#!/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: equal""" import akg.tvm import akg import akg.lang.cce from akg.ops.math.cast import cast from akg.ops.math.sub import sub from akg.utils import validation_check as vc_util from akg.utils import kernel_exec as utils @vc_util.check_input_type(akg.tvm.tensor.Tensor, akg.tvm.tensor.Tensor) def equal(input1, input2): """ check whether input1 equals to input2. Args: input1 (tvm.tensor.Tensor): input argument has type float16, float32 and int32. input2 (tvm.tensor.Tensor): input argument has type float16, float32 and int32. Returns: tvm.tensor.Tensor. If input1 equal to input2 return True, else return False. """ # check shapes shape1 = [x.value for x in input1.shape] shape2 = [x.value for x in input2.shape] shapes = [shape1, shape2] for _, shp in enumerate(shapes): vc_util.check_shape(shp) vc_util.ops_dtype_check([input1.dtype, input2.dtype], [vc_util.DtypeForDavinci.ALL_FLOAT, vc_util.DtypeForDavinci.INT32, vc_util.DtypeForDavinci.INT8, vc_util.DtypeForDavinci.UINT8]) dtype = input1.dtype orig_dtype = dtype if utils.product_is_mini() and dtype != "float16": dtype = "float16" if (not utils.product_is_mini()) and dtype not in ("float16", "float32"): # for int32, if cast to float16, there may be overflow dtype = "float32" if orig_dtype == "float32" and dtype == "float16": input_sub = sub(input1, input2) input_sub = cast(input_sub, dtype) zero = akg.tvm.const(0.0, dtype) res = akg.topi.equal(input_sub, zero) else: input1 = cast(input1, dtype) input2 = cast(input2, dtype) res = akg.topi.equal(input1, input2) return res