# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================
"""
User debug operators registry.
User can define a python implementation of primitive operator and
register it with the registry, this mechanism applied for debugging currently.
"""
from __future__ import absolute_import
from __future__ import division
from mindspore.ops._register_for_op import Registry
from mindspore.ops.primitive import Primitive
class VmImplRegistry(Registry):
    """Registry class for registry functions for vm_impl on Primitive or string."""
    def register(self, prim):
        """register the function."""
        def deco(fn):
            """Decorate the function."""
            if isinstance(prim, str):
                self[prim] = fn
            elif issubclass(prim, Primitive):
                self[id(prim)] = fn
                self[prim.__name__] = fn
            return fn
        return deco
vm_impl_registry = VmImplRegistry()
"""
Register the python primitive debug implementation function of a primitive operator.
Examples:
    >>> @vm_impl_registry.register(P.Type)
    ... def vm_impl_dtype(self):
    ...     def vm_impl(x):
    ...         return type(x)
    ...     return vm_impl
    ...
"""
[docs]def get_vm_impl_fn(prim):
    """
    Gets the virtual implementation function by a primitive object or primitive name.
    Args:
        prim (Union[Primitive, str]): primitive object or name for operator register.
    Note:
        This mechanism applied for debugging currently.
    Returns:
        function, vm function
    Examples:
        >>> from mindspore.ops import vm_impl_registry, get_vm_impl_fn
        ...
        >>> @vm_impl_registry.register("Type")
        ... def vm_impl_dtype(self):
        ...   def vm_impl(x):
        ...     return type(x)
        ...   return vm_impl
        ...
        >>> fn = get_vm_impl_fn("Type")
        >>> out = fn(1.0)
        >>> print(out)
        <class 'float'>
    """
    out = vm_impl_registry.get(prim, None)
    if out:
        return out(prim)
    return None