wehub-resource-sync
75 lines
2.8 KiB
C++
75 lines
2.8 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
==============================================================================*/
|
|
|
|
#ifndef TENSORFLOW_PYTHON_UTIL_FUNCTION_PARAMETER_CANONICALIZER_H_
|
|
#define TENSORFLOW_PYTHON_UTIL_FUNCTION_PARAMETER_CANONICALIZER_H_
|
|
|
|
#include <Python.h>
|
|
|
|
#include <cstddef>
|
|
#include <vector>
|
|
|
|
#include "absl/base/attributes.h"
|
|
#include "absl/types/span.h"
|
|
#include "tensorflow/python/lib/core/safe_pyobject_ptr.h"
|
|
|
|
namespace tensorflow {
|
|
|
|
// A class that Canonicalizes Python arg & kwargs parameters.
|
|
class FunctionParameterCanonicalizer {
|
|
public:
|
|
// `arg_names` is a list of argument names, and `defaults` is default PyObject
|
|
// instances for arguments. `default` is aligned to the end.
|
|
FunctionParameterCanonicalizer(absl::Span<const char*> arg_names,
|
|
absl::Span<PyObject*> defaults);
|
|
|
|
// Returns the total number of arguments.
|
|
ABSL_MUST_USE_RESULT
|
|
int GetArgSize() const { return interned_arg_names_.size(); }
|
|
|
|
// Canonicalizes `args` and `kwargs` by the spec specified at construction.
|
|
// It's written to `result`. Returns `true` if Canonicalization was
|
|
// successful, and `false` otherwise. When it fails, it also sets CPython
|
|
// error status.
|
|
// This function does not update reference counter of any Python objects.
|
|
// `PyObject*`s in `result` are borrowed references from `args`, `kwargs`, and
|
|
// possibly `defaults_`, and will be only valid if `args` and `kwargs` are
|
|
// still alive.
|
|
ABSL_MUST_USE_RESULT
|
|
ABSL_ATTRIBUTE_HOT
|
|
bool Canonicalize(PyObject* args, PyObject* kwargs,
|
|
absl::Span<PyObject*> result);
|
|
|
|
private:
|
|
// Simple linear search of `name` in `interned_arg_names`. If found, returns
|
|
// the index. If not found, returns `interned_arg_names.size()`.
|
|
ABSL_MUST_USE_RESULT
|
|
ABSL_ATTRIBUTE_HOT
|
|
std::size_t InternedArgNameLinearSearch(PyObject* name);
|
|
|
|
// Check if `interned_arg_names_` is unique.
|
|
bool AreInternedArgNamesUnique();
|
|
|
|
// TODO(kkb): Use one `std::vector` and two `absl:Span`s instead to improve
|
|
// cache locality.
|
|
std::vector<Safe_PyObjectPtr> interned_arg_names_;
|
|
std::vector<Safe_PyObjectPtr> defaults_;
|
|
const int positional_args_size_;
|
|
};
|
|
|
|
} // namespace tensorflow
|
|
|
|
#endif // TENSORFLOW_PYTHON_UTIL_FUNCTION_PARAMETER_CANONICALIZER_H_
|