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arithmetic.jl
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/
arithmetic.jl
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# 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.
import Base: +
"""
+(args...)
.+(args...)
Elementwise summation of `SymbolicNode`.
"""
function +(x::SymbolicNode, ys::SymbolicNodeOrReal...)
ret = x
for y ∈ ys
if y isa SymbolicNode
ret = _plus(ret, y)
else
ret = _plus_scalar(ret, scalar=MX_float(y))
end
end
ret
end
+(s::Real, x::SymbolicNode, ys::SymbolicNodeOrReal...) = +(x + s, ys...)
broadcasted(::typeof(+), x::SymbolicNode, ys::SymbolicNodeOrReal...) = +(x, ys...)
broadcasted(::typeof(+), s::Real, x::SymbolicNode, ys::SymbolicNodeOrReal...) = +(x + s, ys...)
import Base: -
"""
-(x, y)
.-(x, y)
Elementwise substraction of `SymbolicNode`.
Operating with `Real` is available.
"""
x::SymbolicNode - y::SymbolicNode = _minus(x, y)
x::SymbolicNode - s::Real = _minus_scalar(x, scalar=MX_float(s))
s::Real - x::SymbolicNode = _rminus_scalar(x, scalar=MX_float(s))
-(x::SymbolicNode) = 0 - x
broadcasted(::typeof(-), x::SymbolicNode, y::SymbolicNodeOrReal) = x - y
broadcasted(::typeof(-), s::Real, x::SymbolicNode) = s - x
import Base: *
"""
.*(x, y)
Elementwise multiplication of `SymbolicNode`.
"""
x::SymbolicNode * s::Real = _mul_scalar(x, scalar=MX_float(s))
s::Real * x::SymbolicNode = _mul_scalar(x, scalar=MX_float(s))
function broadcasted(::typeof(*), x::SymbolicNode, ys::SymbolicNodeOrReal...)
ret = x
for y in ys
if y isa SymbolicNode
ret = _mul(ret, y)
else
ret = _mul_scalar(ret, scalar=MX_float(y))
end
end
ret
end
broadcasted(::typeof(*), s::Real, x::SymbolicNode, ys::SymbolicNodeOrReal...) =
broadcasted(*, x * s, ys...)
import Base: /
"""
./(x, y)
* Elementwise dividing a `SymbolicNode` by a scalar or another `SymbolicNode`
of the same shape.
* Elementwise divide a scalar by an `SymbolicNode`.
* Matrix division (solving linear systems) is not implemented yet.
"""
x::SymbolicNode / s::Real = _DivScalar(x, scalar=MX_float(s))
broadcasted(::typeof(/), x::SymbolicNode, y::SymbolicNode) = _div(x, y)
broadcasted(::typeof(/), x::SymbolicNode, s::Real) = _div_scalar(x, scalar=MX_float(s))
broadcasted(::typeof(/), s::Real, x::SymbolicNode) = _rdiv_scalar(x, scalar=MX_float(s))
import Base: ^
"""
.^(x, y)
Elementwise power of `SymbolicNode` and `NDArray`.
Operating with `Real` is available.
"""
^
broadcasted(::typeof(^), x::SymbolicNode, y::SymbolicNode) = _power(x, y)
broadcasted(::typeof(^), x::SymbolicNode, s::Real) = _power_scalar(x, scalar = s)
broadcasted(::typeof(^), s::Real, x::SymbolicNode) = _rpower_scalar(x, scalar = s)
broadcasted(::typeof(Base.literal_pow), ::typeof(^), x::SymbolicNode, ::Val{s}) where {s} =
_power_scalar(x, scalar = s)
broadcasted(::typeof(^), ::Irrational{:ℯ}, x::SymbolicNode) = exp(x)
broadcasted(::typeof(^), x::SymbolicNode, s::Irrational) =
_power_scalar(x, scalar=MX_float(s))
broadcasted(::typeof(^), s::Irrational, x::SymbolicNode) =
_rpower_scalar(x, scalar=MX_float(s))