetching https://github.com/...4b749b51213fe5784eeff84.tar.gz; 16,769,806b
out: Fetching @aws; fetching
out: Fetching @functools32_archive; fetching
out: Fetching https://github.com/aws/aws-sdk-cpp/archive/1.5.8.tar.gz
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (378 packag\
out: es loaded, 10485 targets configured)
out: Fetching @llvm; fetching 6s
out: Fetching @icu; fetching
out: Fetching https://github.com/...4b749b51213fe5784eeff84.tar.gz; 16,769,806b
out: Fetching @aws; fetching
out: Fetching @functools32_archive; fetching
out: Fetching https://github.com/.../aws-sdk-cpp/archive/1.5.8.tar.gz; 439,058b
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (379 packag\
out: es loaded, 10511 targets configured)
out: Fetching @llvm; fetching 6s
out: Fetching @icu; fetching 4s
out: Fetching https://github.com/...4b749b51213fe5784eeff84.tar.gz; 18,874,394b
out: Fetching @aws; fetching
out: Fetching https://github.com/.../archive/1.5.8.tar.gz; 2,443,330b
out: Fetching @highwayhash; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (379 packag\
out: es loaded, 10511 targets configured)
out: Fetching @llvm; fetching 7s
out: Fetching @icu; fetching 4s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 18,874,394b 4s
out: Fetching @aws; fetching
out: Fetching https://github.com/.../archive/1.5.8.tar.gz; 5,097,538b
out: Fetching @highwayhash; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (380 packag\
out: es loaded, 10511 targets configured)
out: Fetching @llvm; fetching 7s
out: Fetching @icu; fetching 4s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 20,971,546b 4s
out: Fetching @aws; fetching
out: Fetching https://github.com/.../archive/1.5.8.tar.gz; 12,976,984b
out: Fetching @cub_archive; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (380 packag\
out: es loaded, 10511 targets configured)
out: Fetching @llvm; fetching 7s
out: Fetching @icu; fetching 5s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 23,068,698b 4s
out: Fetching @aws; fetching 4s
out: Fetching @cub_archive; fetching
out: Fetching https://storage.googleapis.com/.../NVlabs/cub/archive/1.8.0.zip
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (381 packag\
out: es loaded, 10678 targets configured)
out: Fetching @llvm; fetching 7s
out: Fetching @icu; fetching 5s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 23,068,698b 4s
out: Fetching @aws; fetching 4s
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (382 packag\
out: es loaded, 10785 targets configured)
out: Fetching @llvm; fetching 8s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 25,165,840b 5s
out: Fetching @aws; fetching 4s
out: Fetching @arm_neon_2_x86_sse; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (383 packag\
out: es loaded, 11119 targets configured)
out: Fetching @llvm; fetching 8s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 25,165,840b 5s
out: Fetching @aws; fetching 4s
out: Fetching @arm_neon_2_x86_sse; fetching
out: Fetching @fft2d; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (383 packag\
out: es loaded, 11119 targets configured)
out: Fetching @llvm; fetching 8s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 27,262,976b 5s
out: Fetching @aws; fetching 4s
out: Fetching @arm_neon_2_x86_sse; fetching
out: Fetching @fft2d; fetching
out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (384 packag\
out: es loaded, 11119 targets configured)
out: Fetching @llvm; fetching 8s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 27,262,976b 5s
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out: Fetching @fft2d; fetching
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (385 packag\
out: es loaded, 11119 targets configured)
out: Fetching @llvm; fetching 8s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 27,262,976b 5s
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (385 packag\
out: es loaded, 11119 targets configured)
out: Fetching @llvm; fetching 9s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 29,360,154b 6s
out: Fetching @aws; fetching 5s
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out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (385 packag\
out: es loaded, 11119 targets configured)
out: Fetching @llvm; fetching 9s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 29,360,154b 6s
out: Fetching @aws; fetching 5s
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out: Fetching https://storage.googleapis.com/.../pasta/archive/v0.1.2.tar.gz
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (386 packag\
out: es loaded, 11171 targets configured)
out: Fetching @llvm; fetching 9s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 31,457,306b 6s
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out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (386 packag\
out: es loaded, 11171 targets configured)
out: Fetching @llvm; fetching 10s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 33,554,458b 6s
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out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (386 packag\
out: es loaded, 11171 targets configured)
out: Fetching @llvm; fetching 10s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 33,554,458b 7s
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out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (386 packag\
out: es loaded, 11171 targets configured)
out: Fetching @llvm; fetching 10s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 35,651,610b 7s
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (386 packag\
out: es loaded, 11171 targets configured)
out: Fetching @llvm; fetching 11s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 35,651,610b 7s
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out:
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (386 packag\
out: es loaded, 11171 targets configured)
out: Fetching @llvm; fetching 11s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 37,748,736b 8s
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (386 packag\
out: es loaded, 11171 targets configured)
out: Fetching @llvm; fetching 11s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 39,845,914b 8s
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out: es loaded, 11171 targets configured)
out: Fetching @llvm; fetching 11s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 39,845,914b 8s
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out: es loaded, 11171 targets configured)
out: Fetching @llvm; fetching 12s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 41,943,040b 8s
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out: es loaded, 11192 targets configured)
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out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 41,943,040b 9s
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out: es loaded, 11192 targets configured)
out: Fetching @llvm; fetching 12s
out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 44,040,218b 9s
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out: es loaded, 11328 targets configured)
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out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 44,040,218b 9s
out: Fetching @nasm; fetching 4s
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out: Fetching http://pkgs.fedoraproject.org/.../nasm-2.13.03.tar.bz2; 92,521b
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out: es loaded, 11420 targets configured)
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out: Fetching https://github.com/...49b51213fe5784eeff84.tar.gz; 46,137,344b 9s
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out: Fetching http://pkgs.fedoraproject.org/.../nasm-2.13.03.tar.bz2; 338,665b
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out: es loaded, 11538 targets configured)
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out: Fetching https://github.com/...9b51213fe5784eeff84.tar.gz; 48,234,522b 10s
out: Fetching @nasm; fetching 4s
out: Fetching http://pkgs.fedoraproject.org/.../nasm-2.13.03.tar.bz2; 338,665b
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out: es loaded, 11538 targets configured)
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (392 packag\
out: es loaded, 11538 targets configured)
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out: Fetching @nasm; fetching 5s
out: Fetching @jpeg; fetching
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out: es loaded, 11815 targets configured)
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out: es loaded, 12519 targets configured)
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out: es loaded, 12990 targets configured)
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out: es loaded, 12990 targets configured)
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out: es loaded, 12990 targets configured)
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out: es loaded, 14157 targets configured)
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out: es loaded, 14376 targets configured)
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out: es loaded, 14534 targets configured)
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out: Fetching https://storage.googleapis.com/.../pub/pcre/pcre-8.42.tar.gz
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out: es loaded, 14534 targets configured)
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (401 packag\
out: es loaded, 14631 targets configured)
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out: es loaded, 14631 targets configured)
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out: es loaded, 14655 targets configured)
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out: es loaded, 14655 targets configured)
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out: es loaded, 15144 targets configured)
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out: es loaded, 15185 targets configured)
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out: es loaded, 15210 targets configured)
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out: es loaded, 15265 targets configured)
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:646:12: in srcs attribute of cc_library rule //tensorflow/core:lib_proto_parsing: please do not import '//tensorflow/core/platform:protobuf.cc' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (407 packag\
out: es loaded, 15502 targets configured)
out: Fetching @llvm; fetching 18s
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out: es loaded, 16061 targets configured)
out: Fetching @llvm; fetching 19s
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (407 packag\
out: es loaded, 16061 targets configured)
out: Fetching @llvm; fetching 19s
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (407 packag\
out: es loaded, 16061 targets configured)
out: Fetching @llvm; fetching 19s
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out: es loaded, 16098 targets configured)
out: Fetching @llvm; fetching 19s
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out: es loaded, 16410 targets configured)
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out: es loaded, 17798 targets configured)
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out: es loaded, 17802 targets configured)
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out: es loaded, 17937 targets configured)
out: Fetching @llvm; fetching 20s
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18008 targets configured)
out: Fetching @llvm; fetching 21s
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:abi.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:byte_order.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:context.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:cord.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:cpu_feature_guard.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:cpu_info.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:cuda_libdevice_path.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:demangle.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:denormal.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:dynamic_annotations.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:env.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:env_time.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:error.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:file_statistics.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:file_system.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
out:
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:file_system_helper.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
out:
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:fingerprint.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:grpc_services.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18021 targets configured)
out: Fetching @llvm; fetching 21s
out: Fetching @org_python_license; fetching
out:
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:host_info.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:human_readable_json.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:load_library.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:logger.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:logging.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:macros.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:mem.h' directly. You should either move the file to this package or depend on an appropriate rule there
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:monitoring.h' directly. You should either move the file to this package or depend on an appropriate rule there
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:mutex.h' directly. You should either move the file to this package or depend on an appropriate rule there
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:net.h' directly. You should either move the file to this package or depend on an appropriate rule there
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:notification.h' directly. You should either move the file to this package or depend on an appropriate rule there
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:numa.h' directly. You should either move the file to this package or depend on an appropriate rule there
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:platform.h' directly. You should either move the file to this package or depend on an appropriate rule there
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:platform_strings.h' directly. You should either move the file to this package or depend on an appropriate rule there
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:platform_strings_computed.h' directly. You should either move the file to this package or depend on an appropriate rule there
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:protobuf.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:protobuf_compiler.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:protobuf_internal.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:regexp.h' directly. You should either move the file to this package or depend on an appropriate rule there
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:rocm_rocdl_path.h' directly. You should either move the file to this package or depend on an appropriate rule there
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:setround.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:snappy.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:stacktrace.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:stacktrace_handler.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:stream_executor_no_cuda.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:stringpiece.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:strong_hash.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:subprocess.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:tensor_coding.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:test.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:test_benchmark.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18022 targets configured)
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:thread_annotations.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
out: es loaded, 18022 targets configured)
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:tracing.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:types.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:unbounded_work_queue.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/platform:str_util.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: WARNING: /home/ubuntu/repos/tensorflow-for-py3/tensorflow/core/BUILD:2454:12: in srcs attribute of cc_library rule //tensorflow/core:lib_internal_impl: please do not import '//tensorflow/core/lib/bfloat16:bfloat16.h' directly. You should either move the file to this package or depend on an appropriate rule there
out: Analyzing: target //tensorflow/tools/pip_package:build_pip_package (414 packag\
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out: tensorflow/c/kernels/ops/bitcast.cc:48:12: warning: 'output_type_size' may be used uninitialized in this function [-Wmaybe-uninitialized]
out: size_t divisor_val = input_type_size / output_type_size;
out: ^~~~~~~~~~~
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out: size_t output_type_size;
out: ^~~~~~~~~~~~~~~~
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out: ^~~~~~~~~~~
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out: ~~~~~~^~~~~~~~~~~~~~~~~~~~~
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out: ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
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out: ~~^~~~~~~~~~~~~~~
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out: [-----] Linking tensorflow/core/libclustering_ops_op_lib.lo [for host]
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out: tensorflow/compiler/tf2xla/ops/xla_ops.cc: In lambda function:
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:440:18: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: if (rank < dimensions_to_reduce.size() ||
out: ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc: In lambda function:
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:666:18: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: if (rank_a != lhs_rhs_split[0].size()) {
out: ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:672:18: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: if (rank_b != lhs_rhs_split[1].size()) {
out: ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:678:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: for (int i = 0; i < lhs_rhs_split[0].size(); ++i) {
out: ~~^~~~~~~~~~~~~~~~~~~~~~~~~
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:681:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: for (int i = 0; i < lhs_rhs_split[1].size(); ++i) {
out: ~~^~~~~~~~~~~~~~~~~~~~~~~~~
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc: In static member function 'static tensorflow::Status tensorflow::{anonymous}::<lambda(tensorflow::shape_inference::InferenceContext*)>::_FUN(tensorflow::shape_inference::InferenceContext*)':
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:244:74: warning: 'rhs_batch_dimension_or_constant.tensorflow::shape_inference::DimensionOrConstant::val' may be used uninitialized in this function [-Wmaybe-uninitialized]
out: lhs_batch_dimension_size, " and ", rhs_batch_dimension_size);
out: ^
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:244:74: warning: 'lhs_batch_dimension_or_constant.tensorflow::shape_inference::DimensionOrConstant::val' may be used uninitialized in this function [-Wmaybe-uninitialized]
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:213:45: warning: 'rhs_contracting_dimension_or_constant.tensorflow::shape_inference::DimensionOrConstant::val' may be used uninitialized in this function [-Wmaybe-uninitialized]
out: rhs_contracting_dimension_size);
out: ^
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:213:45: warning: 'lhs_contracting_dimension_or_constant.tensorflow::shape_inference::DimensionOrConstant::val' may be used uninitialized in this function [-Wmaybe-uninitialized]
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out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:244:74: warning: 'rhs_batch_dimension_or_constant.tensorflow::shape_inference::DimensionOrConstant::val' may be used uninitialized in this function [-Wmaybe-uninitialized]
out: lhs_batch_dimension_size, " and ", rhs_batch_dimension_size);
out: ^
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:244:74: warning: 'lhs_batch_dimension_or_constant.tensorflow::shape_inference::DimensionOrConstant::val' may be used uninitialized in this function [-Wmaybe-uninitialized]
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:213:45: warning: 'rhs_contracting_dimension_or_constant.tensorflow::shape_inference::DimensionOrConstant::val' may be used uninitialized in this function [-Wmaybe-uninitialized]
out: rhs_contracting_dimension_size);
out: ^
out: tensorflow/compiler/tf2xla/ops/xla_ops.cc:213:45: warning: 'lhs_contracting_dimension_or_constant.tensorflow::shape_inference::DimensionOrConstant::val' may be used uninitialized in this function [-Wmaybe-uninitialized]
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out: for (i = 0; i < input_size; ++i) {
out: ~~^~~~~~~~~~~~
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out: tensorflow/lite/minimal_logging_default.cc:26:0: warning: ignoring #pragma clang diagnostic [-Wunknown-pragmas]
out: #pragma clang diagnostic push
out:
out: tensorflow/lite/minimal_logging_default.cc:27:0: warning: ignoring #pragma clang diagnostic [-Wunknown-pragmas]
out: #pragma clang diagnostic ignored "-Wformat-nonliteral"
out:
out: tensorflow/lite/minimal_logging_default.cc:29:0: warning: ignoring #pragma clang diagnostic [-Wunknown-pragmas]
out: #pragma clang diagnostic pop
out:
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out: tensorflow/lite/experimental/ruy/thread_pool.cc: In member function 'void ruy::ThreadPool::CreateThreads(int)':
out: tensorflow/lite/experimental/ruy/thread_pool.cc:184:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: if (threads_.size() >= threads_count) {
out: ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
out: tensorflow/lite/experimental/ruy/thread_pool.cc:188:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: while (threads_.size() < threads_count) {
out: ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
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out:
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out: tensorflow/lite/delegates/nnapi/quant_lstm_sup.cc: In function 'void tflite::delegate::nnapi::ExtractQuantLstmWeightsSubmatrix(const TfLiteIntArray*, int32_t, int32_t, const TfLiteIntArray*, const uint8_t*, std::vector<unsigned char>*)':
out: tensorflow/lite/delegates/nnapi/quant_lstm_sup.cc:39:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: for (uint32_t i = 0; i < submatrix_rows * submatrix_cols; ++i) {
out: ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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out:
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out:
out: 
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out: 
out: In file included from tensorflow/lite/delegates/nnapi/nnapi_delegate.cc:49:0:
out: ./tensorflow/lite/delegates/nnapi/nnapi_delegate_kernel.h: In member function 'int tflite::delegate::nnapi::OperandMapping::lite_index_to_ann(int) const':
out: ./tensorflow/lite/delegates/nnapi/nnapi_delegate_kernel.h:41:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: if (index >= 0 && index < lite_tensor_to_ann_tensor_.size())
out: ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: ./tensorflow/lite/delegates/nnapi/nnapi_delegate_kernel.h: In member function 'int tflite::delegate::nnapi::OperandMapping::add_new_ann_tensor_index(int)':
out: ./tensorflow/lite/delegates/nnapi/nnapi_delegate_kernel.h:62:22: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: if (tflite_index >= lite_tensor_to_ann_tensor_.size()) {
out: ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: ./tensorflow/lite/delegates/nnapi/nnapi_delegate_kernel.h: In member function 'TfLiteType tflite::delegate::nnapi::OperandMapping::lite_index_to_ann_type_conversion(int) const':
out: ./tensorflow/lite/delegates/nnapi/nnapi_delegate_kernel.h:74:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: if (index >= 0 && index < index_to_type_conversion_.size())
out: ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: ./tensorflow/lite/delegates/nnapi/nnapi_delegate_kernel.h: In member function 'void tflite::delegate::nnapi::OperandMapping::add_type_conversion(int, TfLiteType)':
out: ./tensorflow/lite/delegates/nnapi/nnapi_delegate_kernel.h:82:22: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: if (tflite_index >= index_to_type_conversion_.size()) {
out: ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: tensorflow/lite/delegates/nnapi/nnapi_delegate.cc: In member function 'TfLiteStatus tflite::delegate::nnapi::NNAPIDelegateKernel::Init(TfLiteContext*, const TfLiteDelegateParams*)':
out: tensorflow/lite/delegates/nnapi/nnapi_delegate.cc:2677:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: for (int i = 0; i < 4 * sizeof(uint64_t); i++) {
out: ~~^~~~~~~~~~~~~
out: tensorflow/lite/delegates/nnapi/nnapi_delegate.cc: In member function 'TfLiteStatus tflite::delegate::nnapi::NNAPIDelegateKernel::Invoke(TfLiteContext*, TfLiteNode*)':
out: tensorflow/lite/delegates/nnapi/nnapi_delegate.cc:2731:33: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: tensor->buffer_handle < tensor_memory_map_->size()) {
out: ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: tensorflow/lite/delegates/nnapi/nnapi_delegate.cc:2811:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: tensor->buffer_handle < tensor_memory_map_->size()) {
out: ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: tensorflow/lite/delegates/nnapi/nnapi_delegate.cc: In static member function 'static TfLiteStatus tflite::StatefulNnApiDelegate::DoCopyFromBufferHandle(TfLiteContext*, TfLiteDelegate*, TfLiteBufferHandle, TfLiteTensor*)':
out: tensorflow/lite/delegates/nnapi/nnapi_delegate.cc:3348:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: buffer_handle >= delegate_data->tensor_memory_map.size()) {
out: ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: tensorflow/lite/delegates/nnapi/nnapi_delegate.cc: In static member function 'static void tflite::StatefulNnApiDelegate::DoFreeBufferHandle(TfLiteContext*, TfLiteDelegate*, TfLiteBufferHandle*)':
out: tensorflow/lite/delegates/nnapi/nnapi_delegate.cc:3371:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
out: if (*handle >= 0 && *handle < delegate_data->tensor_memory_map.size()) {
out: ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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out: Compiling tensorflow/lite/kernels/mul.cc [for host]; 4s local
out:
out: 
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out: 
out: 
out: INFO: From Compiling tensorflow/lite/kernels/audio_spectrogram.cc [for host]:
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out: Compiling tensorflow/lite/kernels/activations.cc [for host]; 9s local
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out: Compiling tensorflow/lite/kernels/mul.cc [for host]; 5s local
out:
out: 
out: 
out: 
out: 
out: In file included from external/gemmlowp/fixedpoint/fixedpoint.h:895:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:38,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/gemmlowp/fixedpoint/./fixedpoint_sse.h:43:39: warning: ignoring attributes on template argument '__m128i {aka __vector(2) long long int}' [-Wignored-attributes]
out: struct FixedPointRawTypeTraits<__m128i> {
out: ^
out: In file included from external/gemmlowp/public/../internal/simd_wrappers.h:664:0,
out: from external/gemmlowp/public/../internal/output.h:29,
out: from external/gemmlowp/public/../internal/unpack.h:23,
out: from external/gemmlowp/public/../internal/single_thread_gemm.h:29,
out: from external/gemmlowp/public/../internal/multi_thread_gemm.h:27,
out: from external/gemmlowp/public/../internal/dispatch_gemm_shape.h:23,
out: from external/gemmlowp/public/gemmlowp.h:19,
out: from ./tensorflow/lite/kernels/cpu_backend_context.h:21,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:41,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/gemmlowp/public/../internal/simd_wrappers_sse.h:31:72: warning: ignoring attributes on template argument 'gemmlowp::Int32x4 {aka __vector(2) long long int}' [-Wignored-attributes]
out: typename std::conditional<ScalarCount >= 4, Int32x4, std::int32_t>::type;
out: ^
out: external/gemmlowp/public/../internal/simd_wrappers_sse.h:37:72: warning: ignoring attributes on template argument 'gemmlowp::Int16x8 {aka __vector(2) long long int}' [-Wignored-attributes]
out: typename std::conditional<ScalarCount >= 8, Int16x8, std::int16_t>::type;
out: ^
out: external/gemmlowp/public/../internal/simd_wrappers_sse.h:45:52: warning: ignoring attributes on template argument 'gemmlowp::Uint8x16 {aka __vector(2) long long int}' [-Wignored-attributes]
out: std::uint8_t>::type>::type;
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h: In function 'void vst1q_lane_f32(float32_t*, float32x4_t, int)':
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:9725:31: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]
out: *(ptr) = *((float*)&ilane);
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h: In function 'float32_t vgetq_lane_f32(float32x4_t, int)':
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:11964:22: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]
out: return *(float*)&ilane;
out: ^~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h: In function 'void tflite::cpu_backend_gemm::detail::ClampAndStore(int32x4_t, uint8_t, uint8_t, uint8_t*)':
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:237:43: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res8 = vmax_u8(res8, vdup_n_u8(clamp_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:238:43: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res8 = vmin_u8(res8, vdup_n_u8(clamp_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h: In function 'void tflite::cpu_backend_gemm::detail::ClampAndStore(int32x4_t, int8_t, int8_t, int8_t*)':
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:253:43: warning: 'int8x8_t vdup_n_s8(int8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res8 = vmax_s8(res8, vdup_n_s8(clamp_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12218:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int8x8_t vdup_n_s8(int8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:254:43: warning: 'int8x8_t vdup_n_s8(int8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res8 = vmin_s8(res8, vdup_n_s8(clamp_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12218:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int8x8_t vdup_n_s8(int8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h: In function 'void tflite::cpu_backend_gemm::detail::ClampAndStore(int32x4_t, int16_t, int16_t, int16_t*)':
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:267:47: warning: 'int16x4_t vdup_n_s16(int16_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res16 = vmax_s16(res16, vdup_n_s16(clamp_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12229:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int16x4_t vdup_n_s16(int16_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:268:47: warning: 'int16x4_t vdup_n_s16(int16_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res16 = vmin_s16(res16, vdup_n_s16(clamp_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12229:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int16x4_t vdup_n_s16(int16_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::ShuffledFullyConnectedWorkerImpl(const uint8*, const int8*, int, int, int, int, const int32*, int32, int, int16*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:425:59: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, vdupq_n_s32(left_shift));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:427:59: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_n_s32(reduced, output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:516:57: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, vdupq_n_s32(left_shift)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:524:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(0);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:517:57: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_n_s32(reduced, output_multiplier); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:524:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(0);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:516:57: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, vdupq_n_s32(left_shift)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:525:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(1);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:517:57: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_n_s32(reduced, output_multiplier); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:525:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(1);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:516:57: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, vdupq_n_s32(left_shift)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:526:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(2);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:517:57: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_n_s32(reduced, output_multiplier); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:526:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(2);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:516:57: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, vdupq_n_s32(left_shift)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:527:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(3);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:517:57: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_n_s32(reduced, output_multiplier); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:527:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(3);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::AddElementwise(int, const tflite::ArithmeticParams&, const uint8*, const uint8*, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1556:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_min);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1558:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_max);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1579:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vshlq_s32(x11, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1580:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vshlq_s32(x12, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1581:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vshlq_s32(x21, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1582:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vshlq_s32(x22, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1583:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vqrdmulhq_n_s32(x11, params.input1_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1584:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vqrdmulhq_n_s32(x12, params.input1_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1585:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vqrdmulhq_n_s32(x21, params.input2_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1586:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vqrdmulhq_n_s32(x22, params.input2_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1589:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vshlq_s32(x11, input1_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1590:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vshlq_s32(x12, input1_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1591:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vshlq_s32(x21, input2_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1592:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vshlq_s32(x22, input2_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1595:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: s1 = vqrdmulhq_n_s32(s1, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1596:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: s2 = vqrdmulhq_n_s32(s2, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::AddScalarBroadcast(int, const tflite::ArithmeticParams&, uint8, const uint8*, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1653:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_min);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1655:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_max);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1658:62: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: const uint8x8_t input1_val_original = vdup_n_u8(input1_data);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1667:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vshlq_s32(x11, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1668:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vshlq_s32(x12, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1669:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vqrdmulhq_n_s32(x11, params.input1_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1670:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vqrdmulhq_n_s32(x12, params.input1_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1672:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vshlq_s32(x11, input1_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1673:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vshlq_s32(x12, input1_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1685:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vshlq_s32(x21, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1686:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vshlq_s32(x22, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1687:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vqrdmulhq_n_s32(x21, params.input2_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1688:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vqrdmulhq_n_s32(x22, params.input2_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1690:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vshlq_s32(x21, input2_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1691:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vshlq_s32(x22, input2_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1694:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: s1 = vqrdmulhq_n_s32(s1, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1695:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: s2 = vqrdmulhq_n_s32(s2, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::MulElementwise(int, const tflite::ArithmeticParams&, const uint8*, const uint8*, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2083:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_min);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2085:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_max);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2108:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: p1 = vshlq_s32(p1, left_shift_vec);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2109:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: p2 = vshlq_s32(p2, left_shift_vec);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2110:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: p1 = vqrdmulhq_n_s32(p1, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2111:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: p2 = vqrdmulhq_n_s32(p2, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::MulSimpleBroadcast(int, const tflite::ArithmeticParams&, uint8, const uint8*, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2159:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_min);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2161:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_max);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2178:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: p1 = vshlq_s32(p1, left_shift_vec);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2179:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: p2 = vshlq_s32(p2, left_shift_vec);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2180:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: p1 = vqrdmulhq_n_s32(p1, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2181:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: p2 = vqrdmulhq_n_s32(p2, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::AveragePool16(const tflite::PoolParams&, const tflite::RuntimeShape&, const uint8*, const tflite::RuntimeShape&, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3052:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3057:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(9)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3053:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3057:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(9)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3052:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3058:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(15)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3053:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3058:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(15)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3066:75: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3067:75: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::AveragePool32(const tflite::PoolParams&, const tflite::RuntimeShape&, const uint8*, const tflite::RuntimeShape&, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3190:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3195:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(9)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3191:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3195:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(9)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3190:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3196:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(15)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3191:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3196:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(15)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3204:75: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3205:75: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::MaxPool(const tflite::PoolParams&, const tflite::RuntimeShape&, const uint8*, const tflite::RuntimeShape&, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3378:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: a = vmin_u8(a, vdup_n_u8(params.quantized_activation_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/audio_spectrogram.cc:18:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3379:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: a = vmax_u8(a, vdup_n_u8(params.quantized_activation_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h: In instantiation of 'static void tflite::cpu_backend_gemm::detail::CustomGemvImpl<LhsScalar, RhsScalar, int, DstScalar, quantization_flavor>::Run(const tflite::cpu_backend_gemm::MatrixParams<LhsScalar>&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<RhsScalar>&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<DstScalar>&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams<int, DstScalar, quantization_flavor>&, int, int) [with LhsScalar = unsigned char; RhsScalar = unsigned char; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = (tflite::cpu_backend_gemm::QuantizationFlavor)1]':
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:162:14: required from 'bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams<LhsScalar>&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<RhsScalar>&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<DstScalar>&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams<AccumScalar, DstScalar, quantization_flavor>&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = (tflite::cpu_backend_gemm::QuantizationFlavor)1]'
out: ./tensorflow/lite/kernels/cpu_backend_gemm.h:99:27: required from 'void tflite::cpu_backend_gemm::Gemm(const tflite::cpu_backend_gemm::MatrixParams<LhsScalar>&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<RhsScalar>&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<DstScalar>&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams<AccumScalar, DstScalar, quantization_flavor>&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = (tflite::cpu_backend_gemm::QuantizationFlavor)1]'
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:296:45: required from here
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:566:26: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, exponent_positive_part);
out: ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:566:26: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, exponent_positive_part);
out: ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:566:26: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, exponent_positive_part);
out: ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:568:30: warning: 'int32x4_t vqrdmulhq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_s32(reduced, multiplier_fixedpoint);
out: ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:4310:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:568:30: warning: 'int32x4_t vqrdmulhq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_s32(reduced, multiplier_fixedpoint);
out: ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:4310:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:568:30: warning: 'int32x4_t vqrdmulhq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_s32(reduced, multiplier_fixedpoint);
out: ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:4310:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:572:27: warning: 'int32x4_t vrshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vrshlq_s32(reduced, exponent_negative_part);
out: ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7342:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vrshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:572:27: warning: 'int32x4_t vrshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vrshlq_s32(reduced, exponent_negative_part);
out: ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7342:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vrshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:572:27: warning: 'int32x4_t vrshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vrshlq_s32(reduced, exponent_negative_part);
out: ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7342:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vrshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h: In instantiation of 'static void tflite::cpu_backend_gemm::detail::CustomGemvImpl<LhsScalar, RhsScalar, int, DstScalar, quantization_flavor>::Run(const tflite::cpu_backend_gemm::MatrixParams<LhsScalar>&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<RhsScalar>&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<DstScalar>&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams<int, DstScalar, quantization_flavor>&, int, int) [with LhsScalar = unsigned char; RhsScalar = unsigned char; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = (tflite::cpu_backend_gemm::QuantizationFlavor)1]':
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:162:14: required from 'bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams<LhsScalar>&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<RhsScalar>&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<DstScalar>&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams<AccumScalar, DstScalar, quantization_flavor>&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = (tflite::cpu_backend_gemm::QuantizationFlavor)1]'
out: ./tensorflow/lite/kernels/cpu_backend_gemm.h:99:27: required from 'void tflite::cpu_backend_gemm::Gemm(const tflite::cpu_backend_gemm::MatrixParams<LhsScalar>&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<RhsScalar>&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<DstScalar>&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams<AccumScalar, DstScalar, quantization_flavor>&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = (tflite::cpu_backend_gemm::QuantizationFlavor)1]'
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:353:45: required from here
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:566:26: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, exponent_positive_part);
out: ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:566:26: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, exponent_positive_part);
out: ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:566:26: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, exponent_positive_part);
out: ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:568:30: warning: 'int32x4_t vqrdmulhq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_s32(reduced, multiplier_fixedpoint);
out: ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:4310:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:568:30: warning: 'int32x4_t vqrdmulhq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_s32(reduced, multiplier_fixedpoint);
out: ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:4310:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:568:30: warning: 'int32x4_t vqrdmulhq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_s32(reduced, multiplier_fixedpoint);
out: ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:4310:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:572:27: warning: 'int32x4_t vrshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vrshlq_s32(reduced, exponent_negative_part);
out: ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7342:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vrshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:572:27: warning: 'int32x4_t vrshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vrshlq_s32(reduced, exponent_negative_part);
out: ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7342:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vrshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:572:27: warning: 'int32x4_t vrshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vrshlq_s32(reduced, exponent_negative_part);
out: ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:41,
out: from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/audio_spectrogram.cc:18:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7342:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vrshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
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out: Compiling .../lite/kernels/audio_spectrogram.cc [for host]; 8s local
out: Compiling tensorflow/lite/kernels/arg_min_max.cc [for host]; 6s local
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out: Compiling tensorflow/lite/kernels/arg_min_max.cc [for host]; 7s local
out: Compiling tensorflow/lite/kernels/mul.cc [for host]; 6s local
out: [-----] Compiling tensorflow/lite/kernels/batch_to_space_nd.cc [for host]
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out: Compiling tensorflow/lite/kernels/arg_min_max.cc [for host]; 7s local
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out: Compiling .../lite/kernels/batch_to_space_nd.cc [for host]; 0s local
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out: Compiling .../lite/kernels/batch_to_space_nd.cc [for host]; 1s local
out:
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out: INFO: From Compiling tensorflow/lite/kernels/activations.cc [for host]:
out: [2,297 / 2,465] 4 actions running
out: Compiling tensorflow/lite/kernels/activations.cc [for host]; 12s local
out: Compiling tensorflow/lite/kernels/arg_min_max.cc [for host]; 8s local
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out: Compiling .../lite/kernels/batch_to_space_nd.cc [for host]; 1s local
out:
out: 
out: 
out: 
out: 
out: In file included from external/gemmlowp/fixedpoint/fixedpoint.h:895:0,
out: from ./tensorflow/lite/kernels/internal/common.h:24,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/gemmlowp/fixedpoint/./fixedpoint_sse.h:43:39: warning: ignoring attributes on template argument '__m128i {aka __vector(2) long long int}' [-Wignored-attributes]
out: struct FixedPointRawTypeTraits<__m128i> {
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h: In function 'void vst1q_lane_f32(float32_t*, float32x4_t, int)':
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:9725:31: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]
out: *(ptr) = *((float*)&ilane);
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h: In function 'float32_t vgetq_lane_f32(float32x4_t, int)':
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:11964:22: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]
out: return *(float*)&ilane;
out: ^~~~~
out: In file included from external/gemmlowp/public/../internal/simd_wrappers.h:664:0,
out: from external/gemmlowp/public/../internal/output.h:29,
out: from external/gemmlowp/public/../internal/unpack.h:23,
out: from external/gemmlowp/public/../internal/single_thread_gemm.h:29,
out: from external/gemmlowp/public/../internal/multi_thread_gemm.h:27,
out: from external/gemmlowp/public/../internal/dispatch_gemm_shape.h:23,
out: from external/gemmlowp/public/gemmlowp.h:19,
out: from ./tensorflow/lite/kernels/cpu_backend_context.h:21,
out: from ./tensorflow/lite/kernels/internal/optimized/cpu_check.h:18,
out: from ./tensorflow/lite/kernels/internal/optimized/integer_ops/softmax.h:21,
out: from tensorflow/lite/kernels/activations.cc:27:
out: external/gemmlowp/public/../internal/simd_wrappers_sse.h: At global scope:
out: external/gemmlowp/public/../internal/simd_wrappers_sse.h:31:72: warning: ignoring attributes on template argument 'gemmlowp::Int32x4 {aka __vector(2) long long int}' [-Wignored-attributes]
out: typename std::conditional<ScalarCount >= 4, Int32x4, std::int32_t>::type;
out: ^
out: external/gemmlowp/public/../internal/simd_wrappers_sse.h:37:72: warning: ignoring attributes on template argument 'gemmlowp::Int16x8 {aka __vector(2) long long int}' [-Wignored-attributes]
out: typename std::conditional<ScalarCount >= 8, Int16x8, std::int16_t>::type;
out: ^
out: external/gemmlowp/public/../internal/simd_wrappers_sse.h:45:52: warning: ignoring attributes on template argument 'gemmlowp::Uint8x16 {aka __vector(2) long long int}' [-Wignored-attributes]
out: std::uint8_t>::type>::type;
out: ^
out: In file included from tensorflow/lite/kernels/activations.cc:27:0:
out: ./tensorflow/lite/kernels/internal/optimized/integer_ops/softmax.h: In function 'void tflite::optimized_integer_ops::Softmax(const tflite::SoftmaxParams&, const tflite::RuntimeShape&, const int8*, const tflite::RuntimeShape&, int8*)':
out: ./tensorflow/lite/kernels/internal/optimized/integer_ops/softmax.h:77:58: warning: 'int8x8_t vext_s8(int8x8_t, int8x8_t, int)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: int8x8_t max4 = vmax_s8(max8, vext_s8(max8, max8, 4));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:14271:57: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int8x8_t vext_s8(int8x8_t a, int8x8_t b, __constrange(0,7) int c),_NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:27:0:
out: ./tensorflow/lite/kernels/internal/optimized/integer_ops/softmax.h:78:58: warning: 'int8x8_t vext_s8(int8x8_t, int8x8_t, int)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: int8x8_t max2 = vmax_s8(max4, vext_s8(max4, max4, 2));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:14271:57: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int8x8_t vext_s8(int8x8_t a, int8x8_t b, __constrange(0,7) int c),_NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:27:0:
out: ./tensorflow/lite/kernels/internal/optimized/integer_ops/softmax.h:89:65: warning: ignoring attributes on template argument 'int32x4_t {aka __vector(2) long long int}' [-Wignored-attributes]
out: gemmlowp::FixedPoint<int32x4_t, kAccumulationIntegerBits>;
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/integer_ops/softmax.h:91:63: warning: ignoring attributes on template argument 'int32x4_t {aka __vector(2) long long int}' [-Wignored-attributes]
out: gemmlowp::FixedPoint<int32x4_t, kScaledDiffIntegerBits>;
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/integer_ops/softmax.h:92:65: warning: ignoring attributes on template argument 'int32x4_t {aka __vector(2) long long int}' [-Wignored-attributes]
out: using FixedPoint0Int32x4 = gemmlowp::FixedPoint<int32x4_t, 0>;
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/integer_ops/softmax.h:194:75: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: vqrdmulhq_n_s32(exp_0.raw(), shifted_scale.raw()),
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:27:0:
out: ./tensorflow/lite/kernels/internal/optimized/integer_ops/softmax.h:199:75: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: vqrdmulhq_n_s32(exp_1.raw(), shifted_scale.raw()),
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:27:0:
out: ./tensorflow/lite/kernels/internal/optimized/integer_ops/softmax.h:205:73: warning: 'int8x8_t vdup_n_s8(int8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: int8x8_t masked_output = vbsl_s8(mask, output_s8, vdup_n_s8(-128));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12218:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int8x8_t vdup_n_s8(int8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/activations.cc:28:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h: In function 'void tflite::cpu_backend_gemm::detail::ClampAndStore(int32x4_t, uint8_t, uint8_t, uint8_t*)':
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:237:43: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res8 = vmax_u8(res8, vdup_n_u8(clamp_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/activations.cc:28:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:238:43: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res8 = vmin_u8(res8, vdup_n_u8(clamp_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/activations.cc:28:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h: In function 'void tflite::cpu_backend_gemm::detail::ClampAndStore(int32x4_t, int8_t, int8_t, int8_t*)':
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:253:43: warning: 'int8x8_t vdup_n_s8(int8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res8 = vmax_s8(res8, vdup_n_s8(clamp_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12218:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int8x8_t vdup_n_s8(int8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/activations.cc:28:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:254:43: warning: 'int8x8_t vdup_n_s8(int8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res8 = vmin_s8(res8, vdup_n_s8(clamp_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12218:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int8x8_t vdup_n_s8(int8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/activations.cc:28:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h: In function 'void tflite::cpu_backend_gemm::detail::ClampAndStore(int32x4_t, int16_t, int16_t, int16_t*)':
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:267:47: warning: 'int16x4_t vdup_n_s16(int16_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res16 = vmax_s16(res16, vdup_n_s16(clamp_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12229:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int16x4_t vdup_n_s16(int16_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/activations.cc:28:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:268:47: warning: 'int16x4_t vdup_n_s16(int16_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: res16 = vmin_s16(res16, vdup_n_s16(clamp_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12229:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int16x4_t vdup_n_s16(int16_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::ShuffledFullyConnectedWorkerImpl(const uint8*, const int8*, int, int, int, int, const int32*, int32, int, int16*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:425:59: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, vdupq_n_s32(left_shift));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:427:59: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_n_s32(reduced, output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:516:57: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, vdupq_n_s32(left_shift)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:524:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(0);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:517:57: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_n_s32(reduced, output_multiplier); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:524:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(0);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:516:57: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, vdupq_n_s32(left_shift)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:525:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(1);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:517:57: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_n_s32(reduced, output_multiplier); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:525:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(1);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:516:57: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, vdupq_n_s32(left_shift)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:526:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(2);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:517:57: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_n_s32(reduced, output_multiplier); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:526:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(2);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:516:57: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, vdupq_n_s32(left_shift)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:527:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(3);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:517:57: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vqrdmulhq_n_s32(reduced, output_multiplier); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:527:7: note: in expansion of macro 'TFLITE_SHUFFLED_FC_STORE'
out: TFLITE_SHUFFLED_FC_STORE(3);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::AddElementwise(int, const tflite::ArithmeticParams&, const uint8*, const uint8*, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1556:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_min);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1558:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_max);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1579:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vshlq_s32(x11, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1580:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vshlq_s32(x12, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1581:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vshlq_s32(x21, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1582:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vshlq_s32(x22, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1583:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vqrdmulhq_n_s32(x11, params.input1_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1584:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vqrdmulhq_n_s32(x12, params.input1_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1585:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vqrdmulhq_n_s32(x21, params.input2_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1586:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vqrdmulhq_n_s32(x22, params.input2_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1589:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vshlq_s32(x11, input1_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1590:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vshlq_s32(x12, input1_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1591:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vshlq_s32(x21, input2_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1592:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vshlq_s32(x22, input2_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1595:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: s1 = vqrdmulhq_n_s32(s1, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1596:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: s2 = vqrdmulhq_n_s32(s2, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::AddScalarBroadcast(int, const tflite::ArithmeticParams&, uint8, const uint8*, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1653:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_min);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1655:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_max);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1658:62: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: const uint8x8_t input1_val_original = vdup_n_u8(input1_data);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1667:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vshlq_s32(x11, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1668:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vshlq_s32(x12, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1669:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vqrdmulhq_n_s32(x11, params.input1_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1670:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vqrdmulhq_n_s32(x12, params.input1_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1672:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x11 = vshlq_s32(x11, input1_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1673:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x12 = vshlq_s32(x12, input1_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1685:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vshlq_s32(x21, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1686:40: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vshlq_s32(x22, left_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1687:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vqrdmulhq_n_s32(x21, params.input2_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1688:56: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vqrdmulhq_n_s32(x22, params.input2_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1690:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x21 = vshlq_s32(x21, input2_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1691:42: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: x22 = vshlq_s32(x22, input2_shift_dup);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1694:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: s1 = vqrdmulhq_n_s32(s1, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:1695:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: s2 = vqrdmulhq_n_s32(s2, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::MulElementwise(int, const tflite::ArithmeticParams&, const uint8*, const uint8*, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2083:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_min);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2085:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_max);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2108:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: p1 = vshlq_s32(p1, left_shift_vec);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2109:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: p2 = vshlq_s32(p2, left_shift_vec);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2110:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: p1 = vqrdmulhq_n_s32(p1, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2111:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: p2 = vqrdmulhq_n_s32(p2, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::MulSimpleBroadcast(int, const tflite::ArithmeticParams&, uint8, const uint8*, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2159:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_min);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2161:48: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: vdup_n_u8(params.quantized_activation_max);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2178:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: p1 = vshlq_s32(p1, left_shift_vec);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2179:38: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: p2 = vshlq_s32(p2, left_shift_vec);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2180:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: p1 = vqrdmulhq_n_s32(p1, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:2181:54: warning: 'int32x4_t vqrdmulhq_n_s32(int32x4_t, int32_t)' is deprecated: The function may be slow due to inefficient x86 SIMD implementation, please try to avoid it [-Wdeprecated-declarations]
out: p2 = vqrdmulhq_n_s32(p2, params.output_multiplier);
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:13967:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vqrdmulhq_n_s32(int32x4_t vec1, int32_t val2), _NEON2SSE_REASON_SLOW_UNEFFECTIVE)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::AveragePool16(const tflite::PoolParams&, const tflite::RuntimeShape&, const uint8*, const tflite::RuntimeShape&, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3052:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3057:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(9)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3053:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3057:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(9)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3052:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3058:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(15)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3053:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3058:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(15)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3066:75: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3067:75: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::AveragePool32(const tflite::PoolParams&, const tflite::RuntimeShape&, const uint8*, const tflite::RuntimeShape&, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3190:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3195:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(9)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3191:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3195:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(9)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3190:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3196:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(15)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3191:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min)); \
out: ^
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3196:11: note: in expansion of macro 'AVGPOOL_DIVIDING_BY'
out: AVGPOOL_DIVIDING_BY(15)
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3204:75: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmin_u8(buf8, vdup_n_u8(params.quantized_activation_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3205:75: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: buf8 = vmax_u8(buf8, vdup_n_u8(params.quantized_activation_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In function 'void tflite::optimized_ops::MaxPool(const tflite::PoolParams&, const tflite::RuntimeShape&, const uint8*, const tflite::RuntimeShape&, uint8*)':
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3378:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: a = vmin_u8(a, vdup_n_u8(params.quantized_activation_max));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from tensorflow/lite/kernels/activations.cc:28:0:
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3379:69: warning: 'uint8x8_t vdup_n_u8(uint8_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: a = vmax_u8(a, vdup_n_u8(params.quantized_activation_min));
out: ^
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:12187:59: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(uint8x8_t vdup_n_u8(uint8_t value), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/activations.cc:28:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h: In instantiation of 'static void tflite::cpu_backend_gemm::detail::CustomGemvImpl<LhsScalar, RhsScalar, int, DstScalar, quantization_flavor>::Run(const tflite::cpu_backend_gemm::MatrixParams<LhsScalar>&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<RhsScalar>&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<DstScalar>&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams<int, DstScalar, quantization_flavor>&, int, int) [with LhsScalar = unsigned char; RhsScalar = unsigned char; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = (tflite::cpu_backend_gemm::QuantizationFlavor)1]':
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:162:14: required from 'bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams<LhsScalar>&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<RhsScalar>&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<DstScalar>&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams<AccumScalar, DstScalar, quantization_flavor>&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = (tflite::cpu_backend_gemm::QuantizationFlavor)1]'
out: ./tensorflow/lite/kernels/cpu_backend_gemm.h:99:27: required from 'void tflite::cpu_backend_gemm::Gemm(const tflite::cpu_backend_gemm::MatrixParams<LhsScalar>&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<RhsScalar>&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams<DstScalar>&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams<AccumScalar, DstScalar, quantization_flavor>&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = (tflite::cpu_backend_gemm::QuantizationFlavor)1]'
out: ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:296:45: required from here
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:566:26: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, exponent_positive_part);
out: ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:76:109: note: in definition of macro '_NEON2SSE_PERFORMANCE_WARNING'
out: #define _NEON2SSE_PERFORMANCE_WARNING(function, explanation) __attribute__((deprecated(explanation))) function
out: ^~~~~~~~
out: In file included from ./tensorflow/lite/kernels/cpu_backend_gemm.h:22:0,
out: from ./tensorflow/lite/kernels/internal/optimized/optimized_ops.h:42,
out: from tensorflow/lite/kernels/activations.cc:28:
out: ./tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:566:26: warning: 'int32x4_t vshlq_s32(int32x4_t, int32x4_t)' is deprecated: The function may be very slow due to the serial implementation, please try to avoid it [-Wdeprecated-declarations]
out: reduced = vshlq_s32(reduced, exponent_positive_part);
out: ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
out: In file included from ./tensorflow/lite/kernels/internal/optimized/neon_check.h:30:0,
out: from ./tensorflow/lite/kernels/internal/common.h:25,
out: from tensorflow/lite/kernels/activations.cc:25:
out: external/arm_neon_2_x86_sse/NEON_2_SSE.h:7050:58: note: declared here
out: _NEON2SSE_INLINE _NEON2SSE_PERFORMANCE_WARNING(int32x4_t vshlq_s32(int32x4_t a, int32x4_t b), _NEON2SSE_REASON_SLOW_SERIAL)
out: ^
out:
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