AAA,MAAA,gBAAA,MAAA,gBAAA,MAAA,gBAAA,OAKF,yBAAA,aAAA,CAAA,kBAAA,CAAA,UAAA,CAAA,MAAA,CAAA,gBAAA,CAAA,KAAA,CAAA,WAAA,CAAA,iBAAA,CAAA,UAAA,CAAA,mBAAA,CAAA,gBAAA,CAAA,iBAAA,CAAA,mBACA,wBAAA,cAAA,CAAA,KAAA,CAAA,MAAA,CAAA,QAAA,CAAA,iBAAA,CAAA,aAAA,CAAA,UCCF,ECqBA,QADA,SDjBE,WAAA,WAGF,KACE,YAAA,WACA,YAAA,KACA,yBAAA,KACA,4BAAA,YAMF,QAAA,MAAA,WAAA,OAAA,OAAA,OAAA,OAAA,KAAA,IAAA,QACE,QAAA,MAUF,KACE,OAAA,EACA,YAAA,aAAA,CAAA,kBAAA,CAAA,UAAA,CAAA,MAAA,CAAA,gBAAA,CAAA,KAAA,CAAA,WAAA,CAAA,iBAAA,CAAA,UAAA,CAAA,m...

# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1
libcudnn9-cuda-12=9.1.1.17-1

# 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.

AK0F,SAASmO,WAAY3T,EAAEF,KAAK0F,UAAUa,SAASf,IAAxD,CAIA,IAAMsO,EAAW5T,EAAEF,KAAKyT,OAAOlN,SAASf,IAExC+N,EAASQ,cAELD,GAIJ9T,KAAKqR,MAAK,OAGZA,KAAA,SAAK2C,GACH,QADsB,IAAnBA,IAAAA,GAAY,KACXhU,KAAK0F,SAASmO,UAAY3T,EAAEF,KAAK0F,UAAUa,SAASf,KAAuBtF,EAAEF,KAAKyT,OAAOlN,SAASf,KAAtG,CAIA,IAAM6I,EAAgB,CACpBA,cAAerO,KAAK0F,UAEhBuO,EAAY/T,EAAEkF,MAAMA,GAAM6K,KAAM5B,GAChClI,EAASoN,EAASW,sBAAsBlU,KAAK0F,UAInD,GAFAxF,EAAEiG,GAAQpE,QAAQkS,IAEdA,EAAUlO,qBAAd,CAKA,IAAK/F,KAAK2T,WAAaK,EAAW,CAKhC,GAAsB,oBAAXG,EACT,M...

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	var (
		counter int
		mv      *MetaValue
		body    = `{ "bio": "bada bing bada boom", "id": 1, "name": "Charles" }
{ "bio": "bada bing bada boom", "id": 2, "name": "Charles" }
{ "bio": "bada bing bada boom", "id": 3, "name": "Charles" }
{ "bio": "bada bing bada boom", "id": 4, "name": "Charles" }
{ "bio": "bada bing bada boom", "id": 5, "name": "Charles" }
`
	)

	decoder := NewDecoder(mkReader(body), 0)

    write_repo_env_to_bazelrc('cuda', env_var, local_path)


def set_other_cuda_vars(environ_cp):
  """Set other CUDA related variables."""
  # If CUDA is enabled, always use GPU during build and test.
  if environ_cp.get('TF_CUDA_CLANG') == '1':
    write_to_bazelrc('build --config=cuda_clang')
  else:
    write_to_bazelrc('build --config=cuda')

# Install devtoolset devel dependencies
COPY setup.sources.sh /setup.sources.sh
COPY setup.packages.sh /setup.packages.sh
COPY devel.packages.txt /devel.packages.txt
COPY cuda.packages.txt /cuda.packages.txt
RUN /setup.sources.sh && /setup.packages.sh /devel.packages.txt

# Install various tools.
# - bats: bash unit testing framework

    done < $BATS_TEST_TMPDIR/missing_deps
    exit 1
  fi
}

# The Python package is not allowed to depend on any CUDA packages.
@test "Pip package doesn't depend on CUDA" {
  bazel cquery \
    --experimental_cc_shared_library \
    --@local_config_cuda//:enable_cuda \
    --@local_config_cuda//cuda:include_cuda_libs=false \

KkB,SAASoO,WAAYxS,UAAEkD,KAAKkB,UAAUe,SAASkM,GAAxD,CAIA,IAAMoB,EAAWzS,UAAEkD,KAAKkP,OAAOjN,SAASsJ,GAExCyD,EAASQ,cAELD,GAIJvP,KAAK4M,MAAK,K,EAGZA,KAAA,SAAK6C,GACH,QADsB,IAAnBA,OAAY,KACXzP,KAAKkB,SAASoO,UAAYxS,UAAEkD,KAAKkB,UAAUe,SAASkM,IAAwBrR,UAAEkD,KAAKkP,OAAOjN,SAASsJ,IAAvG,CAIA,IAAM5B,EAAgB,CACpBA,cAAe3J,KAAKkB,UAEhBwO,EAAY5S,UAAEiF,MA3FR,mBA2F0B4H,GAChChI,EAASqN,EAASW,sBAAsB3P,KAAKkB,UAInD,GAFApE,UAAE6E,GAAQnE,QAAQkS,IAEdA,EAAUnO,qBAAd,CAKA,IAAKvB,KAAKoP,WAAaK,EAAW,CAEhC,GAAsB,oBAAXG,UACT,MA...

# Tutorial - Pedoman Pengguna - Pengenalan

Tutorial ini menunjukan cara menggunakan ***FastAPI*** dengan semua fitur-fiturnya, tahap demi tahap.

Setiap bagian dibangun secara bertahap dari bagian sebelumnya, tetapi terstruktur untuk memisahkan banyak topik, sehingga kamu bisa secara langsung menuju ke topik spesifik untuk menyelesaikan kebutuhan API tertentu.

Ini juga dibangun untuk digunakan sebagai referensi yang akan datang.