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ha-ndarray-0.5.0
ha-ndarray 0.5.0
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crates.io
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Owners
haydnv
Dependencies
destream ^0.10.1
normal
optional
frand ^0.10
normal
freqfs ^0.12.0
normal
optional
futures ^0.3
normal
optional
get-size ^0.1
normal
lazy_static ^1.5
normal
memoize ^0.5
normal
optional
num-complex ^0.4
normal
optional
num_cpus ^1.16
normal
number-general ^0.14
normal
ocl ^0.19
normal
optional
rayon ^1.10
normal
rustfft ^6.2
normal
optional
safecast ^0.2
normal
smallvec ^1.13
normal
transpose ^0.2
normal
wasm-bindgen ^0.2
normal
optional
Versions
38.66%
of the crate is documented
Platform
aarch64-apple-darwin
aarch64-unknown-linux-gnu
i686-pc-windows-msvc
x86_64-pc-windows-msvc
x86_64-unknown-linux-gnu
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Op
ha_
ndarray
0.5.0
Op
Required Methods
size
Implementors
In ha_
ndarray::
ops
ha_ndarray
::
ops
Trait
Op
Copy item path
Source
pub trait Op:
Send
+
Sync
{ // Required method fn
size
(&self) ->
usize
; }
Required Methods
§
Source
fn
size
(&self) ->
usize
Implementors
§
Source
§
impl
Op
for ha_ndarray::ops::
RandomNormal
Source
§
impl
Op
for ha_ndarray::ops::
RandomUniform
Source
§
impl
Op
for ha_ndarray::host::ops::
RandomNormal
Source
§
impl
Op
for ha_ndarray::host::ops::
RandomUniform
Source
§
impl<A, IT, OT>
Op
for ha_ndarray::ops::
Scalar
<A, IT, OT>
where A:
Access
<IT>, IT:
Number
, OT:
Number
,
Source
§
impl<A, IT, OT>
Op
for ha_ndarray::ops::
Unary
<A, IT, OT>
where A:
Access
<IT>, IT:
Number
, OT:
Number
,
Source
§
impl<A, IT, OT>
Op
for ha_ndarray::host::ops::
Scalar
<A, IT, OT>
where A:
Access
<IT>, IT:
Number
, OT:
Number
,
Source
§
impl<A, IT, OT>
Op
for ha_ndarray::host::ops::
Unary
<A, IT, OT>
where A:
Access
<IT>, IT:
Number
, OT:
Number
,
Source
§
impl<A, L, R, T>
Op
for ha_ndarray::ops::
Cond
<A, L, R, T>
where A:
Access
<
u8
>, L:
Access
<T>, R:
Access
<T>, T:
Number
,
Source
§
impl<A, L, R, T>
Op
for ha_ndarray::host::ops::
Cond
<A, L, R, T>
where A:
Access
<
u8
>, L:
Access
<T>, R:
Access
<T>, T:
Number
,
Source
§
impl<A, T>
Op
for ha_ndarray::host::ops::
Flip
<A, T>
where A:
Access
<T>, T:
Number
,
Source
§
impl<A, T>
Op
for
Concat
<A, T>
where A:
Access
<T>, T:
Number
,
Source
§
impl<A:
Access
<IT>, IT:
Number
, OT:
Number
>
Op
for ha_ndarray::ops::
Cast
<A, IT, OT>
Source
§
impl<A:
Access
<IT>, IT:
Number
, OT:
Number
>
Op
for ha_ndarray::host::ops::
Cast
<A, IT, OT>
Source
§
impl<A:
Access
<T>, T:
Number
>
Op
for ha_ndarray::ops::
Flip
<A, T>
Source
§
impl<A:
Access
<T>, T:
Number
>
Op
for ha_ndarray::ops::
MatDiag
<A, T>
Source
§
impl<A:
Access
<T>, T:
Number
>
Op
for ha_ndarray::ops::
Reduce
<A, T>
Source
§
impl<A:
Access
<T>, T:
Number
>
Op
for ha_ndarray::ops::
Slice
<A, T>
Source
§
impl<A:
Access
<T>, T:
Number
>
Op
for ha_ndarray::ops::
View
<A, T>
Source
§
impl<A:
Access
<T>, T:
Number
>
Op
for ha_ndarray::host::ops::
MatDiag
<A, T>
Source
§
impl<A:
Access
<T>, T:
Number
>
Op
for ha_ndarray::host::ops::
Reduce
<A, T>
Source
§
impl<A:
Access
<T>, T:
Number
>
Op
for ha_ndarray::host::ops::
View
<A, T>
Source
§
impl<A:
Send
+
Sync
, T:
Send
+
Sync
>
Op
for ha_ndarray::host::ops::
Slice
<A, T>
Source
§
impl<L, R, IT, OT>
Op
for ha_ndarray::ops::
Dual
<L, R, IT, OT>
where L:
Access
<IT>, R:
Access
<IT>, IT:
Number
, OT:
Number
,
Source
§
impl<L, R, IT, OT>
Op
for ha_ndarray::host::ops::
Dual
<L, R, IT, OT>
where L:
Access
<IT>, R:
Access
<IT>, IT:
Number
, OT:
Number
,
Source
§
impl<L, R, T>
Op
for ha_ndarray::ops::
MatMul
<L, R, T>
where L:
Access
<T>, R:
Access
<T>, T:
Number
,
Source
§
impl<L, R, T>
Op
for ha_ndarray::host::ops::
MatMul
<L, R, T>
where L:
Send
+
Sync
, R:
Send
+
Sync
, T:
Send
+
Sync
,
Source
§
impl<T:
Send
+
Sync
>
Op
for ha_ndarray::ops::
Linear
<T>
Source
§
impl<T:
Send
+
Sync
>
Op
for ha_ndarray::host::ops::
Linear
<T>