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tensorflow/c/eager/gradients.cc
} // Calls the passed-in backward function. // op_type is the op's name provided in RecordOperation. Status TapeVSpace::CallBackwardFunction( const string& op_type, GradientFunction* gradient_function, const std::vector<int64_t>& unneeded_gradients, gtl::ArraySlice<AbstractTensorHandle*> output_gradients, absl::Span<AbstractTensorHandle*> result) const { if (gradient_function == nullptr) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
ci/official/utilities/cleanup_summary.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== set -euxo pipefail function resultstore_extract_fallback { # In case the main script fails somehow. cat <<EOF IMPORTANT: For bazel invocations that uploaded to ResultStore (e.g. RBE), you
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tensorflow/c/eager/c_api_experimental.h
const char* function_name, TF_Buffer* buf, TF_Status* status); // Get GraphDebugInfo containing stack traces mapping to node names TF_CAPI_EXPORT extern void TFE_ContextGetGraphDebugInfo( TFE_Context* ctx, const char* function_name, TF_Buffer* buf, TF_Status* status);
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tensorflow/c/experimental/gradients/array_grad_test.cc
/*tfrt*/ ::testing::Values(false), /*use_function*/ ::testing::Values(true, false))); #else INSTANTIATE_TEST_SUITE_P( UnifiedCAPI, CppGradients, ::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false), /*use_function*/ ::testing::Values(true, false))); #endif } // namespace } // namespace internal
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
using GradientFunctionFactory = std::function<GradientFunction*(const ForwardOperation& op)>; // Map from op name to a `GradientFunctionFactory`. class GradientRegistry { public: Status Register(const string& op, GradientFunctionFactory gradient_function_factory); Status Lookup(const ForwardOperation& op, std::unique_ptr<GradientFunction>* gradient_function) const; private:
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tensorflow/c/c_test_util.cc
grads.emplace_back(grad.function_name(), grad.gradient_func()); } std::sort(grads.begin(), grads.end()); return grads; } std::vector<string> GetFuncNames(const tensorflow::GraphDef& graph_def) { std::vector<string> names; auto functions = graph_def.library().function(); names.reserve(functions.size()); for (const tensorflow::FunctionDef& func : functions) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2) -
tensorflow/c/experimental/filesystem/filesystem_interface.h
/// assume that before any function using path arguments is invoked, the path is /// made canonical by calling the function provided by `translate_name` or a /// default implementation of that (supplied by core TensorFlow). /// /// The only time the pointer to the `TF_*` structures from section 1 is not /// marked `const` in these functions is when these function are either
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tensorflow/c/eager/dlpack.cc
default: return tensorflow::errors::InvalidArgument("Unsupported Type Codes: ", dtype.code); } } // Wraps the deleter function of DLManagedTensor to match the function signature // TFE_NewTensorHandleFromDeviceMemory. void DeallocatorWrapperFunc(void* data, size_t len, void* dlmt_vptr) { TFE_CallDLManagedTensorDeleter(dlmt_vptr); }
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ci/official/requirements_updater/README.md
actually using the new version with Tensorflow. 2) In the `WORKSPACE` file, add the new version to the `python_versions` parameter of the `python_register_multi_toolchains` function. 3) In the `BUILD.bazel` file, add a load statement for the new version, e.g. ``` load("@python//3.11:defs.bzl", compile_pip_requirements_3_11 = "compile_pip_requirements") ```
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CONTRIBUTING.md
for details. #### Running doctest for testable docstring There are two ways to test the code in the docstring locally: 1. If you are only changing the docstring of a class/function/method, then you can test it by passing that file's path to [tf_doctest.py](https://www.tensorflow.org/code/tensorflow/tools/docs/tf_doctest.py). For example: ```bash
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