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Diffstat (limited to 'tensorflow/core/framework/fake_input.h')
-rw-r--r-- | tensorflow/core/framework/fake_input.h | 25 |
1 files changed, 25 insertions, 0 deletions
diff --git a/tensorflow/core/framework/fake_input.h b/tensorflow/core/framework/fake_input.h new file mode 100644 index 0000000000..39b38e9a59 --- /dev/null +++ b/tensorflow/core/framework/fake_input.h @@ -0,0 +1,25 @@ +#ifndef TENSORFLOW_FRAMEWORK_FAKE_INPUT_H_ +#define TENSORFLOW_FRAMEWORK_FAKE_INPUT_H_ + +#include "tensorflow/core/framework/node_def_builder.h" +#include "tensorflow/core/framework/types.h" + +namespace tensorflow { + +// These functions return values that may be passed to +// NodeDefBuilder::Input() to add an input for a test. Use them when +// you don't care about the node names/output indices providing the +// input. They also allow you to omit the input types and/or +// list length when they may be inferred. +FakeInputFunctor FakeInput(); // Infer everything +FakeInputFunctor FakeInput(DataType dt); +FakeInputFunctor FakeInput(int n); // List of length n +FakeInputFunctor FakeInput(int n, DataType dt); +FakeInputFunctor FakeInput(DataTypeSlice dts); +inline FakeInputFunctor FakeInput(std::initializer_list<DataType> dts) { + return FakeInput(DataTypeSlice(dts)); +} + +} // namespace tensorflow + +#endif // TENSORFLOW_FRAMEWORK_FAKE_INPUT_H_ |