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Results 1 - 10 of 21 for optimizations (0.23 sec)
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tensorflow/c/c_api.cc
// -------------------------------------------------------------------------- TF_SessionOptions* TF_NewSessionOptions() { TF_SessionOptions* out = new TF_SessionOptions; // Disable optimizations for static graph to allow calls to Session::Extend. out->options.config.mutable_experimental() ->set_disable_optimize_for_static_graph(true); return out; }
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tensorflow/c/eager/c_api_distributed_test.cc
#include "tensorflow/c/eager/tfe_tensorhandle_internal.h" #include "tensorflow/core/common_runtime/eager/eager_operation.h" #include "tensorflow/core/common_runtime/function_optimization_registry.h" #include "tensorflow/core/common_runtime/optimization_registry.h" #include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h" #include "tensorflow/core/framework/function.h" #include "tensorflow/core/graph/graph.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
CITATION.cff
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 experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it...
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README.md
* [TensorFlow Twitter](https://twitter.com/tensorflow) * [TensorFlow YouTube](https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ) * [TensorFlow model optimization roadmap](https://www.tensorflow.org/model_optimization/guide/roadmap) * [TensorFlow White Papers](https://www.tensorflow.org/about/bib) * [TensorBoard Visualization Toolkit](https://github.com/tensorflow/tensorboard)
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tensorflow/c/c_api_experimental.h
// as if passed in XLA_FLAGS. This has global effect. TF_CAPI_EXPORT void TF_SetXlaAutoJitMode(const char* mode); // Returns whether the single GPU or general XLA auto jit optimizations are // enabled through MarkForCompilationPassFlags. TF_CAPI_EXPORT unsigned char TF_GetXlaAutoJitEnabled(); // Sets XLA's minimum cluster size. This has global effect.
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tensorflow/c/experimental/grappler/grappler.h
TF_TriState pin_to_host_optimization; TF_TriState layout_optimizer; TF_TriState remapping; TF_TriState loop_optimization; TF_TriState dependency_optimization; TF_TriState auto_parallel; TF_TriState memory_optimization; TF_TriState scoped_allocator_optimization; } TP_OptimizerConfigs; #define TP_OPTIMIZER_CONFIGS_STRUCT_SIZE \ TF_OFFSET_OF_END(TP_OptimizerConfigs, scoped_allocator_optimization)
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tensorflow/c/eager/c_api_test.cc
// Add a config_proto attr, to trigger grappler graph rewrites in the current // eager runtime. if (enable_grappler) { tensorflow::ConfigProto config; // Do not skip grappler optimization even for small graphs. config.mutable_graph_options() ->mutable_rewrite_options() ->set_min_graph_nodes(-1); string serialized_config;
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RELEASE.md
optimizations. Setting the variable to 0 or unsetting it will disable the optimizations. * These optimizations can yield slightly different numerical results from when they are off due to floating-point round-off errors from different computation approaches and orders. * To verify that the optimizations are on, look for a message with
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.bazelrc
build:cuda --@local_config_cuda//:enable_cuda # CUDA: This config refers to building CUDA op kernels with clang. build:cuda_clang --config=cuda # Enable TensorRT optimizations https://developer.nvidia.com/tensorrt build:cuda_clang --config=tensorrt build:cuda_clang --action_env=TF_CUDA_CLANG="1" build:cuda_clang --@local_config_cuda//:cuda_compiler=clang
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CONTRIBUTING.md
#### Debug builds When [building Tensorflow](https://www.tensorflow.org/install/source), passing `--config=dbg` to Bazel will build with debugging information and without optimizations, allowing you to use GDB or other debuggers to debug C++ code. For example, you can build the pip package with debugging information by running: ```bash
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