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提交 8f9c36b3 编写于 作者: D dolphin8
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metal/paddle-mobile/paddle-mobile.xcodeproj/project.pbxproj
浏览文件 @ 8f9c36b3
......@@ -7,6 +7,16 @@
objects = {
/* Begin PBXBuildFile section */
4AA1EA862146625E00D0F791 /* BilinearInterpOp.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4AA1EA852146625E00D0F791 /* BilinearInterpOp.swift */; };
4AA1EA88214662BD00D0F791 /* BilinearInterpKernel.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4AA1EA87214662BD00D0F791 /* BilinearInterpKernel.swift */; };
4AA1EA8A2146631C00D0F791 /* BilinearInterp.metal in Sources */ = {isa = PBXBuildFile; fileRef = 4AA1EA892146631C00D0F791 /* BilinearInterp.metal */; };
4AA1EA8C2146640900D0F791 /* SplitOp.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4AA1EA8B2146640900D0F791 /* SplitOp.swift */; };
4AA1EA8E2146647F00D0F791 /* SplitKernel.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4AA1EA8D2146647F00D0F791 /* SplitKernel.swift */; };
4AA1EA90214664CD00D0F791 /* Split.metal in Sources */ = {isa = PBXBuildFile; fileRef = 4AA1EA8F214664CD00D0F791 /* Split.metal */; };
4AA1EA92214665D700D0F791 /* ShapeOp.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4AA1EA91214665D700D0F791 /* ShapeOp.swift */; };
4AA1EA942146661500D0F791 /* ShapeKernel.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4AA1EA932146661500D0F791 /* ShapeKernel.swift */; };
4AA1EA962146665A00D0F791 /* FlattenKernel.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4AA1EA952146665A00D0F791 /* FlattenKernel.swift */; };
4AA1EA982146666500D0F791 /* FlattenOp.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4AA1EA972146666500D0F791 /* FlattenOp.swift */; };
4AF928772133F1DB005B6C3A /* BoxCoder.metal in Sources */ = {isa = PBXBuildFile; fileRef = 4AF928762133F1DB005B6C3A /* BoxCoder.metal */; };
4AF9287921341661005B6C3A /* Softmax.metal in Sources */ = {isa = PBXBuildFile; fileRef = 4AF9287821341661005B6C3A /* Softmax.metal */; };
4AF928822135673D005B6C3A /* Concat.metal in Sources */ = {isa = PBXBuildFile; fileRef = 4AF928812135673D005B6C3A /* Concat.metal */; };
......@@ -104,6 +114,16 @@
/* End PBXBuildFile section */
/* Begin PBXFileReference section */
4AA1EA852146625E00D0F791 /* BilinearInterpOp.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = BilinearInterpOp.swift; sourceTree = "<group>"; };
4AA1EA87214662BD00D0F791 /* BilinearInterpKernel.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = BilinearInterpKernel.swift; sourceTree = "<group>"; };
4AA1EA892146631C00D0F791 /* BilinearInterp.metal */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.metal; path = BilinearInterp.metal; sourceTree = "<group>"; };
4AA1EA8B2146640900D0F791 /* SplitOp.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = SplitOp.swift; sourceTree = "<group>"; };
4AA1EA8D2146647F00D0F791 /* SplitKernel.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = SplitKernel.swift; sourceTree = "<group>"; };
4AA1EA8F214664CD00D0F791 /* Split.metal */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.metal; path = Split.metal; sourceTree = "<group>"; };
4AA1EA91214665D700D0F791 /* ShapeOp.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = ShapeOp.swift; sourceTree = "<group>"; };
4AA1EA932146661500D0F791 /* ShapeKernel.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = ShapeKernel.swift; sourceTree = "<group>"; };
4AA1EA952146665A00D0F791 /* FlattenKernel.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = FlattenKernel.swift; sourceTree = "<group>"; };
4AA1EA972146666500D0F791 /* FlattenOp.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = FlattenOp.swift; sourceTree = "<group>"; };
4AF928762133F1DB005B6C3A /* BoxCoder.metal */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.metal; path = BoxCoder.metal; sourceTree = "<group>"; };
4AF9287821341661005B6C3A /* Softmax.metal */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.metal; path = Softmax.metal; sourceTree = "<group>"; };
4AF928812135673D005B6C3A /* Concat.metal */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.metal; path = Concat.metal; sourceTree = "<group>"; };
......@@ -324,6 +344,10 @@
FCBCCC642122FCD700D94F7E /* TransposeOp.swift */,
FCBCCC66212306B000D94F7E /* ConcatOp.swift */,
FCBCCC6A2123071700D94F7E /* BoxcoderOp.swift */,
4AA1EA8B2146640900D0F791 /* SplitOp.swift */,
4AA1EA91214665D700D0F791 /* ShapeOp.swift */,
4AA1EA972146666500D0F791 /* FlattenOp.swift */,
4AA1EA852146625E00D0F791 /* BilinearInterpOp.swift */,
FCBCCC6E2123097100D94F7E /* MulticlassNMSOp.swift */,
FCDE8A32212A917900F4A8F6 /* ConvTransposeOp.swift */,
FCEB684B212F093800D2448E /* PreluOp.swift */,
......@@ -369,6 +393,10 @@
FCBCCC622122FCC000D94F7E /* TransposeKernel.swift */,
FCBCCC68212306D300D94F7E /* ConcatKernel.swift */,
FCBCCC6C2123073A00D94F7E /* BoxcoderKernel.swift */,
4AA1EA8D2146647F00D0F791 /* SplitKernel.swift */,
4AA1EA932146661500D0F791 /* ShapeKernel.swift */,
4AA1EA952146665A00D0F791 /* FlattenKernel.swift */,
4AA1EA87214662BD00D0F791 /* BilinearInterpKernel.swift */,
FCBCCC70212309A700D94F7E /* MulticlassNMSKernel.swift */,
FCDDC6C5212F9FB800E5EF74 /* PreluKernel.swift */,
);
......@@ -411,6 +439,8 @@
FC1B16B220EC9A4F00678B91 /* Kernels.metal */,
FC4CB74820F0B954007C0C6D /* ConvKernel.metal */,
4AF928762133F1DB005B6C3A /* BoxCoder.metal */,
4AA1EA8F214664CD00D0F791 /* Split.metal */,
4AA1EA892146631C00D0F791 /* BilinearInterp.metal */,
4AF9287821341661005B6C3A /* Softmax.metal */,
FCEB6849212F00DB00D2448E /* PreluKernel.metal */,
FCDDC6C9212FDF6800E5EF74 /* BatchNormKernel.metal */,
......@@ -536,6 +566,7 @@
FC039B9F20E11CB20081E9F8 /* Tensor.swift in Sources */,
FCA67CD7213827AC00BD58AA /* ConvAddBNReluKernel.metal in Sources */,
4AF9287921341661005B6C3A /* Softmax.metal in Sources */,
4AA1EA942146661500D0F791 /* ShapeKernel.swift in Sources */,
FC0E2DBC20EE45FE009C1FAC /* ConvKernel.swift in Sources */,
FC039BAA20E11CBC0081E9F8 /* ElementwiseAddOp.swift in Sources */,
FCDE8A33212A917900F4A8F6 /* ConvTransposeOp.swift in Sources */,
......@@ -553,6 +584,7 @@
FCDDC6C6212F9FB800E5EF74 /* PreluKernel.swift in Sources */,
FCA67CD52138272900BD58AA /* ConvAddMetal.metal in Sources */,
FCBCCC5B2122F66F00D94F7E /* ConvBNReluKernel.swift in Sources */,
4AA1EA8C2146640900D0F791 /* SplitOp.swift in Sources */,
FC292C81214255BD00CF622F /* CPUCompute.mm in Sources */,
FCEBC0F420F1FDD90099DBAF /* ConvAddBatchNormReluOp.swift in Sources */,
FC0E2DC020EE461F009C1FAC /* ElementwiseAddKernel.swift in Sources */,
......@@ -561,6 +593,7 @@
FCA67CD92138287B00BD58AA /* ConvBNReluKernel.metal in Sources */,
FC60DB8920E9AAA500FF203F /* MetalExtension.swift in Sources */,
FCEBC0F620F1FE120099DBAF /* ConvAddBatchNormReluKernel.swift in Sources */,
4AA1EA8A2146631C00D0F791 /* BilinearInterp.metal in Sources */,
FCDDC6CA212FDF6800E5EF74 /* BatchNormKernel.metal in Sources */,
FC1B16B320EC9A4F00678B91 /* Kernels.metal in Sources */,
FC039BBA20E11CC20081E9F8 /* TensorDesc.swift in Sources */,
......@@ -573,13 +606,16 @@
FCBCCC592122F42700D94F7E /* ConvBNReluOp.swift in Sources */,
FC039BA920E11CBC0081E9F8 /* ConvOp.swift in Sources */,
FC9D038420E23B01000F735A /* Texture.swift in Sources */,
4AA1EA982146666500D0F791 /* FlattenOp.swift in Sources */,
FCBCCC652122FCD700D94F7E /* TransposeOp.swift in Sources */,
FCD04E6E20F31B4B0007374F /* ReshapeOp.swift in Sources */,
FC039B9820E11C9A0081E9F8 /* Errors.swift in Sources */,
FC039BBF20E11CC20081E9F8 /* Attribute.swift in Sources */,
4AA1EA8E2146647F00D0F791 /* SplitKernel.swift in Sources */,
FCD04E7420F3437E0007374F /* ConvAddKernel.swift in Sources */,
FC039BB920E11CC20081E9F8 /* Scope.swift in Sources */,
FC292C5621421B4600CF622F /* PaddleMobileGPU.m in Sources */,
4AA1EA962146665A00D0F791 /* FlattenKernel.swift in Sources */,
FCD04E6620F314C50007374F /* PoolOp.swift in Sources */,
FC039BAC20E11CBC0081E9F8 /* BatchNormOp.swift in Sources */,
FCBCCC6F2123097100D94F7E /* MulticlassNMSOp.swift in Sources */,
......@@ -590,11 +626,13 @@
FCBCCC71212309A700D94F7E /* MulticlassNMSKernel.swift in Sources */,
FCDC0FEB21099A1D00DC9EFB /* Tools.swift in Sources */,
FC0E2DBA20EE3B8D009C1FAC /* ReluKernel.swift in Sources */,
4AA1EA862146625E00D0F791 /* BilinearInterpOp.swift in Sources */,
FCBCCC6D2123073A00D94F7E /* BoxcoderKernel.swift in Sources */,
FCBCCC69212306D300D94F7E /* ConcatKernel.swift in Sources */,
FCDDC6C8212FA3CA00E5EF74 /* ConvTransposeKernel.swift in Sources */,
FC82735920E3C04200BE430A /* OpCreator.swift in Sources */,
FCA3A1652132A5EB00084FE5 /* Common.metal in Sources */,
4AA1EA92214665D700D0F791 /* ShapeOp.swift in Sources */,
FCBCCC5D2122F8A100D94F7E /* DepthwiseConvOp.swift in Sources */,
FC0E2DBE20EE460D009C1FAC /* BatchNormKernel.swift in Sources */,
FC039BAB20E11CBC0081E9F8 /* Operator.swift in Sources */,
......@@ -613,11 +651,13 @@
FC4CB74B20F12C30007C0C6D /* ProgramOptimize.swift in Sources */,
FC5163F620EF556E00636C28 /* Texture2DTo2DArrayKernel.swift in Sources */,
FC039BC020E11CC20081E9F8 /* BlockDesc.swift in Sources */,
4AA1EA90214664CD00D0F791 /* Split.metal in Sources */,
FCD04E6820F315020007374F /* PoolKernel.swift in Sources */,
FC0226582138F38D00F395E2 /* PoolKernel.metal in Sources */,
FC039BAD20E11CBC0081E9F8 /* ReluOp.swift in Sources */,
FCBCCC572122F41300D94F7E /* DwConvBNReluOp.swift in Sources */,
FC039BBE20E11CC20081E9F8 /* OpDesc.swift in Sources */,
4AA1EA88214662BD00D0F791 /* BilinearInterpKernel.swift in Sources */,
FC039B9720E11C9A0081E9F8 /* Extensions.swift in Sources */,
);
runOnlyForDeploymentPostprocessing = 0;
......
metal/paddle-mobile/paddle-mobile/Operators/Base/OpCreator.swift
浏览文件 @ 8f9c36b3
......@@ -61,7 +61,10 @@ class OpCreator<P: PrecisionType> {
gPriorBoxType : PriorBoxOp<P>.creat,
gPreluType : PreluOp<P>.creat,
gConv2dTransposeType : ConvTransposeOp<P>.creat,
gResizeBilinearType : ResizeBilinearOp<P>.creat]
gBilinearInterpType : BilinearInterpOp<P>.creat,
gSplit : SplitOp<P>.creat,
gShape : ShapeOp<P>.creat,
gFlatten : FlattenOp<P>.creat]
private init(){}
}
metal/paddle-mobile/paddle-mobile/Operators/Base/Operator.swift
浏览文件 @ 8f9c36b3
......@@ -139,8 +139,10 @@ let gConvBnReluType = "conv_bn_relu"
let gDwConvBnReluType = "depth_conv_bn_relu"
let gPreluType = "prelu"
let gConv2dTransposeType = "conv2d_transpose"
let gResizeBilinearType = "resize_bilinear"
let gBilinearInterpType = "bilinear_interp"
let gSplit = "split"
let gShape = "shape"
let gFlatten = "flatten"
let opInfos = [gConvType : (inputs: ["Input"], outputs: ["Output"]),
gBatchNormType : (inputs: ["X"], outputs: ["Y"]),
......@@ -163,5 +165,8 @@ let opInfos = [gConvType : (inputs: ["Input"], outputs: ["Out
gPriorBoxType : (inputs: ["Input", "Image"], outputs: ["Boxes", "Variances"]),
gPreluType : (inputs: ["X"], outputs: ["Out"]),
gConv2dTransposeType : (inputs: ["Input"], outputs: ["Output"]),
gResizeBilinearType : (inputs: ["X"], outputs: ["Out"])
gBilinearInterpType : (inputs: ["X"], outputs: ["Out"]),
gSplit : (inputs: ["Input"], outputs: ["Out"]),
gShape : (inputs: ["Input"], outputs: ["Out"]),
gFlatten : (inputs: ["Input"], outputs: ["Out"])
]
metal/paddle-mobile/paddle-mobile/Operators/BatchNormOp.swift
浏览文件 @ 8f9c36b3
......@@ -26,7 +26,6 @@ class BatchNormParam<P: PrecisionType>: OpParam {
inputVariance = try BatchNormParam.inputVariance(inputs: opDesc.paraInputs, from: inScope)
epsilon = try BatchNormParam.getAttr(key: "epsilon", attrs: opDesc.attrs)
momentum = try BatchNormParam.getAttr(key: "momentum", attrs: opDesc.attrs)
is_test = try BatchNormParam.getAttr(key: "is_test", attrs: opDesc.attrs)
} catch let error {
throw error
}
......@@ -39,7 +38,6 @@ class BatchNormParam<P: PrecisionType>: OpParam {
let inputVariance: Tensor<ParamPrecisionType>
let epsilon: Float
let momentum: Float
let is_test: Bool
}
class BatchNormOp<P: PrecisionType>: Operator<BatchNormKernel<P>, BatchNormParam<P>>, Runable, Creator, InferShaperable{
......
metal/paddle-mobile/paddle-mobile/Operators/BilinearInterpOp.swift 0 → 100644
浏览文件 @ 8f9c36b3
///* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed 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 Foundation
class BilinearInterpParam<P: PrecisionType>: OpParam {
typealias ParamPrecisionType = P
required init(opDesc: OpDesc, inScope: Scope) throws {
do {
input = try BilinearInterpParam.inputX(inputs: opDesc.inputs, from: inScope)
// if (input.transpose != [0, 2, 3, 1]) || (input.tensorDim.cout() != 4) {
// fatalError()
// }
output = try BilinearInterpParam.outputOut(outputs: opDesc.outputs, from: inScope)
out_h = try BilinearInterpParam.getAttr(key: "out_h", attrs: opDesc.attrs)
out_w = try BilinearInterpParam.getAttr(key: "out_w", attrs: opDesc.attrs)
} catch let error {
throw error
}
}
let input: Texture<P>
var output: Texture<P>
let out_h: Int
let out_w: Int
}
class BilinearInterpOp<P: PrecisionType>: Operator<BilinearInterpKernel<P>, BilinearInterpParam<P>>, Runable, Creator, InferShaperable{
typealias OpType = BilinearInterpOp<P>
func inferShape() {
// para.output.dim = para.input.dim
}
func runImpl(device: MTLDevice, buffer: MTLCommandBuffer) throws {
do {
try kernel.compute(commandBuffer: buffer, param: para)
} catch let error {
throw error
}
}
func delogOutput() {
print(" \(type) output: ")
}
}
metal/paddle-mobile/paddle-mobile/Operators/FlattenOp.swift 0 → 100644
浏览文件 @ 8f9c36b3
///* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed 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 Foundation
class FlattenParam<P: PrecisionType>: OpParam {
typealias ParamPrecisionType = P
required init(opDesc: OpDesc, inScope: Scope) throws {
do {
output = try FlattenParam.output(outputs: opDesc.outputs, from: inScope)
} catch let error {
throw error
}
}
var output: Texture<P>
}
class FlattenOp<P: PrecisionType>: Operator<FlattenKernel<P>, FlattenParam<P>>, Runable, Creator, InferShaperable{
typealias OpType = SplitOp<P>
func inferShape() {
// para.output.dim = para.input.dim
}
func runImpl(device: MTLDevice, buffer: MTLCommandBuffer) throws {
do {
try kernel.compute(commandBuffer: buffer, param: para)
} catch let error {
throw error
}
}
func delogOutput() {
print(" \(type) output: ")
}
}
metal/paddle-mobile/paddle-mobile/Operators/Kernels/BatchNormKernel.swift
浏览文件 @ 8f9c36b3
......@@ -15,20 +15,20 @@
import Foundation
class BatchNormKernel<P: PrecisionType>: Kernel, Computable {
var newScale: MTLBuffer
var newBias: MTLBuffer
// var newScale: MTLBuffer
// var newBias: MTLBuffer
//
required init(device: MTLDevice, param: BatchNormParam<P>) {
guard let newScale = device.makeBuffer(length: param.inputScale.buffer.length) else {
fatalError()
}
guard let newBias = device.makeBuffer(length: param.inputBias.buffer.length) else {
fatalError()
}
self.newScale = newScale
self.newBias = newBias
// guard let newScale = device.makeBuffer(length: param.inputScale.buffer.length) else {
// fatalError()
// }
//
// guard let newBias = device.makeBuffer(length: param.inputBias.buffer.length) else {
// fatalError()
// }
// self.newScale = newScale
// self.newBias = newBias
//
if computePrecision == .Float32 {
super.init(device: device, inFunctionName: "batchnorm")
} else if computePrecision == .Float16 {
......@@ -36,37 +36,37 @@ class BatchNormKernel<P: PrecisionType>: Kernel, Computable {
} else {
fatalError()
}
let varianceBuffer : MTLBuffer = param.inputVariance.buffer
var invStd: [Float32] = Array(repeating: 0, count: varianceBuffer.length)
let varianceContents = varianceBuffer.contents().assumingMemoryBound(to: P.self)
for i in 0..<(varianceBuffer.length / MemoryLayout<P>.stride) {
invStd[i] = 1 / (Float32(varianceContents[i]) + param.epsilon).squareRoot()
}
let newScaleContents = newScale.contents().assumingMemoryBound(to: P.self)
let newBiasContents = newBias.contents().assumingMemoryBound(to: P.self)
let scale : MTLBuffer = param.inputScale.buffer
let scaleContents = scale.contents().assumingMemoryBound(to: P.self)
let bias : MTLBuffer = param.inputBias.buffer
let biasContents = bias.contents().assumingMemoryBound(to: P.self)
let meanContents = param.inputMean.buffer.contents().assumingMemoryBound(to: P.self)
for i in 0..<(newScale.length / MemoryLayout<P>.stride) {
newScaleContents[i] = P(invStd[i] * Float32(scaleContents[i]))
newBiasContents[i] = P(Float32(biasContents[i]) - Float32(meanContents[i]) * invStd[i] * Float32(scaleContents[i]))
}
//
// let varianceBuffer : MTLBuffer = param.inputVariance.buffer
//
// var invStd: [Float32] = Array(repeating: 0, count: varianceBuffer.length)
// let varianceContents = varianceBuffer.contents().assumingMemoryBound(to: P.self)
// for i in 0..<(varianceBuffer.length / MemoryLayout<P>.stride) {
// invStd[i] = 1 / (Float32(varianceContents[i]) + param.epsilon).squareRoot()
// }
//
// let newScaleContents = newScale.contents().assumingMemoryBound(to: P.self)
// let newBiasContents = newBias.contents().assumingMemoryBound(to: P.self)
// let scale : MTLBuffer = param.inputScale.buffer
// let scaleContents = scale.contents().assumingMemoryBound(to: P.self)
// let bias : MTLBuffer = param.inputBias.buffer
// let biasContents = bias.contents().assumingMemoryBound(to: P.self)
// let meanContents = param.inputMean.buffer.contents().assumingMemoryBound(to: P.self)
//
// for i in 0..<(newScale.length / MemoryLayout<P>.stride) {
// newScaleContents[i] = P(invStd[i] * Float32(scaleContents[i]))
// newBiasContents[i] = P(Float32(biasContents[i]) - Float32(meanContents[i]) * invStd[i] * Float32(scaleContents[i]))
// }
}
func compute(commandBuffer: MTLCommandBuffer, param: BatchNormParam<P>) throws {
guard let encoder = commandBuffer.makeComputeCommandEncoder() else {
throw PaddleMobileError.predictError(message: " encoder is nil")
}
encoder.setTexture(param.input.metalTexture, index: 0)
encoder.setTexture(param.output.metalTexture, index: 1)
encoder.setBuffer(newScale, offset: 0, index: 0)
encoder.setBuffer(newBias, offset: 0, index: 1)
// encoder.setTexture(param.input.metalTexture, index: 0)
// encoder.setTexture(param.output.metalTexture, index: 1)
// encoder.setBuffer(newScale, offset: 0, index: 0)
// encoder.setBuffer(newBias, offset: 0, index: 1)
encoder.dispatch(computePipline: pipline, outTexture: param.output.metalTexture)
encoder.endEncoding()
}
......
metal/paddle-mobile/paddle-mobile/Operators/Kernels/BilinearInterpKernel.swift 0 → 100644
浏览文件 @ 8f9c36b3
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed 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 Foundation
struct BilinearInterpMetalParam {
var ratio_h: Float32
var ratio_w: Float32
}
class BilinearInterpKernel<P: PrecisionType>: Kernel, Computable{
func compute(commandBuffer: MTLCommandBuffer, param: BilinearInterpParam<P>) throws {
guard let encoder = commandBuffer.makeComputeCommandEncoder() else {
throw PaddleMobileError.predictError(message: " encode is nil")
}
encoder.setTexture(param.input.metalTexture, index: 0)
encoder.setTexture(param.output.metalTexture, index: 1)
let ratio_h: Float32 = Float32(param.input.tensorDim.dims[2]) / Float32(param.output.tensorDim.dims[2])
let ratio_w: Float32 = Float32(param.input.tensorDim.dims[3]) / Float32(param.output.tensorDim.dims[3])
var p = BilinearInterpMetalParam.init(ratio_h: ratio_h, ratio_w: ratio_w)
encoder.setBytes(&p, length: MemoryLayout<ConcatMetalParam>.size, index: 0)
encoder.dispatch(computePipline: pipline, outTexture: param.output.metalTexture)
encoder.endEncoding()
}
required init(device: MTLDevice, param: BilinearInterpParam<P>) {
param.output.initTexture(device: device, inTranspose: param.input.transpose, computePrecision: computePrecision)
if computePrecision == .Float32 {
super.init(device: device, inFunctionName: "bilinear_interp")
} else if computePrecision == .Float16 {
super.init(device: device, inFunctionName: "bilinear_interp_half")
} else {
fatalError()
}
}
}
metal/paddle-mobile/paddle-mobile/Operators/Kernels/FlattenKernel.swift 0 → 100644
浏览文件 @ 8f9c36b3
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed 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 Foundation
struct FlattenMetalParam {
}
class FlattenKernel<P: PrecisionType>: Kernel, Computable{
func compute(commandBuffer: MTLCommandBuffer, param: FlattenParam<P>) throws {
guard let encoder = commandBuffer.makeComputeCommandEncoder() else {
throw PaddleMobileError.predictError(message: " encode is nil")
}
encoder.setTexture(param.output.metalTexture, index: 0)
encoder.endEncoding()
}
required init(device: MTLDevice, param: FlattenParam<P>) {
param.output.initTexture(device: device, computePrecision: computePrecision)
if computePrecision == .Float32 {
super.init(device: device, inFunctionName: "split")
} else if computePrecision == .Float16 {
super.init(device: device, inFunctionName: "split_half")
} else {
fatalError()
}
}
}
metal/paddle-mobile/paddle-mobile/Operators/Kernels/ShapeKernel.swift 0 → 100644
浏览文件 @ 8f9c36b3
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed 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 Foundation
struct ShapeMetalParam {
}
class ShapeKernel<P: PrecisionType>: Kernel, Computable{
func compute(commandBuffer: MTLCommandBuffer, param: ShapeParam<P>) throws {
guard let encoder = commandBuffer.makeComputeCommandEncoder() else {
throw PaddleMobileError.predictError(message: " encode is nil")
}
encoder.setTexture(param.output.metalTexture, index: 0)
encoder.endEncoding()
}
required init(device: MTLDevice, param: ShapeParam<P>) {
param.output.initTexture(device: device, computePrecision: computePrecision)
if computePrecision == .Float32 {
super.init(device: device, inFunctionName: "split")
} else if computePrecision == .Float16 {
super.init(device: device, inFunctionName: "split_half")
} else {
fatalError()
}
}
}
metal/paddle-mobile/paddle-mobile/Operators/Kernels/SplitKernel.swift 0 → 100644
浏览文件 @ 8f9c36b3
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed 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 Foundation
struct SplitMetalParam {
}
class SplitKernel<P: PrecisionType>: Kernel, Computable{
func compute(commandBuffer: MTLCommandBuffer, param: SplitParam<P>) throws {
guard let encoder = commandBuffer.makeComputeCommandEncoder() else {
throw PaddleMobileError.predictError(message: " encode is nil")
}
encoder.setTexture(param.output.metalTexture, index: 0)
encoder.endEncoding()
}
required init(device: MTLDevice, param: SplitParam<P>) {
param.output.initTexture(device: device, computePrecision: computePrecision)
if computePrecision == .Float32 {
super.init(device: device, inFunctionName: "split")
} else if computePrecision == .Float16 {
super.init(device: device, inFunctionName: "split_half")
} else {
fatalError()
}
}
}
metal/paddle-mobile/paddle-mobile/Operators/Kernels/metal/BilinearInterp.metal 0 → 100644
浏览文件 @ 8f9c36b3
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed 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. */
#include <metal_stdlib>
using namespace metal;
struct bilinear_interp_param {
// int32_t out_h;
// int32_t out_w;
float ratio_h;
float ratio_w;
};
kernel void bilinear_interp(texture2d_array<float, access::read> input [[texture(0)]],
texture2d_array<float, access::write> output [[texture(2)]],
constant bilinear_interp_param & pm [[buffer(0)]],
uint3 gid [[thread_position_in_grid]]) {
float4 r;
if ((input.get_width() == output.get_width()) && (input.get_height() == output.get_height())) {
r = input.read(gid.xy, gid.z);
} else {
float w = gid.x * pm.ratio_w;
float h = gid.y * pm.ratio_h;
uint w0 = w, h0 = h;
uint w1 = w0 + 1, h1 = h0 + 1;
float w1lambda = w - w0, h1lambda = h - h0;
float w2lambda = 1.0 - w1lambda, h2lambda = 1.0 - h1lambda;
if (w1 >= input.get_width()) w1 = w0;
if (h1 >= input.get_height()) h1 = h0;
float4 r0 = input.read(uint2(w0, h0), gid.z);
float4 r1 = input.read(uint2(w1, h0), gid.z);
float4 r2 = input.read(uint2(w0, h1), gid.z);
float4 r3 = input.read(uint2(w1, h1), gid.z);
r = h2lambda * (w2lambda * r0 + w1lambda * r1) + h1lambda * (w2lambda * r2 + w1lambda * r3);
}
output.write(r, gid.xy, gid.z);
}
kernel void bilinear_interp_half(texture2d_array<half, access::read> input [[texture(0)]],
texture2d_array<half, access::write> output [[texture(2)]],
constant bilinear_interp_param & pm [[buffer(0)]],
uint3 gid [[thread_position_in_grid]]) {
half4 r;
if ((input.get_width() == output.get_width()) && (input.get_height() == output.get_height())) {
r = input.read(gid.xy, gid.z);
} else {
half w = gid.x * pm.ratio_w;
half h = gid.y * pm.ratio_h;
uint w0 = w, h0 = h;
uint w1 = w0 + 1, h1 = h0 + 1;
half w1lambda = w - w0, h1lambda = h - h0;
half w2lambda = 1.0 - w1lambda, h2lambda = 1.0 - h1lambda;
if (w1 >= input.get_width()) w1 = w0;
if (h1 >= input.get_height()) h1 = h0;
half4 r0 = input.read(uint2(w0, h0), gid.z);
half4 r1 = input.read(uint2(w1, h0), gid.z);
half4 r2 = input.read(uint2(w0, h1), gid.z);
half4 r3 = input.read(uint2(w1, h1), gid.z);
r = h2lambda * (w2lambda * r0 + w1lambda * r1) + h1lambda * (w2lambda * r2 + w1lambda * r3);
}
output.write(r, gid.xy, gid.z);
output.write(r, gid.xy, gid.z);
}
metal/paddle-mobile/paddle-mobile/Operators/Kernels/metal/ResizeBilinear.metal
浏览文件 @ 8f9c36b3
......@@ -28,7 +28,7 @@ kernel void resize_bilinear(texture2d_array<float, access::read> input [[texture
uint3 gid [[thread_position_in_grid]]) {
float4 r;
if ((input.get_width() == output.get_width()) && (input.get_height() == output.get_height())) {
r = input.read(gid.xy, gid.z)
r = input.read(gid.xy, gid.z);
} else {
float w = gid.x * pm.ratio_w;
float h = gid.y * pm.ratio_h;
......@@ -42,7 +42,7 @@ kernel void resize_bilinear(texture2d_array<float, access::read> input [[texture
float4 r1 = input.read(uint2(w1, h0), gid.z);
float4 r2 = input.read(uint2(w0, h1), gid.z);
float4 r3 = input.read(uint2(w1, h1), gid.z);
r = h2lambda * (w2lambda * r0 + w1lambda * r1) + h1lambda * (w2lambda * r3 + w1lambda * r4);
r = h2lambda * (w2lambda * r0 + w1lambda * r1) + h1lambda * (w2lambda * r2 + w1lambda * r3);
}
output.write(r, gid.xy, gid.z);
}
......@@ -54,7 +54,7 @@ kernel void resize_bilinear_half(texture2d_array<half, access::read> input [[tex
half4 r;
if ((input.get_width() == output.get_width()) && (input.get_height() == output.get_height())) {
r = input.read(gid.xy, gid.z)
r = input.read(gid.xy, gid.z);
} else {
half w = gid.x * pm.ratio_w;
half h = gid.y * pm.ratio_h;
......@@ -68,7 +68,7 @@ kernel void resize_bilinear_half(texture2d_array<half, access::read> input [[tex
half4 r1 = input.read(uint2(w1, h0), gid.z);
half4 r2 = input.read(uint2(w0, h1), gid.z);
half4 r3 = input.read(uint2(w1, h1), gid.z);
r = h2lambda * (w2lambda * r0 + w1lambda * r1) + h1lambda * (w2lambda * r3 + w1lambda * r4);
r = h2lambda * (w2lambda * r0 + w1lambda * r1) + h1lambda * (w2lambda * r2 + w1lambda * r3);
}
output.write(r, gid.xy, gid.z);
output.write(r, gid.xy, gid.z);
......
metal/paddle-mobile/paddle-mobile/Operators/Kernels/metal/Split.metal 0 → 100644
浏览文件 @ 8f9c36b3
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed 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. */
#include <metal_stdlib>
using namespace metal;
kernel void split(texture2d_array<float, access::write> output[[texture(0)]],
uint3 gid [[thread_position_in_grid]]) {
float4 r;
output.write(r, gid.xy, gid.z);
}
kernel void split_half(texture2d_array<half, access::write> output[[texture(0)]],
uint3 gid [[thread_position_in_grid]]) {
float4 r;
output.write(half4(r), gid.xy, gid.z);
}
metal/paddle-mobile/paddle-mobile/Operators/ReshapeOp.swift
浏览文件 @ 8f9c36b3
......@@ -44,14 +44,14 @@ class ReshapeParam<P: PrecisionType>: OpParam {
output.padToFourDim = Dim.init(inDim: dim)
output.dim = output.padToFourDim
inplace = try ReshapeParam.getAttr(key: "inplace", attrs: opDesc.attrs)
// inplace = try ReshapeParam.getAttr(key: "inplace", attrs: opDesc.attrs)
} catch let error {
throw error
}
}
let input: Texture<P>
let shape: [Int32]
let inplace: Bool
// let inplace: Bool
var output: Texture<P>
}
......
metal/paddle-mobile/paddle-mobile/Operators/ResizeBilinearOp.swift
浏览文件 @ 8f9c36b3
......@@ -19,9 +19,9 @@ class ResizeBilinearParam<P: PrecisionType>: OpParam {
required init(opDesc: OpDesc, inScope: Scope) throws {
do {
input = try ResizeBilinearParam.inputX(inputs: opDesc.inputs, from: inScope)
if (input.transpose != [0, 2, 3, 1]) || (input.tensorDim.cout() != 4) {
fatalError()
}
// if (input.transpose != [0, 2, 3, 1]) || (input.tensorDim.cout() != 4) {
// fatalError()
// }
output = try ResizeBilinearParam.outputOut(outputs: opDesc.outputs, from: inScope)
out_h = try ResizeBilinearParam.getAttr(key: "out_h", attrs: opDesc.attrs)
out_w = try ResizeBilinearParam.getAttr(key: "out_w", attrs: opDesc.attrs)
......
metal/paddle-mobile/paddle-mobile/Operators/ShapeOp.swift 0 → 100644
浏览文件 @ 8f9c36b3
///* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed 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 Foundation
class ShapeParam<P: PrecisionType>: OpParam {
typealias ParamPrecisionType = P
required init(opDesc: OpDesc, inScope: Scope) throws {
do {
output = try ShapeParam.output(outputs: opDesc.outputs, from: inScope)
} catch let error {
throw error
}
}
var output: Texture<P>
}
class ShapeOp<P: PrecisionType>: Operator<SplitKernel<P>, SplitParam<P>>, Runable, Creator, InferShaperable{
typealias OpType = SplitOp<P>
func inferShape() {
// para.output.dim = para.input.dim
}
func runImpl(device: MTLDevice, buffer: MTLCommandBuffer) throws {
do {
try kernel.compute(commandBuffer: buffer, param: para)
} catch let error {
throw error
}
}
func delogOutput() {
print(" \(type) output: ")
}
}
metal/paddle-mobile/paddle-mobile/Operators/SplitOp.swift 0 → 100644
浏览文件 @ 8f9c36b3
///* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed 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 Foundation
class SplitParam<P: PrecisionType>: OpParam {
typealias ParamPrecisionType = P
required init(opDesc: OpDesc, inScope: Scope) throws {
do {
output = try SplitParam.output(outputs: opDesc.outputs, from: inScope)
} catch let error {
throw error
}
}
var output: Texture<P>
}
class SplitOp<P: PrecisionType>: Operator<SplitKernel<P>, SplitParam<P>>, Runable, Creator, InferShaperable{
typealias OpType = SplitOp<P>
func inferShape() {
// para.output.dim = para.input.dim
}
func runImpl(device: MTLDevice, buffer: MTLCommandBuffer) throws {
do {
try kernel.compute(commandBuffer: buffer, param: para)
} catch let error {
throw error
}
}
func delogOutput() {
print(" \(type) output: ")
}
}
metal/paddle-mobile/paddle-mobile/framework/Texture.swift
浏览文件 @ 8f9c36b3
......@@ -38,6 +38,38 @@ extension InputTexture {
}
}
/*
4 维 tensor 存储 texture，要考虑 transpose
transpose 之后的维度是 [a, b, c, d]，对应的texture_2darray
.width = c
.height = b
.len = a * d + 3 / 4
低于 4 维的 tensor，transpose 必须为 [0, 1, 2, 3] 既不考虑 transpose
// TODO transpose 对于低维 tensor 的扩展原则。。。
// [a, b] -> [1, 1, a, b] transpose 必须为 [0, 1, x, x]
// [a] -> [1, 1, 1, a] transpose 必须为 [0, 1, 2, 3]
// [a, b, c] -> [1, a, b, c] tranpose 必须为 [0, x, x, x]
3 维 tensor [a, b, c] 对应的 texture_2darray,
.width = c
.height = b
.len = a + 3 / 4
2 维 tensor [a, b] 对应的 texture_2darray
.width = b + 3 / 4
.height = a
.len = 1
1 维 tensor [a] 对应的 texture_2darray
.width = a + 3 / 4
.height = 1
.len = 1
*/
public class Texture<P: PrecisionType>: Tensorial {
var dim: Dim
public var tensorDim: Dim
......@@ -62,6 +94,11 @@ public class Texture<P: PrecisionType>: Tensorial {
func initTexture(device: MTLDevice, inTranspose: [Int] = [0, 1, 2, 3], computePrecision: ComputePrecision = .Float16) {
transpose = inTranspose
for i in 0..<(4 - tensorDim.cout()) {
if i != inTranspose[i] {
fatalError()
}
}
let newDim = transpose.map { padToFourDim[$0] }
let newLayout = transpose.map { layout.layoutWithDim[$0] }
......@@ -70,14 +107,25 @@ public class Texture<P: PrecisionType>: Tensorial {
dim = Dim.init(inDim: newDim)
let tmpTextureDes = MTLTextureDescriptor.init()
tmpTextureDes.textureType = .type2DArray
tmpTextureDes.depth = 1
switch tensorDim.cout() {
case 4:
tmpTextureDes.width = newDim[2]
// layout.W ?? 1
tmpTextureDes.height = newDim[1]
// layout.H ?? 1
tmpTextureDes.depth = 1
tmpTextureDes.arrayLength = ((newDim[0]) * (newDim[3]) + 3) / 4
tmpTextureDes.textureType = .type2DArray
case 3:
tmpTextureDes.width = newDim[3]
tmpTextureDes.height = newDim[2]
tmpTextureDes.arrayLength = (newDim[1] + 3) / 4
case 2, 1:
tmpTextureDes.width = (newDim[3] + 3) / 4
tmpTextureDes.height = newDim[2]
tmpTextureDes.arrayLength = 1
default:
fatalError("unreachable")
}
if computePrecision == .Float16 {
tmpTextureDes.pixelFormat = .rgba16Float
......
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