/dports/misc/mxnet/incubator-mxnet-1.9.0/julia/src/ |
H A D | deprecated.jl | 75 function broadcast_plus(x::NDArray, y::NDArray) 80 function broadcast_add(x::NDArray, y::NDArray) 85 function broadcast_sub(x::NDArray, y::NDArray) 90 function broadcast_minus(x::NDArray, y::NDArray) 95 function broadcast_mul(x::NDArray, y::NDArray) 100 function broadcast_div(x::NDArray, y::NDArray) 105 function broadcast_mod(x::NDArray, y::NDArray) 110 function broadcast_power(x::NDArray, y::NDArray) 115 function broadcast_equal(x::NDArray, y::NDArray) 135 function broadcast_lesser(x::NDArray, y::NDArray) [all …]
|
H A D | initializer.jl | 62 function _init_loc_bias(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 67 function _init_bilinear(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 92 function _init_bias(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 95 function _init_gamma(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 98 function _init_beta(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 101 function _init_zero(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 105 function _init_default(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 124 _init_weight(i::UniformInitializer, name::Symbol, x::NDArray) = 143 _init_weight(i::NormalInitializer, name::Symbol, x::NDArray) = 177 function _init_weight(self :: XavierInitializer, name :: Base.Symbol, array :: NDArray)
|
H A D | autograd.jl | 227 backward!(head::NDArray, head_grad::NDArray; kws...) = 230 backward!(head::NDArray, head_grad::Cvoid = nothing; kws...) = 302 function getgrad(arr::NDArray) 327 function attach_grad!(x::NDArray, grad_req::Symbol = :write) 350 mark_variables!(var::NDArray, grad::NDArray, grad_reqs::Symbol = :write) = 396 function symbol(x::NDArray)
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/julia/src/ |
H A D | deprecated.jl | 75 function broadcast_plus(x::NDArray, y::NDArray) 80 function broadcast_add(x::NDArray, y::NDArray) 85 function broadcast_sub(x::NDArray, y::NDArray) 90 function broadcast_minus(x::NDArray, y::NDArray) 95 function broadcast_mul(x::NDArray, y::NDArray) 100 function broadcast_div(x::NDArray, y::NDArray) 105 function broadcast_mod(x::NDArray, y::NDArray) 110 function broadcast_power(x::NDArray, y::NDArray) 115 function broadcast_equal(x::NDArray, y::NDArray) 135 function broadcast_lesser(x::NDArray, y::NDArray) [all …]
|
H A D | initializer.jl | 62 function _init_loc_bias(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 67 function _init_bilinear(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 92 function _init_bias(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 95 function _init_gamma(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 98 function _init_beta(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 101 function _init_zero(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 105 function _init_default(self :: AbstractInitializer, name :: Base.Symbol, array :: NDArray) 124 _init_weight(i::UniformInitializer, name::Symbol, x::NDArray) = 143 _init_weight(i::NormalInitializer, name::Symbol, x::NDArray) = 177 function _init_weight(self :: XavierInitializer, name :: Base.Symbol, array :: NDArray)
|
H A D | autograd.jl | 227 backward!(head::NDArray, head_grad::NDArray; kws...) = 230 backward!(head::NDArray, head_grad::Cvoid = nothing; kws...) = 302 function getgrad(arr::NDArray) 327 function attach_grad!(x::NDArray, grad_req::Symbol = :write) 350 mark_variables!(var::NDArray, grad::NDArray, grad_reqs::Symbol = :write) = 396 function symbol(x::NDArray)
|
/dports/math/octave/octave-6.4.0/liboctave/array/ |
H A D | dNDArray.h | 44 NDArray (void) : MArray<double> () { } in NDArray() function 46 NDArray (const dim_vector& dv) : MArray<double> (dv) { } in NDArray() function 48 NDArray (const dim_vector& dv, double val) in NDArray() function 51 NDArray (const NDArray& a) : MArray<double> (a) { } in NDArray() function 57 NDArray (const MArray<U>& a) : MArray<double> (a) { } in NDArray() function 60 NDArray (const Array<U>& a) : MArray<double> (a) { } in NDArray() function 63 explicit NDArray (const intNDArray<U>& a) : MArray<double> (a) { } in NDArray() function 68 NDArray (double *sdata, octave_idx_type slen, octave_idx_type *adims, in NDArray() function
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/julia/src/ndarray/ |
H A D | array.jl | 85 function Base.size(x::NDArray) 100 length(x::NDArray) = prod(size(x)) 108 ndims(x::NDArray) = ndims(x.handle) 137 Base.first(x::NDArray) = _first(x) 150 function slice(arr::NDArray, ::Colon) 207 function setindex!(arr::NDArray, val::NDArray, ::Colon) 212 function setindex!(arr::NDArray, val::Union{T,Array{T},NDArray}, argument 255 getindex(arr::NDArray) = _first(arr) 285 function copy!(dst::NDArray, src::NDArray) 363 function deepcopy(arr::NDArray) [all …]
|
H A D | type.jl | 109 mutable struct NDArray{T,N} struct 110 handle :: MX_NDArrayHandle argument 113 NDArray{T,N}(handle::MX_NDArrayHandle, writable::Bool = true) where {T,N} = argument 129 NDArray(::UndefInitializer, dims::NTuple{N,Integer}; kw...) where {N} = function 131 NDArray(::UndefInitializer, dims::Vararg{Integer,N}; kw...) where {N} = function 134 NDArray(x::AbstractArray{<:DType}) = copy(collect(x), cpu()) function 135 NDArray(x::Array{<:DType}) = copy(x, cpu()) function 137 NDArray(::Type{T}, x::AbstractArray) where {T<:DType} = function 140 NDArray(handle, writable = true) = function 147 Base.unsafe_convert(::Type{MX_handle}, x::NDArray) = [all …]
|
H A D | arithmetic.jl | 41 function sub_from!(dst::NDArray, arg::NDArrayOrReal) 75 function mul_to!(dst::NDArray, arg::NDArrayOrReal) 115 function div_from!(dst::NDArray, arg::NDArrayOrReal) 137 function rdiv_from!(x::Real, y::NDArray) 177 mod_from!(x::NDArray, y::NDArray) = _mod!(x, y) 178 mod_from!(x::NDArray, y::Real) = _mod_scalar!(x, y) 186 rmod_from!(y::Real, x::NDArray) = _rmod_scalar!(x, y) 199 broadcasted(::typeof(%), y::Real, x::NDArray) = _rmod_scalar(x, y) 212 broadcasted(::typeof(^), ::Irrational{:ℯ}, x::NDArray) = exp(x) 257 Base.clamp(x::NDArray, lo::Real, hi::Real) = _clamp(x, lo, hi) [all …]
|
H A D | io.jl | 18 @inline _wait_to_read(arr :: NDArray) = 20 @inline _wait_to_write(arr :: NDArray) = 66 is_shared(::Array, ::NDArray) = false 94 function load(filename::AbstractString, ::Type{<:NDArray}) 122 save(filename::String, data::NDArray) = save(filename, [data])
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/julia/src/ndarray/ |
H A D | array.jl | 85 function Base.size(x::NDArray) 100 length(x::NDArray) = prod(size(x)) 108 ndims(x::NDArray) = ndims(x.handle) 137 Base.first(x::NDArray) = _first(x) 150 function slice(arr::NDArray, ::Colon) 207 function setindex!(arr::NDArray, val::NDArray, ::Colon) 212 function setindex!(arr::NDArray, val::Union{T,Array{T},NDArray}, argument 255 getindex(arr::NDArray) = _first(arr) 285 function copy!(dst::NDArray, src::NDArray) 363 function deepcopy(arr::NDArray) [all …]
|
H A D | type.jl | 109 mutable struct NDArray{T,N} struct 110 handle :: MX_NDArrayHandle argument 113 NDArray{T,N}(handle::MX_NDArrayHandle, writable::Bool = true) where {T,N} = argument 129 NDArray(::UndefInitializer, dims::NTuple{N,Integer}; kw...) where {N} = function 131 NDArray(::UndefInitializer, dims::Vararg{Integer,N}; kw...) where {N} = function 134 NDArray(x::AbstractArray{<:DType}) = copy(collect(x), cpu()) function 135 NDArray(x::Array{<:DType}) = copy(x, cpu()) function 137 NDArray(::Type{T}, x::AbstractArray) where {T<:DType} = function 140 NDArray(handle, writable = true) = function 147 Base.unsafe_convert(::Type{MX_handle}, x::NDArray) = [all …]
|
H A D | arithmetic.jl | 41 function sub_from!(dst::NDArray, arg::NDArrayOrReal) 75 function mul_to!(dst::NDArray, arg::NDArrayOrReal) 115 function div_from!(dst::NDArray, arg::NDArrayOrReal) 137 function rdiv_from!(x::Real, y::NDArray) 177 mod_from!(x::NDArray, y::NDArray) = _mod!(x, y) 178 mod_from!(x::NDArray, y::Real) = _mod_scalar!(x, y) 186 rmod_from!(y::Real, x::NDArray) = _rmod_scalar!(x, y) 199 broadcasted(::typeof(%), y::Real, x::NDArray) = _rmod_scalar(x, y) 212 broadcasted(::typeof(^), ::Irrational{:ℯ}, x::NDArray) = exp(x) 257 Base.clamp(x::NDArray, lo::Real, hi::Real) = _clamp(x, lo, hi) [all …]
|
H A D | io.jl | 18 @inline _wait_to_read(arr :: NDArray) = 20 @inline _wait_to_write(arr :: NDArray) = 66 is_shared(::Array, ::NDArray) = false 94 function load(filename::AbstractString, ::Type{<:NDArray}) 122 save(filename::String, data::NDArray) = save(filename, [data])
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/julia/src/optimizers/ |
H A D | sgd.jl | 69 create_state(sgd::SGD, ::Int, W::NDArray) = 72 function update!(sgd::SGD, ::Int, W::NDArray, ∇::NDArray, ::Nothing) 79 function update!(sgd::SGD, ::Int, W::NDArray, ∇::NDArray, ν::NDArray)
|
H A D | adagrad.jl | 67 create_state(::AdaGrad, ::Int, W::NDArray) = zeros(size(W), context(W)) 69 function update!(ada::AdaGrad, ::Int, W::NDArray, ∇::NDArray, x::NDArray)
|
H A D | rmsprop.jl | 72 create_state(::RMSProp, ::Int, W::NDArray) = zeros(size(W), context(W)) 74 function update!(rms::RMSProp, ::Int, W::NDArray, ∇::NDArray, s::NDArray)
|
H A D | adadelta.jl | 81 create_state(::AdaDelta, ::Int, W::NDArray) = 84 function update!(ada::AdaDelta, ::Int, W::NDArray, ∇::NDArray, s::AdaDeltaState)
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/julia/src/optimizers/ |
H A D | sgd.jl | 69 create_state(sgd::SGD, ::Int, W::NDArray) = 72 function update!(sgd::SGD, ::Int, W::NDArray, ∇::NDArray, ::Nothing) 79 function update!(sgd::SGD, ::Int, W::NDArray, ∇::NDArray, ν::NDArray)
|
H A D | adagrad.jl | 67 create_state(::AdaGrad, ::Int, W::NDArray) = zeros(size(W), context(W)) 69 function update!(ada::AdaGrad, ::Int, W::NDArray, ∇::NDArray, x::NDArray)
|
H A D | rmsprop.jl | 72 create_state(::RMSProp, ::Int, W::NDArray) = zeros(size(W), context(W)) 74 function update!(rms::RMSProp, ::Int, W::NDArray, ∇::NDArray, s::NDArray)
|
H A D | adadelta.jl | 81 create_state(::AdaDelta, ::Int, W::NDArray) = 84 function update!(ada::AdaDelta, ::Int, W::NDArray, ∇::NDArray, s::AdaDeltaState)
|
/dports/devel/py-jep/jep-3.9.1/src/main/java/jep/ |
H A D | NDArray.java | 53 public class NDArray<T extends Object> extends AbstractNDArray<T> { class 61 public NDArray(T data) { in NDArray() method in NDArray 73 public NDArray(T data, boolean unsigned) { in NDArray() method in NDArray 86 public NDArray(T data, int... dimensions) { in NDArray() method in NDArray 101 public NDArray(T data, boolean unsigned, int... dimensions) { in NDArray() method in NDArray
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/rust/tvm-rt/src/ |
H A D | value.rs | 93 impl<'a> TryFrom<ArgValue<'a>> for NDArray { implementation 95 fn try_from(val: ArgValue<'a>) -> Result<NDArray, Self::Error> { in try_from() 102 impl<'a, 'v> TryFrom<&'a ArgValue<'v>> for NDArray { implementation 104 fn try_from(val: &'a ArgValue<'v>) -> Result<NDArray, Self::Error> { in try_from() 120 impl TryFrom<RetValue> for NDArray { implementation 122 fn try_from(val: RetValue) -> Result<NDArray, Self::Error> { in try_from()
|