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[DML EP] Fix external data unpacking #19415

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merged 2 commits into from
Feb 7, 2024
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[DML EP] Fix external data unpacking #19415

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2f88dee
[DML EP] Fix external data unpacking
PatriceVignola Feb 5, 2024
721e473
Avoid neddlessly copying large tensors
PatriceVignola Feb 6, 2024
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15 changes: 10 additions & 5 deletions onnxruntime/core/providers/dml/DmlExecutionProvider/src/GraphDescBuilder.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -344,20 +344,25 @@ namespace Dml::GraphDescBuilder
dmlFusedNodeInputIndex < isConstGpuGraphInputCount &&
isConstGpuGraphInput[dmlFusedNodeInputIndex])
{
// This is a highly inefficient approach to generating constant nodes. It duplicates constant data
// across the graph input as well as every consumer's unique constant node. However it is currently
// This is a highly inefficient approach to generating constant nodes. It duplicates constant data
// across the graph input as well as every consumer's unique constant node. However it is currently
// only used for small inputs.
uint32_t c_maxConstNodeDataSize = 8;

ComPtr<OnnxTensorWrapper> constantInput = constantCpuGraphInputGetter(arg->Name());

auto& operatorGraphInputNode = graphNodeCreateInfo.nodesAsOperatorDesc[operatorGraphInputEdge.ToNodeIndex];
std::vector<DmlBufferTensorDesc*> toNodeInputTensorDescs = operatorGraphInputNode->GetInputTensors();
DmlBufferTensorDesc* tensorDesc = toNodeInputTensorDescs[operatorGraphInputEdge.ToNodeInputIndex];
ComPtr<OnnxTensorWrapper> constantInput;

if (constantInput && tensorDesc->totalTensorSizeInBytes < c_maxConstNodeDataSize)
if (tensorDesc->totalTensorSizeInBytes < c_maxConstNodeDataSize)
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Shouldn't this be <=? I presume c_maxConstNodeDataSize is inclusive.

{
// The tensor description's size should be no larger than the constant input unless it was rounded to
constantInput = constantCpuGraphInputGetter(arg->Name());
}

if (constantInput)
{
// The tensor description's size should be no larger than the constant input unless it was rounded to
// the required alignment.
assert(((constantInput->GetTensorByteSize() + 3) & ~3) >= tensorDesc->totalTensorSizeInBytes);
size_t minimumConstantSize = std::min(constantInput->GetTensorByteSize(), gsl::narrow_cast<size_t>(tensorDesc->totalTensorSizeInBytes));
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