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tensorflow/api_template_v1.__init__.py
# Some tf endpoints actually lives under Keras. _current_module.layers = _KerasLazyLoader( globals(), submodule="__internal__.legacy.layers", name="layers", mode="v1") if _tf_uses_legacy_keras: _module_dir = _module_util.get_parent_dir_for_name( "tf_keras.api._v1.keras.__internal__.legacy.layers") else: _module_dir = _module_util.get_parent_dir_for_name(
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
TF_CAPI_EXPORT extern bool TFE_ExecutorIsAsync(TFE_Executor*); // Causes the calling thread to block till all ops dispatched in this executor // have been executed. Note that "execution" here refers to kernel execution / // scheduling of copies, etc. Similar to sync execution, it doesn't guarantee // that lower level device queues (like GPU streams) have been flushed. //
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) -
RELEASE.md
* Update `tf.keras` to the Keras 2.1.6 API. * Added [`tf.keras.layers.CuDNNGRU`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/keras/layers/CuDNNGRU) and [`tf.keras.layers.CuDNNLSTM`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/keras/layers/CuDNNLSTM) layers.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
.bazelrc
build:mkl_aarch64_threadpool --define=build_with_mkl_aarch64=true build:mkl_aarch64_threadpool -c opt # CUDA: This config refers to building CUDA op kernels with nvcc. build:cuda --repo_env TF_NEED_CUDA=1 build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain build:cuda --@local_config_cuda//:enable_cuda # CUDA: This config refers to building CUDA op kernels with clang. build:cuda_clang --config=cuda
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)