AuroraMiddleware/VulkanMemoryAllocator
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VmaDumpVis.py: Fixed wrong visualization of custom pools that have multiple blocks.

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This commit is contained in:
Adam Sawicki 2018-08-24 14:15:06 +02:00
parent 90eb51c225
commit ee79c63d61
1 changed files with 25 additions and 22 deletions
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47
tools/VmaDumpVis/VmaDumpVis.py
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@ -48,13 +48,13 @@ data = {}
def ProcessBlock(dstBlockList, iBlockId, objBlock, bLinearAlgorithm):
iBlockSize = int(objBlock['TotalBytes'])
arrSuballocs = objBlock['Suballocations']
arrSuballocs = objBlock['Suballocations']
dstBlockObj = {'ID': iBlockId, 'Size':iBlockSize, 'Suballocations':[]}
if bLinearAlgorithm:
dstBlockObj['LinearAlgorithm'] = True
dstBlockList.append(dstBlockObj)
dstBlockObj['LinearAlgorithm'] = True
for objSuballoc in arrSuballocs:
dstBlockObj['Suballocations'].append((objSuballoc['Type'], int(objSuballoc['Size']), int(objSuballoc['Usage']) if ('Usage' in objSuballoc) else 0))
dstBlockList.append(dstBlockObj)
def GetDataForMemoryType(iMemTypeIndex):
@ -77,15 +77,18 @@ def CalcParams():
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']:
lDedicatedAllocations = dictMemType['DedicatedAllocations']
iImgSizeY += len(lDedicatedAllocations) * (IMG_MARGIN * 2 + FONT_SIZE + MAP_SIZE)
for tDedicatedAlloc in lDedicatedAllocations:
iMaxBlockSize = max(iMaxBlockSize, tDedicatedAlloc[1])
iImgSizeY += len(dictMemType['DefaultPoolBlocks']) * (IMG_MARGIN * 2 + FONT_SIZE + MAP_SIZE)
for objBlock in dictMemType['DefaultPoolBlocks']:
lDefaultPoolBlocks = dictMemType['DefaultPoolBlocks']
iImgSizeY += len(lDefaultPoolBlocks) * (IMG_MARGIN * 2 + FONT_SIZE + MAP_SIZE)
for objBlock in lDefaultPoolBlocks:
iMaxBlockSize = max(iMaxBlockSize, objBlock['Size'])
iImgSizeY += len(dictMemType['CustomPools']) * (IMG_MARGIN * 2 + FONT_SIZE + MAP_SIZE)
for listPool in dictMemType['CustomPools'].values():
for objBlock in listPool:
dCustomPools = dictMemType['CustomPools']
for lBlocks in dCustomPools.values():
iImgSizeY += len(lBlocks) * (IMG_MARGIN * 2 + FONT_SIZE + MAP_SIZE)
for objBlock in lBlocks:
iMaxBlockSize = max(iMaxBlockSize, objBlock['Size'])
fPixelsPerByte = (IMG_SIZE_X - IMG_MARGIN * 2) / float(iMaxBlockSize)
return iImgSizeY, fPixelsPerByte
@ -192,9 +195,9 @@ if 'Pools' in jsonSrc:
typeData = GetDataForMemoryType(iType)
objBlocks = objPool['Blocks']
bLinearAlgorithm = 'LinearAlgorithm' in objPool and objPool['LinearAlgorithm']
dstBlockArray = []
typeData['CustomPools'][int(sPoolId)] = dstBlockArray
for sBlockId, objBlock in objBlocks.items():
dstBlockArray = []
typeData['CustomPools'][int(sPoolId)] = dstBlockArray
ProcessBlock(dstBlockArray, int(sBlockId), objBlock, bLinearAlgorithm)
iImgSizeY, fPixelsPerByte = CalcParams()
@ -244,15 +247,15 @@ for iMemTypeIndex in sorted(data.keys()):
index = 0
for iPoolId, listPool in dictMemType['CustomPools'].items():
for objBlock in listPool:
if 'LinearAlgorithm' in objBlock:
linearAlgorithmStr = ' (linear algorithm)';
else:
linearAlgorithmStr = '';
draw.text((IMG_MARGIN, y), "Custom pool %d%s block %d" % (iPoolId, linearAlgorithmStr, objBlock['ID']), fill=COLOR_TEXT_H2, font=font)
y += FONT_SIZE + IMG_MARGIN
DrawBlock(draw, y, objBlock)
y += MAP_SIZE + IMG_MARGIN
index += 1
if 'LinearAlgorithm' in objBlock:
linearAlgorithmStr = ' (linear algorithm)';
else:
linearAlgorithmStr = '';
draw.text((IMG_MARGIN, y), "Custom pool %d%s block %d" % (iPoolId, linearAlgorithmStr, objBlock['ID']), 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)
@ -267,7 +270,7 @@ Main data structure - variable `data` - is a dictionary. Key is integer - memory
- Fixed key 'Size'. Value is int.
- Fixed key 'Suballocations'. Value is list of tuples as above.
- Fixed key 'CustomPools'. Value is dictionary.
- Key is integer pool ID. Value is list of objects, each containing dictionary with:
- Key is integer pool ID. Value is list of objects representing memory blocks, each containing dictionary with:
- Fixed key 'ID'. Value is int.
- Fixed key 'Size'. Value is int.
- Fixed key 'LinearAlgorithm'. Optional. Value is True.