# 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: greaterequal""" 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 greater_equal(input1, input2): """ Check whether input1 greaterquals to input2. Args: input1 (tvm.tensor.Tensor): Tensor. input2 (tvm.tensor.Tensor): Tensor. Returns: tvm.tensor.Tensor. If input1 greaterquals 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 greaterquals 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