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CITATION.cff
shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to...
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 06 15:26:23 GMT 2021 - 3.5K bytes - Viewed (0) -
.bazelrc
build:android_arm64 --config=android build:android_arm64 --cpu=arm64-v8a build:android_arm64 --fat_apk_cpu=arm64-v8a build:android_x86 --config=android build:android_x86 --cpu=x86 build:android_x86 --fat_apk_cpu=x86 build:android_x86_64 --config=android build:android_x86_64 --cpu=x86_64 build:android_x86_64 --fat_apk_cpu=x86_64 # Build everything statically for Android since all static libs are later
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tensorflow/c/eager/c_api_experimental.cc
void TFE_SetLogicalCpuDevices(TFE_Context* ctx, int num_cpus, const char* prefix, TF_Status* status) { std::vector<std::unique_ptr<tensorflow::Device>> devices; if (prefix == nullptr || strlen(prefix) == 0) prefix = "/job:localhost/replica:0/task:0"; tensorflow::SessionOptions sess_options; (*sess_options.config.mutable_device_count())["CPU"] = num_cpus; status->status =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/c/eager/c_api_experimental.h
// through TFE_ContextOptions, this method should not be called. TF_CAPI_EXPORT extern void TFE_SetLogicalCpuDevices(TFE_Context* ctx, int num_cpus, const char* prefix, TF_Status* status); // Set configuration key and value using coordination service.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental_test.cc
ASSERT_TRUE(absl::StrContains(device_type_cpu, "CPU")) << device_type_cpu; int device_id_cpu = TFE_TensorHandleDeviceID(h_cpu, status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); ASSERT_EQ(0, device_id_cpu) << device_id_cpu; TFE_DeleteTensorHandle(h_default); TFE_DeleteTensorHandle(h_cpu); TFE_Executor* executor = TFE_ContextGetExecutorForThread(ctx);
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) -
tensorflow/c/eager/c_api_test.cc
TFE_DeleteTensorHandle(retvals[0]); TFE_DeleteContext(ctx); TF_DeleteStatus(status); } TEST(CAPI, Execute_MatMul_CPU_Runtime_Error) { Execute_MatMul_CPU_Runtime_Error(false); } TEST(CAPI, Execute_MatMul_CPU_Runtime_ErrorAsync) { Execute_MatMul_CPU_Runtime_Error(true); } void Execute_MatMul_CPU_Type_Error(bool async) { TF_Status* status = TF_NewStatus(); TFE_ContextOptions* opts = TFE_NewContextOptions();
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) -
.github/workflows/arm-ci.yml
./tensorflow/tools/ci_build/ci_build.sh cpu.arm64 bash tensorflow/tools/ci_build/rel/ubuntu/cpu_arm64_test.sh...
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ci/official/envs/linux_x86_cuda
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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tensorflow/c/c_api_test.cc
TF_DeleteStatus(s); } void Deallocator(void* data, size_t, void* arg) { tensorflow::cpu_allocator()->DeallocateRaw(data); *reinterpret_cast<bool*>(arg) = true; } TEST(CAPI, Tensor) { const int num_bytes = 6 * sizeof(float); float* values = reinterpret_cast<float*>(tensorflow::cpu_allocator()->AllocateRaw( TF_TensorDefaultAlignment(), num_bytes)); int64_t dims[] = {2, 3};
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# This bazelrc can build a CPU-supporting TF package. # Convenient cache configurations # Use a cache directory mounted to /tf/cache. Very useful! build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false
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