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40642fe0
编写于
9月 01, 2018
作者:
L
liuruilong
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix dilation bug
上级
8cbed747
变更
9
隐藏空白更改
内联
并排
Showing
9 changed file
with
119 addition
and
18 deletion
+119
-18
metal/paddle-mobile/paddle-mobile/Common/PaddleMobileUnitTest.swift
...le-mobile/paddle-mobile/Common/PaddleMobileUnitTest.swift
+1
-1
metal/paddle-mobile/paddle-mobile/Executor.swift
metal/paddle-mobile/paddle-mobile/Executor.swift
+4
-1
metal/paddle-mobile/paddle-mobile/Operators/ConvAddOp.swift
metal/paddle-mobile/paddle-mobile/Operators/ConvAddOp.swift
+12
-0
metal/paddle-mobile/paddle-mobile/Operators/Kernels/ConvAddBatchNormReluKernel.swift
...mobile/Operators/Kernels/ConvAddBatchNormReluKernel.swift
+1
-1
metal/paddle-mobile/paddle-mobile/Operators/Kernels/ConvAddKernel.swift
...obile/paddle-mobile/Operators/Kernels/ConvAddKernel.swift
+2
-2
metal/paddle-mobile/paddle-mobile/Operators/Kernels/ConvBNReluKernel.swift
...le/paddle-mobile/Operators/Kernels/ConvBNReluKernel.swift
+1
-1
metal/paddle-mobile/paddle-mobile/Operators/Kernels/ConvKernel.swift
...e-mobile/paddle-mobile/Operators/Kernels/ConvKernel.swift
+1
-2
metal/paddle-mobile/paddle-mobile/Operators/Kernels/metal/Common.metal
...mobile/paddle-mobile/Operators/Kernels/metal/Common.metal
+1
-0
metal/paddle-mobile/paddle-mobile/Operators/Kernels/metal/ConvAddMetal.metal
.../paddle-mobile/Operators/Kernels/metal/ConvAddMetal.metal
+96
-10
未找到文件。
metal/paddle-mobile/paddle-mobile/Common/PaddleMobileUnitTest.swift
浏览文件 @
40642fe0
...
...
@@ -314,7 +314,7 @@ public class PaddleMobileUnitTest {
let
offsetX
=
filterSize
.
width
/
2
-
paddings
.
0
let
offsetY
=
filterSize
.
height
/
2
-
paddings
.
1
let
metalParam
=
MetalConvParam
.
init
(
offsetX
:
Int16
(
offsetX
),
offsetY
:
Int16
(
offsetY
),
offsetZ
:
0
,
strideX
:
UInt16
(
stride
.
0
),
strideY
:
UInt16
(
stride
.
1
),
paddedZ
:
UInt16
(
paddings
.
0
),
dilationX
:
UInt16
(
1
),
dilationY
:
UInt16
(
1
))
let
metalParam
=
MetalConvParam
.
init
(
offsetX
:
Int16
(
offsetX
),
offsetY
:
Int16
(
offsetY
),
offsetZ
:
0
,
strideX
:
UInt16
(
stride
.
0
),
strideY
:
UInt16
(
stride
.
1
),
dilationX
:
UInt16
(
1
),
dilationY
:
UInt16
(
1
))
let
param
=
ConvAddBatchNormReluTestParam
.
init
(
inInputTexture
:
inputeTexture
,
inOutputTexture
:
outputTexture
,
inMetalParam
:
metalParam
,
inFilterBuffer
:
filterBuffer
,
inBiaseBuffer
:
biaseBuffer
,
inNewScaleBuffer
:
newScalueBuffer
,
inNewBiaseBuffer
:
newBiaseBuffer
,
inFilterSize
:
filterSize
)
...
...
metal/paddle-mobile/paddle-mobile/Executor.swift
浏览文件 @
40642fe0
...
...
@@ -15,6 +15,8 @@
import
Foundation
let
testTo
=
54
var
isTest
=
false
let
computePrecision
:
ComputePrecision
=
.
Float32
...
...
@@ -131,8 +133,9 @@ public class Executor<P: PrecisionType> {
print
(
" 第
\(
i
)
个 op: "
)
op
.
delogOutput
()
}
// self.ops[53].delogOutput()
//
return
return
let
afterDate
=
Date
.
init
()
...
...
metal/paddle-mobile/paddle-mobile/Operators/ConvAddOp.swift
浏览文件 @
40642fe0
...
...
@@ -93,11 +93,23 @@ class ConvAddOp<P: PrecisionType>: Operator<ConvAddKernel<P>, ConvAddParam<P>>,
}
func
delogOutput
()
{
print
(
" padding: "
)
print
(
para
.
paddings
)
print
(
"stride: "
)
print
(
para
.
stride
)
print
(
"dilations: "
)
print
(
para
.
dilations
)
print
(
"
\(
type
)
output: "
)
print
(
" para input dim: "
)
print
(
para
.
input
.
dim
)
print
(
" para filter dim: "
)
print
(
para
.
filter
.
dim
)
print
(
" para output dim: "
)
print
(
para
.
output
.
dim
)
print
(
" biase: "
)
let
biase
:
[
Float32
]
=
para
.
y
.
buffer
.
array
()
print
(
biase
)
print
(
para
.
output
.
metalTexture
.
toTensor
(
dim
:
(
n
:
para
.
output
.
tensorDim
[
0
],
c
:
para
.
output
.
tensorDim
[
1
],
h
:
para
.
output
.
tensorDim
[
2
],
w
:
para
.
output
.
tensorDim
[
3
]),
texturePrecision
:
computePrecision
)
.
strideArray
())
}
...
...
metal/paddle-mobile/paddle-mobile/Operators/Kernels/ConvAddBatchNormReluKernel.swift
浏览文件 @
40642fe0
...
...
@@ -77,7 +77,7 @@ class ConvAddBatchNormReluKernel<P: PrecisionType>: Kernel, Computable, Testable
print
(
"offset y:
\(
offsetY
)
"
)
let
offsetZ
=
0.0
metalParam
=
MetalConvParam
.
init
(
offsetX
:
Int16
(
offsetX
),
offsetY
:
Int16
(
offsetY
),
offsetZ
:
Int16
(
offsetZ
),
strideX
:
UInt16
(
param
.
stride
[
0
]),
strideY
:
UInt16
(
param
.
stride
[
1
]),
paddedZ
:
UInt16
(
param
.
input
.
metalTexture
.
arrayLength
*
4
-
param
.
input
.
dim
[
3
]),
dilationX
:
UInt16
(
param
.
dilations
[
0
]),
dilationY
:
UInt16
(
param
.
dilations
[
1
]))
metalParam
=
MetalConvParam
.
init
(
offsetX
:
Int16
(
offsetX
),
offsetY
:
Int16
(
offsetY
),
offsetZ
:
Int16
(
offsetZ
),
strideX
:
UInt16
(
param
.
stride
[
0
]),
strideY
:
UInt16
(
param
.
stride
[
1
]),
dilationX
:
UInt16
(
param
.
dilations
[
0
]),
dilationY
:
UInt16
(
param
.
dilations
[
1
]))
var
invs
:
[
P
]
=
[]
let
varianceContents
=
param
.
variance
.
buffer
.
contents
()
.
assumingMemoryBound
(
to
:
P
.
self
)
...
...
metal/paddle-mobile/paddle-mobile/Operators/Kernels/ConvAddKernel.swift
浏览文件 @
40642fe0
...
...
@@ -17,7 +17,6 @@ import Foundation
class
ConvAddKernel
<
P
:
PrecisionType
>
:
Kernel
,
Computable
{
var
metalParam
:
MetalConvParam
!
required
init
(
device
:
MTLDevice
,
param
:
ConvAddParam
<
P
>
)
{
if
computePrecision
==
.
Float16
{
if
param
.
filter
.
width
==
1
&&
param
.
filter
.
height
==
1
{
super
.
init
(
device
:
device
,
inFunctionName
:
"conv_add_1x1_half"
)
...
...
@@ -47,11 +46,12 @@ class ConvAddKernel<P: PrecisionType>: Kernel, Computable {
param
.
filter
.
initBuffer
(
device
:
device
,
precision
:
computePrecision
)
param
.
y
.
initBuffer
(
device
:
device
,
precision
:
computePrecision
)
print
(
" function:
\(
functionName
)
"
)
print
(
"offset x:
\(
offsetX
)
"
)
print
(
"offset y:
\(
offsetY
)
"
)
let
offsetZ
=
0.0
let
inMetalParam
=
MetalConvParam
.
init
(
offsetX
:
Int16
(
offsetX
),
offsetY
:
Int16
(
offsetY
),
offsetZ
:
Int16
(
offsetZ
),
strideX
:
UInt16
(
param
.
stride
[
0
]),
strideY
:
UInt16
(
param
.
stride
[
1
]),
paddedZ
:
UInt16
(
param
.
input
.
metalTexture
.
arrayLength
*
4
-
param
.
input
.
dim
[
3
]),
dilationX
:
UInt16
(
param
.
dilations
[
0
]),
dilationY
:
UInt16
(
param
.
dilations
[
1
]))
let
inMetalParam
=
MetalConvParam
.
init
(
offsetX
:
Int16
(
offsetX
),
offsetY
:
Int16
(
offsetY
),
offsetZ
:
Int16
(
offsetZ
),
strideX
:
UInt16
(
param
.
stride
[
0
]),
strideY
:
UInt16
(
param
.
stride
[
1
]),
dilationX
:
UInt16
(
param
.
dilations
[
0
]),
dilationY
:
UInt16
(
param
.
dilations
[
1
]))
print
(
"metal param: "
)
print
(
inMetalParam
)
...
...
metal/paddle-mobile/paddle-mobile/Operators/Kernels/ConvBNReluKernel.swift
浏览文件 @
40642fe0
...
...
@@ -93,7 +93,7 @@ class ConvBNReluKernel<P: PrecisionType>: Kernel, Computable, Testable {
let
offsetZ
=
0.0
print
(
" fuck "
)
metalParam
=
MetalConvParam
.
init
(
offsetX
:
Int16
(
offsetX
),
offsetY
:
Int16
(
offsetY
),
offsetZ
:
Int16
(
offsetZ
),
strideX
:
UInt16
(
param
.
stride
[
0
]),
strideY
:
UInt16
(
param
.
stride
[
1
]),
paddedZ
:
UInt16
(
param
.
input
.
metalTexture
.
arrayLength
*
4
-
param
.
input
.
dim
[
3
]),
dilationX
:
UInt16
(
param
.
dilations
[
0
]),
dilationY
:
UInt16
(
param
.
dilations
[
1
]))
metalParam
=
MetalConvParam
.
init
(
offsetX
:
Int16
(
offsetX
),
offsetY
:
Int16
(
offsetY
),
offsetZ
:
Int16
(
offsetZ
),
strideX
:
UInt16
(
param
.
stride
[
0
]),
strideY
:
UInt16
(
param
.
stride
[
1
]),
dilationX
:
UInt16
(
param
.
dilations
[
0
]),
dilationY
:
UInt16
(
param
.
dilations
[
1
]))
var
invs
:
[
P
]
=
[]
let
varianceContents
=
param
.
variance
.
buffer
.
contents
()
.
assumingMemoryBound
(
to
:
P
.
self
)
...
...
metal/paddle-mobile/paddle-mobile/Operators/Kernels/ConvKernel.swift
浏览文件 @
40642fe0
...
...
@@ -20,7 +20,6 @@ public struct MetalConvParam {
let
offsetZ
:
Int16
let
strideX
:
UInt16
let
strideY
:
UInt16
let
paddedZ
:
UInt16
let
dilationX
:
UInt16
let
dilationY
:
UInt16
}
...
...
@@ -41,7 +40,7 @@ class ConvKernel<P: PrecisionType>: Kernel, Computable {
let
offsetZ
=
0.0
param
.
filter
.
initBuffer
(
device
:
device
,
precision
:
ComputePrecision
.
Float32
)
metalParam
=
MetalConvParam
.
init
(
offsetX
:
Int16
(
offsetX
),
offsetY
:
Int16
(
offsetY
),
offsetZ
:
Int16
(
offsetZ
),
strideX
:
UInt16
(
param
.
stride
[
0
]),
strideY
:
UInt16
(
param
.
stride
[
1
]),
paddedZ
:
UInt16
(
param
.
input
.
metalTexture
.
arrayLength
*
4
-
param
.
input
.
dim
[
3
]),
dilationX
:
UInt16
(
param
.
dilations
[
0
]),
dilationY
:
UInt16
(
param
.
dilations
[
1
]))
metalParam
=
MetalConvParam
.
init
(
offsetX
:
Int16
(
offsetX
),
offsetY
:
Int16
(
offsetY
),
offsetZ
:
Int16
(
offsetZ
),
strideX
:
UInt16
(
param
.
stride
[
0
]),
strideY
:
UInt16
(
param
.
stride
[
1
]),
dilationX
:
UInt16
(
param
.
dilations
[
0
]),
dilationY
:
UInt16
(
param
.
dilations
[
1
]))
}
func
compute
(
commandBuffer
:
MTLCommandBuffer
,
param
:
ConvParam
<
P
>
)
throws
{
...
...
metal/paddle-mobile/paddle-mobile/Operators/Kernels/metal/Common.metal
浏览文件 @
40642fe0
...
...
@@ -68,3 +68,4 @@ struct MetalConvParam {
ushort dilationX;
ushort dilationY;
};
metal/paddle-mobile/paddle-mobile/Operators/Kernels/metal/ConvAddMetal.metal
浏览文件 @
40642fe0
...
...
@@ -66,8 +66,6 @@ kernel void conv_add_3x3(texture2d_array<float, access::sample> inTexture [[text
constant MetalConvParam ¶m [[buffer(0)]],
const device float4 *weights [[buffer(1)]],
const device float4 *biase [[buffer(2)]],
const device float4 *new_scale [[buffer(3)]],
const device float4 *new_biase [[buffer(4)]],
uint3 gid [[thread_position_in_grid]]) {
if (gid.x >= outTexture.get_width() ||
...
...
@@ -80,8 +78,11 @@ kernel void conv_add_3x3(texture2d_array<float, access::sample> inTexture [[text
const ushort2 posInInput = ushort2(gid.xy) * stride + ushort2(param.offsetX, param.offsetY);
constexpr sampler sample(coord::pixel, filter::nearest, address::clamp_to_zero);
const uint kernelHXW = 9;
uint input_arr_size = inTexture.get_array_size();
uint weithTo = gid.z * kernelHXW * input_arr_size * 4;
float4 output = float4(0.0);
...
...
@@ -90,16 +91,35 @@ kernel void conv_add_3x3(texture2d_array<float, access::sample> inTexture [[text
ushort dilation_y = param.dilationY;
float4 input[9];
for (uint i = 0; i < input_arr_size; ++i) {
input[0] = inTexture.sample(sample, float2(posInInput.x - dilation_x, posInInput.y - dilation_y), i);
// input[0] = inTexture.sample(sample, float2(posInInput.x - 1, posInInput.y - 1), i);
// input[1] = inTexture.sample(sample, float2(posInInput.x, posInInput.y - 1), i);
// input[2] = inTexture.sample(sample, float2(posInInput.x + 1, posInInput.y - 1), i);
// input[3] = inTexture.sample(sample, float2(posInInput.x - 1, posInInput.y), i);
// input[4] = inTexture.sample(sample, float2(posInInput.x, posInInput.y), i);
// input[5] = inTexture.sample(sample, float2(posInInput.x + 1, posInInput.y), i);
// input[6] = inTexture.sample(sample, float2(posInInput.x - 1, posInInput.y + 1), i);
// input[7] = inTexture.sample(sample, float2(posInInput.x, posInInput.y + 1), i);
// input[8] = inTexture.sample(sample, float2(posInInput.x + 1, posInInput.y + 1), i);
input[0] = inTexture.sample(sample, float2(posInInput.x - dilation_x, posInInput.y - dilation_y), i);
input[1] = inTexture.sample(sample, float2(posInInput.x, posInInput.y - dilation_y), i);
input[2] = inTexture.sample(sample, float2(posInInput.x + dilation_x, posInInput.y - dilation_y), i);
input[2] = inTexture.sample(sample, float2(posInInput.x + dilation_x, posInInput.y - dilation_y), i);
input[3] = inTexture.sample(sample, float2(posInInput.x - dilation_x, posInInput.y), i);
input[4] = inTexture.sample(sample, float2(posInInput.x, posInInput.y), i);
input[5] = inTexture.sample(sample, float2(posInInput.x + dilation_x, posInInput.y), i);
input[6] = inTexture.sample(sample, float2(posInInput.x - dilation_x, posInInput.y + dilation_y), i);
input[7] = inTexture.sample(sample, float2(posInInput.x, posInInput.y + dilation_y), i);
input[8] = inTexture.sample(sample, float2(posInInput.x + dilation_x, posInInput.y + dilation_y), i);
for (int j = 0; j < 9; ++j) {
float4 weight_x = weights[weithTo + 0 * kernelHXW * input_arr_size + j * input_arr_size + i];
output.x += dot(input[j], weight_x);
...
...
@@ -118,13 +138,83 @@ kernel void conv_add_3x3(texture2d_array<float, access::sample> inTexture [[text
outTexture.write(output, gid.xy, gid.z);
}
kernel void test_conv_add_3x3(texture2d_array<float, access::sample> inTexture [[texture(0)]],
texture2d_array<float, access::write> outTexture [[texture(1)]],
constant MetalConvParam ¶m [[buffer(0)]],
const device float4 *weights [[buffer(1)]],
const device float4 *biase [[buffer(2)]],
uint3 gid [[thread_position_in_grid]]) {
if (gid.x >= outTexture.get_width() ||
gid.y >= outTexture.get_height() ||
gid.z >= outTexture.get_array_size()) {
return;
}
if (gid.x > 0 || gid.y > 0 || gid.z > 0) { return; }
ushort2 stride = ushort2(param.strideX, param.strideY);
const ushort2 posInInput = ushort2(gid.xy) * stride + ushort2(param.offsetX, param.offsetY);
constexpr sampler sample(coord::pixel, filter::nearest, address::clamp_to_zero);
const uint kernelHXW = 9;
uint input_arr_size = inTexture.get_array_size();
uint weithTo = gid.z * kernelHXW * input_arr_size * 4;
float4 output = float4(0.0);
ushort dilation_x = param.dilationX;
ushort dilation_y = param.dilationY;
float4 input[9];
for (uint i = 0; i < input_arr_size; ++i) {
input[0] = inTexture.sample(sample, float2(posInInput.x - dilation_x, posInInput.y - dilation_y), i);
input[1] = inTexture.sample(sample, float2(posInInput.x, posInInput.y - dilation_y), i);
input[2] = inTexture.sample(sample, float2(posInInput.x + dilation_x, posInInput.y - dilation_y), i);
input[3] = inTexture.sample(sample, float2(posInInput.x - dilation_x, posInInput.y), i);
input[4] = inTexture.sample(sample, float2(posInInput.x, posInInput.y), i);
input[5] = inTexture.sample(sample, float2(posInInput.x + dilation_x, posInInput.y), i);
input[6] = inTexture.sample(sample, float2(posInInput.x - dilation_x, posInInput.y + dilation_y), i);
input[7] = inTexture.sample(sample, float2(posInInput.x, posInInput.y + dilation_y), i);
input[8] = inTexture.sample(sample, float2(posInInput.x + dilation_x, posInInput.y + dilation_y), i);
for (int j = 0; j < 9; ++j) {
float4 weight_x = weights[weithTo + 0 * kernelHXW * input_arr_size + j * input_arr_size + i];
output.x += dot(input[j], weight_x);
float4 weight_y = weights[weithTo + 1 * kernelHXW * input_arr_size + j * input_arr_size + i];
output.y += dot(input[j], weight_y);
float4 weight_z = weights[weithTo + 2 * kernelHXW * input_arr_size + j * input_arr_size + i];
output.z += dot(input[j], weight_z);
float4 weight_w = weights[weithTo + 3 * kernelHXW * input_arr_size + j * input_arr_size + i];
output.w += dot(input[j], weight_w);
}
}
// output = output + biase[gid.z];
outTexture.write(output, gid.xy, gid.z);
}
kernel void depthwise_conv_add_3x3(texture2d_array<float, access::sample> inTexture [[texture(0)]],
texture2d_array<float, access::write> outTexture [[texture(1)]],
constant MetalConvParam ¶m [[buffer(0)]],
const device float *weights [[buffer(1)]],
const device float4 *biase [[buffer(2)]],
const device float4 *new_scale [[buffer(3)]],
const device float4 *new_biase [[buffer(4)]],
uint3 gid [[thread_position_in_grid]]) {
if (gid.x >= outTexture.get_width() ||
...
...
@@ -211,8 +301,6 @@ kernel void conv_add_3x3_half(texture2d_array<half, access::sample> inTexture [[
constant MetalConvParam ¶m [[buffer(0)]],
const device half4 *weights [[buffer(1)]],
const device half4 *biase [[buffer(2)]],
const device half4 *new_scale [[buffer(3)]],
const device half4 *new_biase [[buffer(4)]],
uint3 gid [[thread_position_in_grid]]) {
if (gid.x >= outTexture.get_width() ||
...
...
@@ -268,8 +356,6 @@ kernel void depthwise_conv_add_3x3_half(texture2d_array<half, access::sample> in
constant MetalConvParam ¶m [[buffer(0)]],
const device half *weights [[buffer(1)]],
const device half4 *biase [[buffer(2)]],
const device half4 *new_scale [[buffer(3)]],
const device half4 *new_biase [[buffer(4)]],
uint3 gid [[thread_position_in_grid]]) {
if (gid.x >= outTexture.get_width() ||
...
...
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