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tensorflow/c/eager/c_api_unified_experimental.cc
// Public C API entry points // // These are only the generic entry points for the C API. This file does not // have any visibility into the graph/eager implementation and is only providing // C bindings to the abstract classes defined in the // c_api_unified_experimental_internal.h header. // // ============================================================================= using tensorflow::AbstractFunction;
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-converter-issue.md
``` ### 3. Failure after conversion If the conversion is successful, but the generated model is wrong, then state what is wrong: - Model produces wrong results and/or has lesser accuracy. - Model produces correct results, but it is slower than expected. ### 4. (optional) RNN conversion support If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.
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tensorflow/c/experimental/grappler/grappler.cc
limitations under the License. ==============================================================================*/ // This file extends/implements core graph optimizer base classes in terms of // the C API defined in grappler.h. A class "CSomething" represents a // "Something" that can be manipulated via calls in the C interface and a C // struct called "TP_Something".
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/experimental/grappler/grappler_internal.h
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ // Classes and utilities that work with Graph C API for internal use. // This includes functions used for optimizer registration and interfaces needed // for testing. #ifndef TENSORFLOW_C_EXPERIMENTAL_GRAPPLER_GRAPPLER_INTERNAL_H_
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ci/official/containers/linux_arm64/builder.devtoolset/stringop_trunc.patch
This file is part of the GNU C Library. The GNU C Library is free software; you can redistribute it and/or @@ -14,7 +14,7 @@ You should have received a copy of the GNU Lesser General Public License along with the GNU C Library; if not, see - <http://www.gnu.org/licenses/>. */ + <https://www.gnu.org/licenses/>. */ #ifndef _UTMP_H
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tensorflow/c/experimental/filesystem/modular_filesystem.h
#include "tensorflow/core/platform/file_system.h" /// This file builds classes needed to hold a filesystem implementation in the /// modular world. Once all TensorFlow filesystems are converted to use the /// plugin based approach, this file will replace the one in core/platform and /// the names will lose the `Modular` part. Until that point, the `Modular*` /// classes here are experimental and subject to breaking changes.
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tensorflow/c/eager/c_api_unified_experimental_internal.h
// ============================================================================= // Implementation detail for the unified execution APIs for Eager and tracing // backends (graph/MLIR). // // This defines a set of abstract classes that are intended to provide the // functionality of the opaque C types exposed in the public APIs defined in the // `c_api_unified_experimental.h` header.
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RELEASE.md
* Added `tf.keras.__internal__.KerasTensor`,`tf.keras.__internal__.SparseKerasTensor`, and `tf.keras.__internal__.RaggedKerasTensor` classes. You can use these classes to do instance type checking and type annotations for layer/model inputs and outputs.
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