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- #!/usr/bin/env python3
- # coding: utf-8
- # Copyright 2019 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.
-
- """operator dsl function: abs_ad"""
-
- import akg
- from akg.ops.math import abs
- from akg.utils import validation_check as vc_util
-
-
- @vc_util.check_input_type(akg.tvm.tensor.Tensor, akg.tvm.tensor.Tensor)
- def abs_ad(head, in_data):
- """
- Compute gradient of abs operator with automatic differentiate.
-
- Args:
- head (tvm.tensor.Tensor): Tensor of type float16, float32, int8, uint8, int32.
- in_data (tvm.tensor.Tensor): Tensor of type float16, float32, int8, uint8, int32.
-
- Returns:
- tvm.tensor.Tensor has the same shape as input.
- """
-
- dtype = in_data.dtype
- # check head's validation.
- vc_util.check_shape(head.shape)
- vc_util.ops_dtype_check(head.dtype, vc_util.DtypeForDavinci.ALL_TYPES)
- need_cast_dtype = ["int8", "int32", "uint8"]
-
- abs_data = abs.abs_value(in_data)
- if head.dtype in need_cast_dtype:
- head = akg.tvm.compute(head.shape, lambda *indice: head(*indice).astype("float16"), name='head_cast')
- if dtype in need_cast_dtype:
- abs_data = akg.tvm.compute(abs_data.shape,
- lambda *indice: abs_data(*indice).astype("float16"),
- name='abs_cast')
- jacs = list(akg.differentiate(abs_data, [in_data], head))
- if dtype in need_cast_dtype:
- jacs[0] = akg.tvm.compute(jacs[0].shape, lambda *indice: jacs[0](*indice).astype(dtype), name='res')
- return jacs[0]
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