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2f614106
编写于
8月 27, 2018
作者:
R
Ruilong Liu
提交者:
GitHub
8月 27, 2018
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差异文件
Merge pull request #842 from codeWorm2015/metal
update
上级
4e9071d5
03111377
变更
5
显示空白变更内容
内联
并排
Showing
5 changed file
with
70 addition
and
64 deletion
+70
-64
metal/paddle-mobile/paddle-mobile/Common/MetalExtension.swift
...l/paddle-mobile/paddle-mobile/Common/MetalExtension.swift
+1
-1
metal/paddle-mobile/paddle-mobile/Executor.swift
metal/paddle-mobile/paddle-mobile/Executor.swift
+1
-1
metal/paddle-mobile/paddle-mobile/Operators/ConcatOp.swift
metal/paddle-mobile/paddle-mobile/Operators/ConcatOp.swift
+12
-6
metal/paddle-mobile/paddle-mobile/Operators/Kernels/metal/ReshapeKernel.metal
...paddle-mobile/Operators/Kernels/metal/ReshapeKernel.metal
+51
-52
metal/paddle-mobile/paddle-mobile/Operators/ReshapeOp.swift
metal/paddle-mobile/paddle-mobile/Operators/ReshapeOp.swift
+5
-4
未找到文件。
metal/paddle-mobile/paddle-mobile/Common/MetalExtension.swift
浏览文件 @
2f614106
...
...
@@ -381,7 +381,7 @@ public extension MTLTexture {
for
w
in
0
..<
dim
.
w
{
for
sliceIndex
in
0
..<
arrayLength
{
if
sliceIndex
*
4
+
4
>
dim
.
c
{
for
i
in
0
..<
(
(
sliceIndex
*
4
+
4
)
-
dim
.
c
)
{
for
i
in
0
..<
(
4
-
((
sliceIndex
*
4
+
4
)
-
dim
.
c
)
)
{
let
value
=
textureArray
[
sliceIndex
*
numOfASlice
+
h
*
dim
.
w
*
4
+
w
*
4
+
i
]
output
.
append
(
value
)
}
...
...
metal/paddle-mobile/paddle-mobile/Executor.swift
浏览文件 @
2f614106
...
...
@@ -14,7 +14,7 @@
import
Foundation
let
testTo
=
48
let
testTo
=
93
public
class
ResultHolder
<
P
:
PrecisionType
>
{
public
let
dim
:
[
Int
]
...
...
metal/paddle-mobile/paddle-mobile/Operators/ConcatOp.swift
浏览文件 @
2f614106
...
...
@@ -59,15 +59,21 @@ class ConcatOp<P: PrecisionType>: Operator<ConcatKernel<P>, ConcatParam<P>>, Run
}
func
delogOutput
()
{
let
outputArray
=
para
.
output
.
metalTexture
.
floatArray
{
(
o
:
Float32
)
->
Float32
in
return
o
}
// print(outputArray.strideArray())
let
originDim
=
para
.
output
.
originDim
let
outputArray
=
para
.
output
.
metalTexture
.
realNHWC
(
dim
:
(
n
:
originDim
[
0
],
h
:
originDim
[
1
],
w
:
originDim
[
2
],
c
:
originDim
[
3
]))
print
(
outputArray
.
strideArray
())
writeToLibrary
(
fileName
:
"concat_out"
,
array
:
outputArray
)
let
device
:
MTLDevice
=
MTLCreateSystemDefaultDevice
()
!
// let outputArray = para.output.metalTexture.floatArray { (o: Float32) -> Float32 in
// return o
// }
//
//// print(outputArray.strideArray())
//
// writeToLibrary(fileName: "concat_out", array: outputArray)
//
// let device: MTLDevice = MTLCreateSystemDefaultDevice()!
// let tensorArray: [P] = device.texture2tensor(texture: para.output.metalTexture, dim: [1917, 4])
...
...
metal/paddle-mobile/paddle-mobile/Operators/Kernels/metal/ReshapeKernel.metal
浏览文件 @
2f614106
...
...
@@ -24,53 +24,53 @@ struct ReshapeParam {
int32_t otrans[4];
};
kernel void reshape(texture2d_array<float, access::read> inTexture [[texture(0)]],
texture2d_array<float, access::write> outTexture [[texture(1)]],
constant ReshapeParam &rp [[buffer(0)]],
uint3 gid [[thread_position_in_grid]]) {
if (gid.x >= outTexture.get_width() ||
gid.y >= outTexture.get_height() ||
gid.z >= outTexture.get_array_size()) return;
int oxyzn[4] = {int(gid.x), int(gid.y), int(gid.z), 0}, oabcd[4], ixyzn[4];
ReshapeParam lrp = rp;
int oC = lrp.odim[lrp.otrans[3]];
int iC = lrp.idim[lrp.itrans[3]];
int count = lrp.odim[0] * lrp.odim[1] * lrp.odim[2] * lrp.odim[3];
float4 r;
for (int n = 0; n < 4; n++) {
oxyzn[3] = n;
//4 (gid.x gid.y, gid.z, 0~4)
xyzn2abcd(oC, oxyzn, oabcd);
int tabcd[4];
invtrans(lrp.otrans, oabcd, tabcd);
int index = abcd2index(lrp.odim, tabcd);
if (index < count) {
int c = index % 4;
int temp0 = index % (inTexture.get_array_size() * 4);
int slice = temp0 / 4;
int temp1 = index % (inTexture.get_array_size() * 4 * lrp.idim[2]);
int w = temp1 / (inTexture.get_array_size() * 4);
int h = index / (inTexture.get_array_size() * 4 * lrp.idim[2]);
//kernel void reshape(texture2d_array<float, access::read> inTexture [[texture(0)]],
// texture2d_array<float, access::write> outTexture [[texture(1)]],
// constant ReshapeParam &rp [[buffer(0)]],
// uint3 gid [[thread_position_in_grid]]) {
// if (gid.x >= outTexture.get_width() ||
// gid.y >= outTexture.get_height() ||
// gid.z >= outTexture.get_array_size()) return;
//
// int oxyzn[4] = {int(gid.x), int(gid.y), int(gid.z), 0}, oabcd[4], ixyzn[4];
// ReshapeParam lrp = rp;
// int oC = lrp.odim[lrp.otrans[3]];
// int iC = lrp.idim[lrp.itrans[3]];
// int count = lrp.odim[0] * lrp.odim[1] * lrp.odim[2] * lrp.odim[3];
// float4 r;
// for (int n = 0; n < 4; n++) {
// oxyzn[3] = n;
//
// //4 (gid.x gid.y, gid.z, 0~4)
// xyzn2abcd(oC, oxyzn, oabcd);
// int tabcd[4];
// invtrans(lrp.otrans, oabcd, tabcd);
// int index = abcd2index(lrp.odim, tabcd);
// if (index < count) {
// int c = index % 4;
//
// int temp0 = index % (inTexture.get_array_size() * 4);
// int slice = temp0 / 4;
//
// int temp1 = index % (inTexture.get_array_size() * 4 * lrp.idim[2]);
// int w = temp1 / (inTexture.get_array_size() * 4);
//
// int h = index / (inTexture.get_array_size() * 4 * lrp.idim[2]);
//
//// index2abcd(lrp.idim, index, tabcd);
//// abcd2xyzn(iC, tabcd, ixyzn);
// r[n] = inTexture.read(uint2(w, h), slice)[c];
// } else {
// r[n] = 0;
// }
// }
// outTexture.write(r, gid.xy, gid.z);
//}
// index2abcd(lrp.idim, index, tabcd);
// abcd2xyzn(iC, tabcd, ixyzn);
r[n] = inTexture.read(uint2(w, h), slice)[c];
} else {
r[n] = 0;
}
}
outTexture.write(r, gid.xy, gid.z);
}
/*
kernel void reshape(texture2d_array<float, access::read> inTexture [[texture(0)]],
kernel void reshape(texture2d_array<float, access::read> inTexture [[texture(0)]],
texture2d_array<float, access::write> outTexture [[texture(1)]],
constant ReshapeParam &rp [[buffer(0)]],
uint3 gid [[thread_position_in_grid]]) {
...
...
@@ -93,15 +93,14 @@ kernel void reshape(texture2d_array<float, access::read> inTexture [[texture(0)]
if (index < count) {
index2abcd(lrp.idim, index, tabcd);
trans(lrp.itrans, tabcd, iabcd);
abcd2xyzn(iC, t
abcd, ixyzn);
abcd2xyzn(iC, i
abcd, ixyzn);
r[n] = inTexture.read(uint2(ixyzn[0], ixyzn[1]), ixyzn[2])[ixyzn[3]];
} else {
r[n] = 0;
}
}
outTexture.write(r, gid.xy, gid.z);
}
*/
}
//
//kernel void reshape_half(texture2d_array<half, access::read> inTexture [[texture(0)]],
...
...
metal/paddle-mobile/paddle-mobile/Operators/ReshapeOp.swift
浏览文件 @
2f614106
...
...
@@ -53,10 +53,11 @@ class ReshapeOp<P: PrecisionType>: Operator<ReshapeKernel<P>, ReshapeParam<P>>,
func
delogOutput
()
{
print
(
"reshape delog"
)
// let _: P? = para.input.metalTexture.logDesc(header: "reshape input: ", stridable: false)
let
_
:
P
?
=
para
.
output
.
metalTexture
.
logDesc
(
header
:
"reshape output: "
,
stridable
:
true
)
let
deivice
=
MTLCreateSystemDefaultDevice
()
!
let
array
:
[
Float32
]
=
deivice
.
texture2tensor
(
texture
:
para
.
output
.
metalTexture
,
dim
:
[
1
,
1
,
600
,
7
])
print
(
array
.
strideArray
())
let
originDim
=
para
.
output
.
originDim
let
outputArray
=
para
.
output
.
metalTexture
.
realNHWC
(
dim
:
(
n
:
originDim
[
0
],
h
:
originDim
[
1
],
w
:
originDim
[
2
],
c
:
originDim
[
3
]))
print
(
outputArray
.
strideArray
())
}
}
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