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tensorflow/c/eager/parallel_device/parallel_device_testlib.h
// separate static method which returns a status. Variable(TFE_TensorHandle* handle, TF_DataType type) : handle_(handle), type_(type) {} // Helper for constructing a resource handle and wrapping it in a `Variable` // object. static Variable* Create(TFE_Context* context, TF_DataType type, const int64_t* dims, const int num_dims,
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tensorflow/c/experimental/ops/README.md
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tensorflow/c/c_api_test.cc
EXPECT_EQ(0, TF_OperationNumControlOutputs(neg)); EXPECT_EQ(0, TF_OperationGetControlOutputs(neg, control_ops, 100)); // Import it again, with an input mapping, return outputs, and a return // operation, into the same graph. TF_DeleteImportGraphDefOptions(opts); opts = TF_NewImportGraphDefOptions(); TF_ImportGraphDefOptionsSetPrefix(opts, "imported2");
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tensorflow/c/c_api.cc
// Run shape inference function for newly added node. status->status = desc->graph->refiner.AddNode(ret); } if (status->status.ok()) { // Add the node to the name-to-node mapping. desc->graph->name_map[ret->name()] = ret; } else if (ret != nullptr) { desc->graph->graph.RemoveNode(ret); ret = nullptr; } } delete desc;
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tensorflow/c/c_api.h
// and weren't used as input to any node in the imported graph def. The number // of fetched mappings is returned in `num_missing_unused_input_mappings`. The // array of each mapping's source node name is returned in `src_names`, and the // array of each mapping's source index is returned in `src_indexes`. // // `*src_names`, `*src_indexes`, and the memory backing each string in // `src_names` are owned by and have the lifetime of `results`.
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.bazelrc
# hope to provide a better mechanism for control over symbol exporting, and # then tackle this issue again. # # TODO: Remove the following two lines once TF doesn't depend on Bazel wrapping # all library archives in -whole_archive -no_whole_archive. build --noincompatible_remove_legacy_whole_archive build --features=-force_no_whole_archive
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.github/workflows/update-rbe.yml
echo "success." } # See https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/toolchains/remote_config/configs.bzl # This is a mapping of name_container_map keys under sigbuild_tf_configs # to tag names on gcr.io/tensorflow-sigs/build. # TF 2.9 map sigbuild-r2.9 2.9-python3.9 map sigbuild-r2.9-python3.8 2.9-python3.8
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
``` (You can paste links or attach files by dragging & dropping them below) - Provide links to your updated versions of the above two colab notebooks. - Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model. ``` #### Option B: Paste your code here or provide a link to a custom end-to-end colab ``` (You can paste links or attach files by dragging & dropping them below)
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tensorflow/c/eager/c_api_experimental.h
// inspect values. This would let people e.g. copy over most attributes and then // modify some based on their values. // A reference to an op's name -> attribute mapping typedef struct TFE_OpAttrs TFE_OpAttrs; // Fetch a reference to `op`'s attributes. The returned reference is only valid // while `op` is alive. TF_CAPI_EXPORT extern const TFE_OpAttrs* TFE_OpGetAttrs(const TFE_Op* op);
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RELEASE.md
relative imports in API `__init__.py` files. * Auto Mixed-Precision graph optimizer simplifies converting models to `float16` for acceleration on Volta and Turing Tensor Cores. This feature can be enabled by wrapping an optimizer class with `tf.train.experimental.enable_mixed_precision_graph_rewrite()`. * Add environment variable `TF_CUDNN_DETERMINISTIC`. Setting to "true" or "1"
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