Merge branch 'v2_release'

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Adam Sawicki 2018-03-13 17:36:39 +01:00
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# 2.0.0-alpha (2017-09-12)
# 2.0.0 (2018-03-19)
A major release with many compatibility-breaking changes.
This code is work in progress and subject to changes.
Notable new features:
- Introduction of `VmaAllocation` handle that you must retrieve from allocation functions and pass to deallocation functions next to normal `VkBuffer` and `VkImage`.
- Introduction of `VmaAllocationInfo` structure that you can retrieve from `VmaAllocation` handle to access parameters of the allocation (like `VkDeviceMemory` and offset) instead of retrieving them directly from allocation functions.
- Support for persistently mapped allocations - see `VMA_MEMORY_REQUIREMENT_PERSISTENT_MAP_BIT`.
- Support for custom memory pools - `VmaPool` handle, `VmaPoolCreateInfo` structure, `vmaCreatePool` function.
- Support for reference-counted mapping and persistently mapped allocations - see `vmaMapMemory`, `VMA_ALLOCATION_CREATE_MAPPED_BIT`.
- Support for custom memory pools - see `VmaPool` handle, `VmaPoolCreateInfo` structure, `vmaCreatePool` function.
- Support for defragmentation (compaction) of allocations - see function `vmaDefragment` and related structures.
- Support for "lost allocations" - see appropriate chapter on documentation Main Page.

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@ -48,6 +48,7 @@ Additional features:
- Statistics: Obtain detailed statistics about the amount of memory used, unused, number of allocated blocks, number of allocations etc. - globally, per memory heap, and per memory type.
- Debug annotations: Associate string with name or opaque pointer to your own data with every allocation.
- JSON dump: Obtain a string in JSON format with detailed map of internal state, including list of allocations and gaps between them.
- Convert this JSON dump into a picture to visualize your memory. See [tools/VmaDumpVis](tools/VmaDumpVis/README.md).
# Prequisites

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/** \mainpage Vulkan Memory Allocator
<b>Version 2.0.0-alpha.8</b> (2018-03-05)
<b>Version 2.0.0</b> (2018-03-19)
Copyright (c) 2017-2018 Advanced Micro Devices, Inc. All rights reserved. \n
License: MIT

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# VMA Dump Vis
Vulkan Memory Allocator Dump Visualization. It is an auxiliary tool that can visualize internal state of [Vulkan Memory Allocator](../../README.md) library on a picture. It is a Python script that must be launched from command line with appropriate parameters.
## Requirements
- Python 3 installed
- [Pillow](http://python-pillow.org/) - Python Imaging Library (Fork) installed
## Usage
```
python VmaDumpVis.py -o OUTPUT_FILE INPUT_FILE
```
* `INPUT_FILE` - path to source file to be read, containing dump of internal state of the VMA library in JSON format (encoding: UTF-8), generated using `vmaBuildStatsString()` function.
* `OUTPUT_FILE` - path to destination file to be written that will contain generated image. Image format is automatically recognized based on file extension. List of supported formats can be found [here](http://pillow.readthedocs.io/en/latest/handbook/image-file-formats.html) and includes: BMP, GIF, JPEG, PNG, TGA.
You can also use typical options:
* `-h` - to see help on command line syntax
* `-v` - to see program version number
## Example output
![Example output](README_files/ExampleOutput.png "Example output")
## Legend
* ![Free space](README_files/Legend_Bkg.png "Free space") Light gray without border - a space in Vulkan device memory block unused by any allocation.
* ![Buffer](README_files/Legend_Buffer.png "Buffer") Yellow rectangle - buffer.
* ![Image Optimal](README_files/Legend_ImageOptimal.png "Image Optimal") Aqua rectangle - image with TILING_OPTIMAL.
* ![Image Linear](README_files/Legend_ImageLinear.png "Image Linear") Green rectangle - image with TILING_LINEAR.
* ![Details](README_files/Legend_Details.png "Details") Black bar or rectangle - one or more allocations of any kind too small to be visualized as filled rectangles.

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#
# Copyright (c) 2018 Advanced Micro Devices, Inc. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
import argparse
import json
from PIL import Image, ImageDraw, ImageFont
PROGRAM_VERSION = 'VMA Dump Visualization 1.0.0'
IMG_SIZE_X = 800
IMG_MARGIN = 8
FONT_SIZE = 10
MAP_SIZE = 24
COLOR_TEXT_H1 = (0, 0, 0, 255)
COLOR_TEXT_H2 = (150, 150, 150, 255)
COLOR_OUTLINE = (160, 160, 160, 255)
COLOR_OUTLINE_HARD = (0, 0, 0, 255)
COLOR_GRID_LINE = (224, 224, 224, 255)
argParser = argparse.ArgumentParser(description='Visualization of Vulkan Memory Allocator JSON dump.')
argParser.add_argument('DumpFile', type=argparse.FileType(mode='r', encoding='UTF-8'), help='Path to source JSON file with memory dump created by Vulkan Memory Allocator library')
argParser.add_argument('-v', '--version', action='version', version=PROGRAM_VERSION)
argParser.add_argument('-o', '--output', required=True, help='Path to destination image file (e.g. PNG)')
args = argParser.parse_args()
data = {}
def ProcessBlock(dstBlockList, objBlock):
iBlockSize = int(objBlock['TotalBytes'])
arrSuballocs = objBlock['Suballocations']
dstBlockObj = {'Size':iBlockSize, 'Suballocations':[]}
dstBlockList.append(dstBlockObj)
for objSuballoc in arrSuballocs:
dstBlockObj['Suballocations'].append((objSuballoc['Type'], int(objSuballoc['Size'])))
def GetDataForMemoryType(iMemTypeIndex):
global data
if iMemTypeIndex in data:
return data[iMemTypeIndex]
else:
newMemTypeData = {'DedicatedAllocations':[], 'DefaultPoolBlocks':[], 'CustomPoolBlocks':[]}
data[iMemTypeIndex] = newMemTypeData
return newMemTypeData
# Returns tuple:
# [0] image height : integer
# [1] pixels per byte : float
def CalcParams():
global data
iImgSizeY = IMG_MARGIN
iImgSizeY += FONT_SIZE + IMG_MARGIN # Grid lines legend - sizes
iMaxBlockSize = 0
for dictMemType in data.values():
iImgSizeY += IMG_MARGIN + FONT_SIZE
iImgSizeY += len(dictMemType['DedicatedAllocations']) * (IMG_MARGIN * 2 + FONT_SIZE + MAP_SIZE)
for tDedicatedAlloc in dictMemType['DedicatedAllocations']:
iMaxBlockSize = max(iMaxBlockSize, tDedicatedAlloc[1])
iImgSizeY += len(dictMemType['DefaultPoolBlocks']) * (IMG_MARGIN * 2 + FONT_SIZE + MAP_SIZE)
for objBlock in dictMemType['DefaultPoolBlocks']:
iMaxBlockSize = max(iMaxBlockSize, objBlock['Size'])
iImgSizeY += len(dictMemType['CustomPoolBlocks']) * (IMG_MARGIN * 2 + FONT_SIZE + MAP_SIZE)
for objBlock in dictMemType['CustomPoolBlocks']:
iMaxBlockSize = max(iMaxBlockSize, objBlock['Size'])
fPixelsPerByte = (IMG_SIZE_X - IMG_MARGIN * 2) / float(iMaxBlockSize)
return iImgSizeY, fPixelsPerByte
def TypeToColor(sType):
if sType == 'FREE':
return 220, 220, 220, 255
elif sType == 'BUFFER':
return 255, 255, 0, 255
elif sType == 'IMAGE_OPTIMAL':
return 128, 255, 255, 255
elif sType == 'IMAGE_LINEAR':
return 64, 255, 64, 255
assert False
return 0, 0, 0, 255
def DrawDedicatedAllocationBlock(draw, y, tDedicatedAlloc):
global fPixelsPerByte
iSizeBytes = tDedicatedAlloc[1]
iSizePixels = int(iSizeBytes * fPixelsPerByte)
draw.rectangle([IMG_MARGIN, y, IMG_MARGIN + iSizePixels, y + MAP_SIZE], fill=TypeToColor(tDedicatedAlloc[0]), outline=COLOR_OUTLINE)
def DrawBlock(draw, y, objBlock):
global fPixelsPerByte
iSizeBytes = objBlock['Size']
iSizePixels = int(iSizeBytes * fPixelsPerByte)
draw.rectangle([IMG_MARGIN, y, IMG_MARGIN + iSizePixels, y + MAP_SIZE], fill=TypeToColor('FREE'), outline=None)
iByte = 0
iX = 0
iLastHardLineX = -1
for tSuballoc in objBlock['Suballocations']:
sType = tSuballoc[0]
iByteEnd = iByte + tSuballoc[1]
iXEnd = int(iByteEnd * fPixelsPerByte)
if sType != 'FREE':
if iXEnd > iX + 1:
draw.rectangle([IMG_MARGIN + iX, y, IMG_MARGIN + iXEnd, y + MAP_SIZE], fill=TypeToColor(sType), outline=COLOR_OUTLINE)
# Hard line was been overwritten by rectangle outline: redraw it.
if iLastHardLineX == iX:
draw.line([IMG_MARGIN + iX, y, IMG_MARGIN + iX, y + MAP_SIZE], fill=COLOR_OUTLINE_HARD)
else:
draw.line([IMG_MARGIN + iX, y, IMG_MARGIN + iX, y + MAP_SIZE], fill=COLOR_OUTLINE_HARD)
iLastHardLineX = iX
iByte = iByteEnd
iX = iXEnd
def BytesToStr(iBytes):
if iBytes < 1024:
return "%d B" % iBytes
iBytes /= 1024
if iBytes < 1024:
return "%d KiB" % iBytes
iBytes /= 1024
if iBytes < 1024:
return "%d MiB" % iBytes
iBytes /= 1024
return "%d GiB" % iBytes
jsonSrc = json.load(args.DumpFile)
if 'DedicatedAllocations' in jsonSrc:
for tType in jsonSrc['DedicatedAllocations'].items():
sType = tType[0]
assert sType[:5] == 'Type '
iType = int(sType[5:])
typeData = GetDataForMemoryType(iType)
for objAlloc in tType[1]:
typeData['DedicatedAllocations'].append((objAlloc['Type'], int(objAlloc['Size'])))
if 'DefaultPools' in jsonSrc:
for tType in jsonSrc['DefaultPools'].items():
sType = tType[0]
assert sType[:5] == 'Type '
iType = int(sType[5:])
typeData = GetDataForMemoryType(iType)
for objBlock in tType[1]['Blocks']:
ProcessBlock(typeData['DefaultPoolBlocks'], objBlock)
if 'Pools' in jsonSrc:
arrPools = jsonSrc['Pools']
for objPool in arrPools:
iType = int(objPool['MemoryTypeIndex'])
typeData = GetDataForMemoryType(iType)
arrBlocks = objPool['Blocks']
for objBlock in arrBlocks:
ProcessBlock(typeData['CustomPoolBlocks'], objBlock)
iImgSizeY, fPixelsPerByte = CalcParams()
img = Image.new('RGB', (IMG_SIZE_X, iImgSizeY), 'white')
draw = ImageDraw.Draw(img)
try:
font = ImageFont.truetype('segoeuib.ttf')
except:
font = ImageFont.load_default()
y = IMG_MARGIN
# Draw grid lines
iBytesBetweenGridLines = 32
while iBytesBetweenGridLines * fPixelsPerByte < 64:
iBytesBetweenGridLines *= 2
iByte = 0
while True:
iX = int(iByte * fPixelsPerByte)
if iX > IMG_SIZE_X - 2 * IMG_MARGIN:
break
draw.line([iX + IMG_MARGIN, 0, iX + IMG_MARGIN, iImgSizeY], fill=COLOR_GRID_LINE)
if iX + 32 < IMG_SIZE_X - 2 * IMG_MARGIN:
draw.text((iX + IMG_MARGIN + FONT_SIZE/4, y), BytesToStr(iByte), fill=COLOR_TEXT_H2, font=font)
iByte += iBytesBetweenGridLines
y += FONT_SIZE + IMG_MARGIN
# Draw main content
for iMemTypeIndex in sorted(data.keys()):
dictMemType = data[iMemTypeIndex]
draw.text((IMG_MARGIN, y), "Memory type %d" % iMemTypeIndex, fill=COLOR_TEXT_H1, font=font)
y += FONT_SIZE + IMG_MARGIN
index = 0
for tDedicatedAlloc in dictMemType['DedicatedAllocations']:
draw.text((IMG_MARGIN, y), "Dedicated allocation %d" % index, fill=COLOR_TEXT_H2, font=font)
y += FONT_SIZE + IMG_MARGIN
DrawDedicatedAllocationBlock(draw, y, tDedicatedAlloc)
y += MAP_SIZE + IMG_MARGIN
index += 1
index = 0
for objBlock in dictMemType['DefaultPoolBlocks']:
draw.text((IMG_MARGIN, y), "Default pool block %d" % index, fill=COLOR_TEXT_H2, font=font)
y += FONT_SIZE + IMG_MARGIN
DrawBlock(draw, y, objBlock)
y += MAP_SIZE + IMG_MARGIN
index += 1
index = 0
for objBlock in dictMemType['CustomPoolBlocks']:
draw.text((IMG_MARGIN, y), "Custom pool block %d" % index, fill=COLOR_TEXT_H2, font=font)
y += FONT_SIZE + IMG_MARGIN
DrawBlock(draw, y, objBlock)
y += MAP_SIZE + IMG_MARGIN
index += 1
del draw
img.save(args.output)
"""
Main data structure - variable `data` - is a dictionary. Key is integer - memory type index. Value is dictionary of:
- Fixed key 'DedicatedAllocations'. Value is list of tuples, each containing:
- [0]: Type : string
- [1]: Size : integer
- Fixed key 'DefaultPoolBlocks'. Value is list of objects, each containing dictionary with:
- Fixed key 'Size'. Value is int.
- Fixed key 'Suballocations'. Value is list of tuples as above.
- Fixed key 'CustomPoolBlocks'. Value is list of objects, each containing dictionary with:
- Fixed key 'Size'. Value is int.
- Fixed key 'Suballocations'. Value is list of tuples as above.
"""