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src/main/resources/fess_indices/fess/pt-br/stopwords.txt
a ainda alem ambas ambos antes ao aonde aos apos aquele aqueles as assim com como contra contudo cuja cujas cujo cujos da das de dela dele deles demais depois desde desta deste dispoe dispoem diversa diversas diversos do dos durante e ela elas ele
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ci/official/containers/linux_arm64/cuda.packages.txt
libcudnn8=8.9.6.50-1+cuda12.2 libcudnn8-dev=8.9.6.50-1+cuda12.2 # This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image. # For now it ensures that we install at least version 12.3.107 of PTXAS, # since 12.3.103 has a bug.
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ci/official/envs/linux_x86_cuda
source ci/official/envs/linux_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
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src/main/resources/fess_indices/_aws/fess.json
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src/main/resources/fess_indices/_cloud/fess.json
Json - Registered: Mon Apr 22 08:04:10 GMT 2024 - Last Modified: Sat Feb 27 09:26:16 GMT 2021 - 117.3K bytes - Viewed (0) -
.github/bot_config.yml
**1. Installing **TensorFlow-GPU** (TF) prebuilt binaries** Make sure you are using compatible TF and CUDA versions. Please refer following TF version and CUDA version compatibility table. | TF | CUDA | | :-------------: | :-------------: | | 2.5.0 | 11.2 | | 2.4.0 | 11.0 | | 2.1.0 - 2.3.0 | 10.1 |
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
--experimental_cc_shared_library \ --@local_config_cuda//:enable_cuda \ --define framework_shared_object=false \ "somepath(//tensorflow/tools/pip_package:build_pip_package, " \ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cuda_driver + "\ "@local_config_cuda//cuda:cudnn + "\ "@local_config_cuda//cuda:curand + "\ "@local_config_cuda//cuda:cusolver + "\
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configure.py
def set_tf_cuda_version(environ_cp): """Set TF_CUDA_VERSION.""" ask_cuda_version = ( 'Please specify the CUDA SDK version you want to use. ' '[Leave empty to default to CUDA %s]: ') % _DEFAULT_CUDA_VERSION tf_cuda_version = get_from_env_or_user_or_default(environ_cp, 'TF_CUDA_VERSION',
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ci/official/utilities/code_check_full.bats
--@local_config_cuda//:enable_cuda \ --define framework_shared_object=false \ "somepath(//tensorflow/tools/pip_package:wheel, " \ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cuda_driver + "\ "@local_config_cuda//cuda:cudnn + "\ "@local_config_cuda//cuda:curand + "\ "@local_config_cuda//cuda:cusolver + "\
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.bazelrc
build:mkl_aarch64_threadpool -c opt # CUDA: This config refers to building CUDA op kernels with nvcc. build:cuda --repo_env TF_NEED_CUDA=1 build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain build:cuda --@local_config_cuda//:enable_cuda # CUDA: This config refers to building CUDA op kernels with clang. build:cuda_clang --config=cuda # Enable TensorRT optimizations https://developer.nvidia.com/tensorrt
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