1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166
|
# ==========================================================================
#
# Copyright NumFOCUS
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0.txt
#
# 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 itk
width = 256
height = 256
GPUImageType = itk.GPUImage[itk.F, 2]
start = itk.Index[2]()
start[0] = 0
start[1] = 0
size = itk.Size[2]()
size[0] = width
size[1] = height
region = itk.ImageRegion[2](start, size)
srcA = GPUImageType.New()
srcA.SetRegions(region)
srcA.Allocate()
srcA.FillBuffer(1.0)
srcB = GPUImageType.New()
srcB.SetRegions(region)
srcB.Allocate()
srcB.FillBuffer(3.0)
dest = GPUImageType.New()
dest.SetRegions(region)
dest.Allocate()
idx = itk.Index[2]()
idx[0] = 0
idx[1] = 0
number_of_elements = width * height
kernel_manager = itk.GPUKernelManager.New()
gpu_source = itk.GPUImageOps.GetOpenCLSource()
print(gpu_source)
kernel_manager.LoadProgramFromString(gpu_source, "#define PIXELTYPE float\n")
kernel_add = kernel_manager.CreateKernel("ImageAdd")
srcA.SetCurrentCommandQueue(0)
srcB.SetCurrentCommandQueue(0)
dest.SetCurrentCommandQueue(0)
kernel_manager.SetCurrentCommandQueue(0)
print("Current Command Queue ID : 0 ")
print("======================")
print("Kernel : Addition")
print("------------------")
print("Before GPU kernel execution")
print(f"SrcA : {srcA.GetPixel(idx)}")
print(f"SrcB : {srcB.GetPixel(idx)}")
print(f"Dest : {dest.GetPixel(idx)}")
kernel_manager.SetKernelArgWithImage(kernel_add, 0, srcA.GetGPUDataManager())
kernel_manager.SetKernelArgWithImage(kernel_add, 1, srcB.GetGPUDataManager())
kernel_manager.SetKernelArgWithImage(kernel_add, 2, dest.GetGPUDataManager())
kernel_manager.SetKernelArgWithUInt(kernel_add, 3, number_of_elements)
kernel_manager.LaunchKernel2D(kernel_add, width, height, 16, 16)
print("------------------")
print("After GPU kernel execution")
print(f"SrcA : {srcA.GetPixel(idx)}")
print(f"SrcB : {srcB.GetPixel(idx)}")
print(f"Dest : {dest.GetPixel(idx)}")
print("======================")
#
# create multiplication kernel
#
kernel_mult = kernel_manager.CreateKernel("ImageMult")
print("======================")
print("Kernel : Multiplication")
print("------------------")
print("Before GPU kernel execution")
print(f"SrcA : {srcA.GetPixel(idx)}")
print(f"SrcB : {srcB.GetPixel(idx)}")
print(f"Dest : {dest.GetPixel(idx)}")
kernel_manager.SetKernelArgWithImage(kernel_mult, 0, srcA.GetGPUDataManager())
kernel_manager.SetKernelArgWithImage(kernel_mult, 1, srcB.GetGPUDataManager())
kernel_manager.SetKernelArgWithImage(kernel_mult, 2, dest.GetGPUDataManager())
kernel_manager.SetKernelArgWithUInt(kernel_mult, 3, number_of_elements)
kernel_manager.LaunchKernel2D(kernel_mult, width, height, 16, 16)
print("------------------")
print("After GPU kernel execution")
print(f"SrcA : {srcA.GetPixel(idx)}")
print(f"SrcB : {srcB.GetPixel(idx)}")
print(f"Dest : {dest.GetPixel(idx)}")
print("======================")
#
# Change Command Queue if more than one GPU device exists
# otherwise, use same command queue
#
queueID = 0
context_manager = itk.GPUContextManager.GetInstance()
if context_manager.GetNumberOfCommandQueues() >= 2:
queueID = 1
print("More than one GPU device available, switching command queues.")
else:
print("Only one GPU device available, using same command queue.")
print(f"Current Command Queue ID : {queueID}")
#
# create subtraction kernel
#
kernel_sub = kernel_manager.CreateKernel("ImageSub")
srcA.FillBuffer(2.0)
srcB.FillBuffer(4.0)
dest.FillBuffer(1.0)
# default queue id was 0
srcA.SetCurrentCommandQueue(queueID)
srcB.SetCurrentCommandQueue(queueID)
dest.SetCurrentCommandQueue(queueID)
kernel_manager.SetCurrentCommandQueue(queueID)
print("======================")
print("Kernel : Subtraction")
print("------------------")
print("Before GPU kernel execution")
print(f"SrcA : {srcA.GetPixel(idx)}")
print(f"SrcB : {srcB.GetPixel(idx)}")
print(f"Dest : {dest.GetPixel(idx)}")
kernel_manager.SetKernelArgWithImage(kernel_sub, 0, srcA.GetGPUDataManager())
kernel_manager.SetKernelArgWithImage(kernel_sub, 1, srcB.GetGPUDataManager())
kernel_manager.SetKernelArgWithImage(kernel_sub, 2, dest.GetGPUDataManager())
kernel_manager.SetKernelArgWithUInt(kernel_sub, 3, number_of_elements)
kernel_manager.LaunchKernel2D(kernel_sub, width, height, 16, 16)
print("------------------")
print("After GPU kernel execution")
print(f"SrcA : {srcA.GetPixel(idx)}")
print(f"SrcB : {srcB.GetPixel(idx)}")
print(f"Dest : {dest.GetPixel(idx)}")
print("======================")
|