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Added 'LinearAlgorithm' member to JSON dump format and its usage in VmaDumpVis.py.

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This commit is contained in:
Adam Sawicki 2018-08-23 13:20:22 +02:00
parent 35e9aca80f
commit 477b22ebf1
2 changed files with 22 additions and 9 deletions
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12
src/vk_mem_alloc.h
View File

@ -4927,7 +4927,6 @@ public:
~VmaPool_T();
uint32_t GetId() const { return m_Id; }
uint32_t GetFlags() const { return m_Flags; }
void SetId(uint32_t id) { VMA_ASSERT(m_Id == 0); m_Id = id; }
#if VMA_STATS_STRING_ENABLED
@ -4936,7 +4935,6 @@ public:
private:
uint32_t m_Id;
uint32_t m_Flags;
};
class VmaDefragmentator
@ -9205,8 +9203,7 @@ VmaPool_T::VmaPool_T(
createInfo.frameInUseCount,
true, // isCustomPool
(createInfo.flags & VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT) != 0), // linearAlgorithm
m_Id(0),
m_Flags(createInfo.flags)
m_Id(0)
{
}
@ -9798,6 +9795,12 @@ void VmaBlockVector::PrintDetailedMap(class VmaJsonWriter& json)
json.WriteString("FrameInUseCount");
json.WriteNumber(m_FrameInUseCount);
}
if(m_LinearAlgorithm)
{
json.WriteString("LinearAlgorithm");
json.WriteBool(true);
}
}
else
{
@ -12165,6 +12168,7 @@ void VmaAllocator_T::PrintDetailedMap(VmaJsonWriter& json)
}
}
// Custom pools
{
VmaMutexLock lock(m_PoolsMutex, m_UseMutex);
const size_t poolCount = m_Pools.size();

19
tools/VmaDumpVis/VmaDumpVis.py
View File

@ -46,10 +46,12 @@ args = argParser.parse_args()
data = {}
def ProcessBlock(dstBlockList, iBlockId, objBlock):
def ProcessBlock(dstBlockList, iBlockId, objBlock, bLinearAlgorithm):
iBlockSize = int(objBlock['TotalBytes'])
arrSuballocs = objBlock['Suballocations']
dstBlockObj = {'ID': iBlockId, 'Size':iBlockSize, 'Suballocations':[]}
if bLinearAlgorithm:
dstBlockObj['LinearAlgorithm'] = True
dstBlockList.append(dstBlockObj)
for objSuballoc in arrSuballocs:
dstBlockObj['Suballocations'].append((objSuballoc['Type'], int(objSuballoc['Size']), int(objSuballoc['Usage']) if ('Usage' in objSuballoc) else 0))
@ -182,16 +184,18 @@ if 'DefaultPools' in jsonSrc:
iType = int(sType[5:])
typeData = GetDataForMemoryType(iType)
for sBlockId, objBlock in tType[1]['Blocks'].items():
ProcessBlock(typeData['DefaultPoolBlocks'], int(sBlockId), objBlock)
ProcessBlock(typeData['DefaultPoolBlocks'], int(sBlockId), objBlock, False)
if 'Pools' in jsonSrc:
objPools = jsonSrc['Pools']
for sPoolId, objPool in objPools.items():
iType = int(objPool['MemoryTypeIndex'])
typeData = GetDataForMemoryType(iType)
objBlocks = objPool['Blocks']
bLinearAlgorithm = 'LinearAlgorithm' in objPool and objPool['LinearAlgorithm']
for sBlockId, objBlock in objBlocks.items():
typeData['CustomPools'][int(sPoolId)] = []
ProcessBlock(typeData['CustomPools'][int(sPoolId)], int(sBlockId), objBlock)
dstBlockArray = []
typeData['CustomPools'][int(sPoolId)] = dstBlockArray
ProcessBlock(dstBlockArray, int(sBlockId), objBlock, bLinearAlgorithm)
iImgSizeY, fPixelsPerByte = CalcParams()
@ -240,7 +244,11 @@ for iMemTypeIndex in sorted(data.keys()):
index = 0
for iPoolId, listPool in dictMemType['CustomPools'].items():
for objBlock in listPool:
draw.text((IMG_MARGIN, y), "Custom pool %d block %d" % (iPoolId, objBlock['ID']), fill=COLOR_TEXT_H2, font=font)
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
@ -262,5 +270,6 @@ Main data structure - variable `data` - is a dictionary. Key is integer - memory
- Key is integer pool ID. Value is list of objects, each containing dictionary with:
- Fixed key 'ID'. Value is int.
- Fixed key 'Size'. Value is int.
- Fixed key 'LinearAlgorithm'. Optional. Value is True.
- Fixed key 'Suballocations'. Value is list of tuples as above.
"""