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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) -
.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
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2) -
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) -
.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...
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Feb 07 17:41:21 GMT 2024 - 2.2K bytes - Viewed (0) -
ci/official/envs/linux_x86_cuda
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
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tensorflow/c/c_api_test.cc
TF_DeleteStatus(s); } void Deallocator(void* data, size_t, void* arg) { tensorflow::cpu_allocator()->DeallocateRaw(data); *reinterpret_cast<bool*>(arg) = true; } TEST(CAPI, Tensor) { const int num_bytes = 6 * sizeof(float); float* values = reinterpret_cast<float*>(tensorflow::cpu_allocator()->AllocateRaw( TF_TensorDefaultAlignment(), num_bytes)); int64_t dims[] = {2, 3};
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
RELEASE.md
`.predict` is available for Cloud TPUs, Cloud TPU, for all types of Keras models (sequential, functional and subclassing models). * Automatic outside compilation is now enabled for Cloud TPUs. This allows `tf.summary` to be used more conveniently with Cloud TPUs. * Dynamic batch sizes with DistributionStrategy and Keras are supported on Cloud TPUs.
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.github/workflows/arm-cd.yml
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ci/official/envs/linux_arm64
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_arm64_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1
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ci/official/README.md
- Different Python versions - Linux, MacOS, and Windows machines (these pool definitions are internal) - x86 and arm64 - CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs ## How to Test Your Changes to TensorFlow You may check how your changes will affect TensorFlow by: 1. Creating a PR and observing the presubmit test results
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