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.github/bot_config.yml
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tensorflow/c/c_api.cc
#include "tensorflow/cc/framework/gradients.h" #include "tensorflow/cc/framework/ops.h" #include "tensorflow/cc/framework/scope_internal.h" #include "tensorflow/cc/ops/while_loop.h" #include "tensorflow/cc/saved_model/loader.h" #include "tensorflow/core/distributed_runtime/server_lib.h" #include "tensorflow/core/framework/logging.h" #include "tensorflow/core/framework/op_gen_lib.h"
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tensorflow/c/BUILD
":kernels", ], ) tf_cuda_cc_test( name = "c_api_test", size = "medium", srcs = ["c_api_test.cc"], data = [ ":test_op1.so", "//tensorflow/cc/saved_model:saved_model_half_plus_two", ], linkopts = select({ "//tensorflow:macos": ["-headerpad_max_install_names"], "//conditions:default": [], }), tags = [
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CONTRIBUTING.md
``` For a single/parameterized test e.g. `test_capture_variables` in `tensorflow/python/saved_model/load_test.py`: (Requires `python>=3.7`) ```bash bazel test ${flags} //tensorflow/python/saved_model:load_test --test_filter=*LoadTest.test_capture_variables* ``` **Note:** You can add `--test_sharding_strategy=disabled` to the `flags` to
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RELEASE.md
* `Model.fit_generator`, `Model.evaluate_generator`, `Model.predict_generator`, `Model.train_on_batch`, `Model.test_on_batch`, and `Model.predict_on_batch` methods now respect the `run_eagerly` property, and will correctly run using `tf.function` by default. Note that `Model.fit_generator`, `Model.evaluate_generator`,
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tensorflow/BUILD
"//tensorflow/c:logging", "//tensorflow/c:ops", "//tensorflow/cc/saved_model:fingerprinting_impl", "//tensorflow/cc/saved_model:loader_lite_impl", "//tensorflow/cc/saved_model:metrics_impl", "//tensorflow/compiler/tf2tensorrt:op_converter_registry_impl", "//tensorflow/core/common_runtime:core_cpu_impl",
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README.md
## Resources * [TensorFlow.org](https://www.tensorflow.org) * [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/) * [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official) * [TensorFlow Examples](https://github.com/tensorflow/examples) * [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)
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tensorflow/c/eager/gradient_checker.cc
RunModel(forward, ctx, inputs, model_outputs, use_function)); AbstractTensorHandlePtr model_out(model_outputs[0]); TF_Tensor* model_out_tensor; TF_RETURN_IF_ERROR(GetValue(model_out.get(), &model_out_tensor)); int num_dims_out = TF_NumDims(model_out_tensor); TF_DeleteTensor(model_out_tensor); // If the output is a scalar, then return the scalar output if (num_dims_out == 0) { outputs[0] = model_out.release();
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.github/ISSUE_TEMPLATE/tflite-op-request.md
Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to Colab/Jupyter/any notebook. Also, please include a link to a GraphDef or the model if possible. **Any other info / logs** Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files
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.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml
description: If compiling from source - type: input id: Cuda attributes: label: CUDA/cuDNN version - type: input id: Gpu attributes: label: GPU model and memory description: If compiling from source - type: textarea id: what-happened attributes: label: Current behavior? description: Also tell us, what did you expect to happen?
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