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configure.py
environ_cp, var_name='GCC_HOST_COMPILER_PATH', var_default=default_gcc_host_compiler_path, ask_for_var='Please specify which gcc should be used by nvcc as the host ' 'compiler.', check_success=os.path.exists, resolve_symlinks=True, error_msg='Invalid gcc path. %s cannot be found.', ) write_action_env_to_bazelrc('GCC_HOST_COMPILER_PATH', gcc_host_compiler_path)
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (0) -
.bazelrc
# Set execution platform to Linux x86 # Note: Lot of the "host_" flags such as "host_cpu" and "host_crosstool_top" # flags seem to be actually used to specify the execution platform details. It # seems it is this way because these flags are old and predate the distinction # between host and execution platform. build:cross_compile_base --host_cpu=k8
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Apr 24 20:50:35 GMT 2024 - 52.6K bytes - Viewed (2) -
.github/workflows/update-rbe.yml
# limitations under the License. # ============================================================================== # This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl # to reference the most recent versions of the SIG Build Docker images. name: Update RBE Configs on: workflow_dispatch: permissions: contents: read jobs: rbe: name: Update RBE Configs runs-on: ubuntu-latest
Others - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Apr 10 15:40:34 GMT 2024 - 7.2K bytes - Viewed (0) -
RELEASE.md
maintains a hash table to track the most up-to-date vocabulary based on the inputs received by the layer and the eviction policy. When this layer is used with an `UpdateEmbeddingCallback`, which is a time-based callback, the vocabulary lookup tensor is updated at the time interval set in the `UpdateEmbeddingCallback` based on the most up-to-date vocabulary hash
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tensorflow/c/eager/c_api_experimental.cc
(*sess_options.config.mutable_device_count())["CPU"] = num_cpus; status->status = tensorflow::DeviceFactory::AddCpuDevices(sess_options, prefix, &devices); // Remove the device that has the host device name since host device is alreay // in an initialized context. for (auto d = devices.begin(); d != devices.end();) { if (absl::StrContains(d->get()->name(), "CPU:0")) { d = devices.erase(d); } else {
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/BUILD
visibility = ["//visibility:public"], ) # Sometimes Bazel reports darwin_x86_64 as "darwin" and sometimes as # "darwin_x86_64". The former shows up when building on a Mac x86_64 host for a Mac x86_64 target. # The latter shows up when cross-compiling for Mac x86_64 from a Mac ARM machine and in internal # Google builds. config_setting( name = "macos_x86_64_default",
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