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Noam Zerah
aidge_quantization
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quantization_cast
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Branches
17
DevPTQ
DevQAT
Fix_ptq
MulCompensation_Nodes
dev
leaky_relu_support
main
default
protected
mobilenetv1_support
qat
quantization_cast
real_quantization_cast
refact_removing_scaling_nodes
scaling_node_for_rescale_tensor
storing_sf_as_producer_attributes
tag_instead_of_metaop
test_LeNet
true_quantization
Tags
3
v0.1.2
v0.1.1
v0.1.0
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CHanging assert message
Fix_ptq
Fix_ptq
Small fixes in the main PTQ function: Assert to block user from using castQuantizeGraph with optimizeSign/removing pybind default value for fold_graph
Fixed attributes cloning
o
mobilenetv1_sup…
mobilenetv1_support
Merge branch 'version_update' into 'dev'
Update Pybind 2.10.4 -> 2.13.6
AddPrecisionTag function that tag each node of the graph with the correct DT
true_quantization
true_quantization
Merge branch 'quantization_cast' into 'dev'
Real quantization cast for PTQ
Last Fix
quantization_cast
quantization_cast
Fixing resetInput() with MetaOps
Adding ONNX assets
new
INtegrating the new ptq testsuite into the CI
Fixing clearGraphViewInputNode chich automatically cast all input of the GV into targetType instead of resetting every input
Correcting issue with targettype
Adding clearInput method to supress Int32 inputs after PTQ
Adding bitshift rounding option
Rebasing real quantization cast onto dev
Adding changes
first change
Merge branch 'add_matmul' into 'dev'
avoid getTensorAbsoluteMax() redefinition (+ minor changes)
minor changes
Merge branch 'dev' into 'add_matmul'
modify prepareNetwork()
handle the MatMuls in prepareNetwork()
minor change
fix the LSQ workspace cuda allocation
Merge branch 'fix_backend' into 'dev'
remove commented code
edit quantizeNormalizedNetwork() (MatMul support)
modify normalizeActivations() for MatMul support
make use of determineBackend()
integration of matmul (insert scalings + norm parameters)
enhance reorderMatMulInputs() and remove replaceMatMulWithFC()
draft the determineBackend() routine
hotfix the backend issue
wip
minor changes
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