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- # 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.
-
- """operator dsl function: lessequal"""
- import _akg.tvm
- import _akg.topi
- from _akg.utils.dsl_create import produce_shapes
- from _akg.utils import validation_check as vc_util
-
-
- @vc_util.check_input_type(_akg.tvm.tensor.Tensor, _akg.tvm.tensor.Tensor)
- def less_equal(input1, input2):
- """
- Check whether input1 lessequals to input2.
-
- Args:
- input1 (tvm.tensor.Tensor): Tensor.
- input2 (tvm.tensor.Tensor): Tensor.
-
- Returns:
- tvm.tensor.Tensor. If input1 lessequal to input2 return True, else return False.
- """
- shape1 = [x.value for x in input1.shape]
- shape2 = [x.value for x in input2.shape]
- vc_util.check_shape(shape1)
- vc_util.check_shape(shape2)
-
- shape1, shape2, shape = produce_shapes(shape1, shape2)
-
- vc_util.elemwise_dtype_check(input1.dtype, input2.dtype)
- dtype = input1.dtype
-
- # get lessequal compute
- t_value = _akg.tvm.compute(shape, lambda *indice: _akg.tvm.const(1, dtype), "T")
- f_value = _akg.tvm.compute(shape, lambda *indice: _akg.tvm.const(0, dtype), "F")
-
- input1_bro = _akg.topi.broadcast_to(input1, shape)
- input2_bro = _akg.topi.broadcast_to(input2, shape)
- c_out = _akg.tvm.compute(shape, lambda *indice: _akg.tvm.expr.Select(input1_bro[indice] <= input2_bro[indice],
- t_value[indice], f_value[indice]), name="C")
- res = _akg.tvm.compute(shape, lambda *indice: c_out(*indice).astype("bool"), name="res")
-
- return res
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