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ci/official/wheel_test/README.md
### Prerequisites for Local Testing To run tests locally, follow these steps: 1. Navigate to the relevant directory: ``` cd ci/official/wheel_test ``` 2. Run a script for creating requirements file: ``` bash update_requirements.sh <path_to_tensorflow_wheel> <python_version> e.g.: bash update_requirements.sh /tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl 3_11 ```
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tensorflow/c/experimental/gradients/tape/tape_operation.cc
forward_op_.outputs.push_back(retvals[i]); } // TODO(b/166669239): This is needed to support AttrBuilder::Get for string // attributes. Number type attrs and DataType attrs work fine without this. // Consider getting rid of this and making the behavior between number types // and string consistent. forward_op_.attrs.BuildNodeDef(); // TODO(b/170307493): Populate skip_input_indices here.
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// `modular_filesystem_test.h` and extend the instantiation to also take as // argument an implementation for this method/a subclass factory (see // https://github.com/google/googletest/blob/master/googletest/docs/advanced.md#creating-value-parameterized-abstract-tests) std::string GetURIForPath(StringPiece path) { const std::string translated_name = tensorflow::io::JoinPath(root_dir_, path);
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ci/official/README.md
- x86 and arm64 - CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs ## How to Test Your Changes to TensorFlow You may check how your changes will affect TensorFlow by: 1. Creating a PR and observing the presubmit test results 2. Running the CI scripts locally, as explained below 3. **Google employees only**: Google employees can use an internal-only tool
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tensorflow/c/eager/c_api.h
TF_Status* status); // Adds a function (created from TF_GraphToFunction or // TF_FunctionImportFunctionDef) to the context, allowing it to be executed with // TFE_Execute by creating an op with the same name as the function. TF_CAPI_EXPORT extern void TFE_ContextAddFunction(TFE_Context* ctx, TF_Function* function,
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tensorflow/c/eager/c_api_experimental.h
TF_Status* status); // Get configuration key and value using coordination service. // The config key must be set before getting its value. Getting value of // non-existing config keys will result in errors. // If `timeout_in_ms=0`, this call will block until the key-value is set or the // worker shuts down.
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CONTRIBUTING.md
just getting started, GitHub has a [how-to](https://help.github.com/articles/using-pull-requests/). TensorFlow team members will be assigned to review your pull requests. Once the pull requests are approved and pass continuous integration checks, a TensorFlow team member will apply `ready to pull` label to your change. This means we are
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tensorflow/c/c_api.cc
TF_Status* status) { #if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD) status->status = tensorflow::errors::Unimplemented( "Creating while loops is not supported on mobile. File a bug at " "https://github.com/tensorflow/tensorflow/issues if this feature is " "important to you"); return EmptyWhileParams(); #else
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tensorflow/c/eager/gradients.cc
forward_op_->outputs.push_back(retvals[i]); } // TODO(b/166669239): This is needed to support AttrBuilder::Get for string // attributes. Number type attrs and DataType attrs work fine without this. // Consider getting rid of this and making the behavior between number types // and string consistent. forward_op_->attrs.BuildNodeDef(); std::unique_ptr<GradientFunction> gradient_fn;
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// removing duplicate `/`s, and resolving `..` and `.`. /// /// Plugins must not return `nullptr`. Returning empty strings is allowed. /// /// The allocation and freeing of memory must happen via the functions sent to /// core TensorFlow upon registration (see the `TF_FilesystemPluginInfo` /// structure in Section 4). ///
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