fix tests to be run on a100s.
PiperOrigin-RevId: 343862379 Change-Id: I3bafe56eafdd137d357340b07cae268cff7ab5ef
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@ -20,8 +20,10 @@ cd tensorflow/tools/ci_build
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docker build -t gpu_test_container:latest -f \
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Dockerfile.rbe.cuda11.0-cudnn8-ubuntu18.04-manylinux2010-multipython .
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DEFAULT_BAZEL_TARGETS="//tensorflow/... -//tensorflow/python/integration_testing/... -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/compiler/mlir/tosa/... -//tensorflow/compiler/xrt/... //tensorflow/compiler/mlir/lite/... -//tensorflow/lite/micro/examples/... -//tensorflow/core/tpu/..."
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docker run --rm \
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--gpus all \
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--shm-size=2g --ulimit memlock=-1 --ulimit stack=67108864 \
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gpu_test_container:latest bash -c "python3.7 -m pytest"
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gpu_test_container:latest bash -c "bazel test --config=rbe_linux_cuda11.0_nvcc_py3.6 --config=tensorflow_testing_rbe_linux --test_tag_filters=gpu,-no_gpu,-nogpu,-benchmark-test,-no_oss,-oss_serial,-v1only,-no_gpu_presubmit,-no_cuda11 -- ${DEFAULT_BAZEL_TARGETS} -//tensorflow/lite/..."
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