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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# bazel test invocation as normal. test:nonpip_filters --test_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:nonpip_filters --build_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:nonpip_filters --test_lang_filters=py --flaky_test_attempts=3 --test_size_filters=small,medium
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# bazel test invocation as normal. test:nonpip_filters --test_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:nonpip_filters --build_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:nonpip_filters --test_lang_filters=py --flaky_test_attempts=3 --test_size_filters=small,medium
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tensorflow/c/eager/c_api_test.cc
#include "tensorflow/core/platform/test.h" #include "tensorflow/core/platform/test_benchmark.h" #include "tensorflow/core/protobuf/cluster.pb.h" #include "tensorflow/core/protobuf/config.pb.h" #include "tensorflow/core/protobuf/rewriter_config.pb.h" #include "tensorflow/core/protobuf/tensorflow_server.pb.h" using tensorflow::string; namespace { void BM_InitOp(::testing::benchmark::State& state) { TF_Status* status = TF_NewStatus();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
.bazelrc
# CPU WHEEL test:linux_cpu_wheel_test_filters --test_tag_filters=-no_oss,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:linux_cpu_wheel_test_filters --build_tag_filters=-no_oss,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:linux_cpu_wheel_test_filters --test_lang_filters=py --test_size_filters=small,medium
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tensorflow/c/eager/c_api_experimental_test.cc
#include "tensorflow/core/platform/logging.h" #include "tensorflow/core/platform/protobuf.h" #include "tensorflow/core/platform/str_util.h" #include "tensorflow/core/platform/test.h" #include "tensorflow/core/platform/test_benchmark.h" #include "tensorflow/core/protobuf/cluster.pb.h" #include "tensorflow/core/protobuf/config.pb.h" using tensorflow::string; namespace tensorflow { namespace {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 03:14:26 GMT 2023 - 31.5K bytes - Viewed (1) -
ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
//tensorflow/core/tfrt //tensorflow/python/kernel_tests/signal //tensorflow/examples //tensorflow/tools/android //tensorflow/python/eager/benchmarks EOF # grep patterns for files and targets which don't need to be in the pip # package, ever. cat > $BATS_TEST_TMPDIR/ignore_these_deps <<EOF benchmark _test$ _test.py$ _test_cpu$ _test_cpu.py$ _test_gpu$ _test_gpu.py$ _test_lib$
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ci/official/utilities/code_check_full.bats
//tensorflow/core/tfrt //tensorflow/python/kernel_tests/signal //tensorflow/examples //tensorflow/tools/android //tensorflow/python/eager/benchmarks EOF # grep patterns for files and targets which don't need to be in the pip # package, ever. cat > $BATS_TEST_TMPDIR/ignore_these_deps <<EOF benchmark _test$ _test.py$ _test_cpu$ _test_cpu.py$ _test_gpu$ _test_gpu.py$ _test_lib$
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configure.py
] # List of files to configure when building Bazel on Apple platforms. APPLE_BAZEL_FILES = [ 'tensorflow/lite/ios/BUILD', 'tensorflow/lite/objc/BUILD', 'tensorflow/lite/swift/BUILD', 'tensorflow/lite/tools/benchmark/experimental/ios/BUILD' ] # List of files to move when building for iOS. IOS_FILES = [ 'tensorflow/lite/objc/TensorFlowLiteObjC.podspec', 'tensorflow/lite/swift/TensorFlowLiteSwift.podspec', ]
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
RELEASE.md
* Python 3.3+ support via changes to python codebase and ability to specify python version via ./configure. * Some improvements to GPU performance and memory usage: [convnet benchmarks](https://github.com/soumith/convnet-benchmarks/issues/66) roughly equivalent with native cudnn v2 performance. Improvements mostly due to moving to 32-bit indices, faster shuffling kernels. More improvements to come in later releases.
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