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GNNE-1714:add norm op name #1127

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merged 3 commits into from
Nov 15, 2023
Merged

GNNE-1714:add norm op name #1127

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e71c210
add norm op name
Nov 15, 2023
65e883f
opt realization
Nov 15, 2023
7cbd765
Merge branch 'master' into fix/add_norm_op_name
FusionBolt Nov 15, 2023
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27 changes: 21 additions & 6 deletions src/Nncase.Passes/Rules/Neutral/AddPreProcess.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -175,13 +175,28 @@ protected override Task<IRModule> RunCoreAsync(IRModule module, RunPassContext o
// Normalization
if (mean.Length != 0)
{
newInput = mean.Length switch
switch (mean.Length)
{
3 when inputShape.Length == 4 => (newInput - Tensor.From(mean, new[] { 1, mean.Length, 1, 1 })) /
Tensor.From(std, new[] { 1, std.Length, 1, 1 }),
_ => (newInput - Tensor.From(new float[] { mean[0] }, new[] { 1 })) /
Tensor.From(new float[] { std[0] }, new[] { 1 }),
};
case 3 when inputShape.Length == 4:
var meanCall = (Expr)Tensor.From(mean, new[] { 1, mean.Length, 1, 1 });
meanCall.Metadata.OutputNames = new[] { "Mean" };
var stdCall = (Expr)Tensor.From(std, new[] { 1, std.Length, 1, 1 });
stdCall.Metadata.OutputNames = new[] { "Std" };
var subMean = (newInput - meanCall).With(metadata: new IRMetadata() { OutputNames = new[] { input.Metadata.OutputNames?[0] + "_SubMean" } });
var divStd = (subMean / stdCall).With(metadata: new IRMetadata() { OutputNames = new[] { input.Metadata.OutputNames?[0] + "_DivStd" } });
newInput = divStd;
break;

default:
meanCall = (Expr)Tensor.From(new float[] { mean[0] }, new[] { 1 });
meanCall.Metadata.OutputNames = new[] { "Mean" };
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stdCall = (Expr)Tensor.From(new float[] { std[0] }, new[] { 1 });
stdCall.Metadata.OutputNames = new[] { "Std" };
subMean = (newInput - meanCall).With(metadata: new IRMetadata() { OutputNames = new[] { input.Metadata.OutputNames?[0] + "_SubMean" } });
divStd = (subMean / stdCall).With(metadata: new IRMetadata() { OutputNames = new[] { input.Metadata.OutputNames?[0] + "_DivStd" } });
newInput = divStd;
break;
}

// newInput = Binary(BinaryOp.Div, Binary(BinaryOp.Sub, newInput, Tensor.From(mean, new []{1,3,1,1})), Const.FromTensor(std) );
}
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