# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. #pylint: disable=invalid-name, unused-argument, len-as-condition """Backend compiler related feature registration""" from __future__ import absolute_import import topi from .op import register_compute, register_schedule, register_pattern, register_shape_func from .op import schedule_injective, OpPattern from ...hybrid import script schedule_broadcast = schedule_injective schedule_elemwise = schedule_injective register_schedule("log", schedule_broadcast) register_schedule("log1p", schedule_broadcast) register_schedule("cos", schedule_broadcast) register_schedule("sin", schedule_broadcast) register_schedule("atan", schedule_broadcast) register_schedule("exp", schedule_broadcast) register_schedule("erf", schedule_broadcast) register_schedule("sqrt", schedule_broadcast) register_schedule("rsqrt", schedule_broadcast) register_schedule("sigmoid", schedule_broadcast) register_schedule("floor", schedule_broadcast) register_schedule("ceil", schedule_broadcast) register_schedule("trunc", schedule_broadcast) register_schedule("round", schedule_broadcast) register_schedule("sign", schedule_broadcast) register_schedule("abs", schedule_broadcast) register_schedule("tanh", schedule_broadcast) register_schedule("logical_not", schedule_broadcast) register_schedule("negative", schedule_broadcast) register_schedule("copy", schedule_broadcast) register_schedule("add", schedule_broadcast) register_schedule("subtract", schedule_broadcast) register_schedule("multiply", schedule_broadcast) register_schedule("divide", schedule_broadcast) register_schedule("floor_divide", schedule_broadcast) register_schedule("power", schedule_injective) register_schedule("mod", schedule_broadcast) register_schedule("floor_mod", schedule_broadcast) register_schedule("logical_and", schedule_broadcast) register_schedule("logical_or", schedule_broadcast) register_schedule("equal", schedule_broadcast) register_schedule("not_equal", schedule_broadcast) register_schedule("less", schedule_broadcast) register_schedule("less_equal", schedule_broadcast) register_schedule("greater", schedule_broadcast) register_schedule("greater_equal", schedule_broadcast) register_schedule("maximum", schedule_injective) register_schedule("minimum", schedule_injective) register_schedule("right_shift", schedule_injective) register_schedule("left_shift", schedule_injective) register_schedule("shape_of", schedule_injective) # zeros @register_compute("zeros") def zeros_compute(attrs, inputs, output_type, target): assert not inputs return [topi.full(output_type.shape, output_type.dtype, 0.0)] register_schedule("zeros", schedule_broadcast) register_pattern("zeros", OpPattern.ELEMWISE) # zeros_like @register_compute("zeros_like") def zeros_like_compute(attrs, inputs, output_type, target): assert len(inputs) == 1 return [topi.full_like(inputs[0], 0.0)] register_schedule("zeros_like", schedule_broadcast) # ones @register_compute("ones") def ones_compute(attrs, inputs, output_type, target): assert not inputs return [topi.full(output_type.shape, output_type.dtype, 1.0)] register_schedule("ones", schedule_broadcast) register_pattern("ones", OpPattern.ELEMWISE) # ones_like @register_compute("ones_like") def ones_like(attrs, inputs, output_type, target): assert len(inputs) == 1 return [topi.full_like(inputs[0], 1.0)] register_schedule("ones_like", schedule_broadcast) # clip @register_compute("clip") def clip_compute(attrs, inputs, output_type, target): assert len(inputs) == 1 return [topi.clip(inputs[0], attrs.a_min, attrs.a_max)] register_schedule("clip", schedule_elemwise) @script def _cast_shape_function(x): out_ndim = len(x) out = output_tensor((out_ndim,), "int64") for i in const_range(out_ndim): out[i] = x[i] return out def cast_shape_func(attrs, inputs, out_ndims): return [_cast_shape_function(*inputs)] # shape func @script def _broadcast_shape_func(x, y, ndim): out = output_tensor((ndim,), "int64") if len(x.shape) == 0: for i in const_range(ndim): out[i] = y[i] elif len(y.shape) == 0: for i in const_range(ndim): out[i] = x[i] else: ndim1 = x.shape[0] ndim2 = y.shape[0] for i in const_range(1, min(ndim1, ndim2)+1): if x[ndim1-i] == y[ndim2-i]: out[ndim-i] = x[ndim1-i] elif x[ndim1-i] == 1: out[ndim-i] = y[ndim2-i] else: assert y[ndim2 - i] == 1, "Incompatible broadcast type %s and %s" % ( x[ndim1-i], y[ndim2-i]) out[ndim-i] = x[ndim1-i] for i in const_range(min(ndim1, ndim2)+1, ndim+1): if ndim1 >= ndim2: out[ndim-i] = x[ndim1-i] else: out[ndim-i] = y[ndim2-i] return out def broadcast_shape_func(attrs, inputs, out_ndims): """ Shape function for broadcast op. """ return [_broadcast_shape_func(*inputs, out_ndims[0])] def elemwise_shape_func(attrs, inputs, _): """ Shape function for elemwise op. """ return [topi.math.identity(inputs[0])] register_shape_func("cast", False, cast_shape_func) register_shape_func("add", False, broadcast_shape_func) register_shape_func("subtract", False, broadcast_shape_func) register_shape_func("multiply", False, broadcast_shape_func) register_shape_func("divide", False, broadcast_shape_func) register_shape_func("floor_divide", False, broadcast_shape_func) register_shape_func("mod", False, broadcast_shape_func) register_shape_func("floor_mod", False, broadcast_shape_func) register_shape_func("logical_and", False, broadcast_shape_func) register_shape_func("logical_or", False, broadcast_shape_func) register_shape_func("equal", False, broadcast_shape_func) register_shape_func("not_equal", False, broadcast_shape_func) register_shape_func("less", False, broadcast_shape_func) register_shape_func("less_equal", False, broadcast_shape_func) register_shape_func("greater", False, broadcast_shape_func) register_shape_func("greater_equal", False, broadcast_shape_func) register_shape_func("sqrt", False, elemwise_shape_func) register_shape_func("negative", False, elemwise_shape_func)