fixed up where some header files showed up in the CNTK Project after the directory move
This commit is contained in:
Родитель
eb14fb767d
Коммит
583f10e4f1
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@ -139,30 +139,66 @@
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<ClInclude Include="..\Common\Include\ProgressTracing.h">
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<ClInclude Include="..\Common\Include\ProgressTracing.h">
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<Filter>Common\Include</Filter>
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<Filter>Common\Include</Filter>
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</ClInclude>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\CompositeComputationNodes.h" />
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<ClInclude Include="..\ComputationNetworkLib\MatrixPool.h" />
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<ClInclude Include="..\SGDLib\DataReaderHelpers.h" />
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<ClInclude Include="..\SGDLib\IComputationNetBuilder.h" />
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<ClInclude Include="..\SGDLib\MultiNetworksSGD.h" />
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<ClInclude Include="..\SGDLib\SGD.h" />
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<ClInclude Include="..\SGDLib\SimpleEvaluator.h" />
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<ClInclude Include="..\SGDLib\SimpleOutputWriter.h" />
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<ClInclude Include="..\ComputationNetworkLib\ComputationNetwork.h" />
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<ClInclude Include="..\ComputationNetworkLib\ComputationNetworkBuilder.h" />
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<ClInclude Include="..\ComputationNetworkLib\ComputationNode.h" />
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<ClInclude Include="..\ComputationNetworkLib\ConvolutionalNodes.h" />
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<ClInclude Include="..\ComputationNetworkLib\EvaluationCriterionNodes.h" />
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<ClInclude Include="..\ComputationNetworkLib\InputAndParamNodes.h" />
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<ClInclude Include="..\ComputationNetworkLib\LinearAlgebraNodes.h" />
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<ClInclude Include="..\ComputationNetworkLib\NonlinearityNodes.h" />
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<ClInclude Include="..\ComputationNetworkLib\RecurrentNodes.h" />
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<ClInclude Include="..\ComputationNetworkLib\TrainingCriterionNodes.h" />
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<ClInclude Include="BrainScript\BrainScriptEvaluator.h">
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<ClInclude Include="BrainScript\BrainScriptEvaluator.h">
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<Filter>BrainScript</Filter>
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<Filter>BrainScript</Filter>
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</ClInclude>
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</ClInclude>
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<ClInclude Include="BrainScript\BrainScriptParser.h">
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<ClInclude Include="BrainScript\BrainScriptParser.h">
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<Filter>BrainScript</Filter>
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<Filter>BrainScript</Filter>
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</ClInclude>
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</ClInclude>
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<ClInclude Include="..\SGDLib\SimpleOutputWriter.h">
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<Filter>from SGDLib\SGD</Filter>
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</ClInclude>
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<ClInclude Include="..\SGDLib\SGD.h">
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<Filter>from SGDLib\SGD</Filter>
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</ClInclude>
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<ClInclude Include="..\SGDLib\SimpleEvaluator.h">
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<Filter>from SGDLib\SGD</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\MatrixPool.h">
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<Filter>from ComputationNetworkLib\Network</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\CompositeComputationNodes.h">
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<Filter>from ComputationNetworkLib\Nodes</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\ComputationNode.h">
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<Filter>from ComputationNetworkLib\Nodes</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\ConvolutionalNodes.h">
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<Filter>from ComputationNetworkLib\Nodes</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\ComputationNetwork.h">
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<Filter>from ComputationNetworkLib\Network</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\ComputationNetworkBuilder.h">
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<Filter>from ComputationNetworkLib\Network</Filter>
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</ClInclude>
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<ClInclude Include="..\SGDLib\DataReaderHelpers.h">
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<Filter>from ComputationNetworkLib\Network</Filter>
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</ClInclude>
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<ClInclude Include="..\SGDLib\IComputationNetBuilder.h">
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<Filter>from ComputationNetworkLib\Network</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\EvaluationCriterionNodes.h">
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<Filter>from ComputationNetworkLib\Nodes</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\InputAndParamNodes.h">
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<Filter>from ComputationNetworkLib\Nodes</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\LinearAlgebraNodes.h">
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<Filter>from ComputationNetworkLib\Nodes</Filter>
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</ClInclude>
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<ClInclude Include="..\SGDLib\MultiNetworksSGD.h">
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<Filter>from ComputationNetworkLib\Network</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\NonlinearityNodes.h">
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<Filter>from ComputationNetworkLib\Nodes</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\RecurrentNodes.h">
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<Filter>from ComputationNetworkLib\Nodes</Filter>
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</ClInclude>
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<ClInclude Include="..\ComputationNetworkLib\TrainingCriterionNodes.h">
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<Filter>from ComputationNetworkLib\Nodes</Filter>
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</ClInclude>
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</ItemGroup>
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</ItemGroup>
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<ItemGroup>
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<ItemGroup>
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<Text Include="modelEditor.txt">
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<Text Include="modelEditor.txt">
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@ -203,9 +239,6 @@
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<Filter Include="from SGDLib">
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<Filter Include="from SGDLib">
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<UniqueIdentifier>{d3d5900a-8c5e-45f1-a2b7-f82f0e31994d}</UniqueIdentifier>
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<UniqueIdentifier>{d3d5900a-8c5e-45f1-a2b7-f82f0e31994d}</UniqueIdentifier>
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</Filter>
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</Filter>
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<Filter Include="from SGDLib\SGD Parallelization">
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<UniqueIdentifier>{8531d7fb-a673-491a-988a-012c92fafbfd}</UniqueIdentifier>
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</Filter>
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<Filter Include="from SGDLib\SGD">
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<Filter Include="from SGDLib\SGD">
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<UniqueIdentifier>{4f06ac18-7b30-490c-b801-128bdaa99450}</UniqueIdentifier>
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<UniqueIdentifier>{4f06ac18-7b30-490c-b801-128bdaa99450}</UniqueIdentifier>
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</Filter>
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</Filter>
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@ -51,12 +51,12 @@ namespace Microsoft { namespace MSR { namespace CNTK {
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// -------------------------------------------------------------------
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// -------------------------------------------------------------------
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// elementwise operations
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// elementwise operations
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// Result goes into 'this'.
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// Result goes into 'this', and can optionally be added to the existing value.
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// E.g. c.DoSumOf(beta,a,b,alpha) means c := beta * c + alpha * (a + b).
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// E.g. c.DoSumOf(beta,a,b,alpha) means c := beta * c + alpha * (a + b).
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// and c.DoDiffOf(0, c, a, 1) means c -= a.
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// and c.DoDiffOf(0, c, a, 1) means c -= a.
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// All operators support elementwise in-place operations, i.e. a, b, and c
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// All operators support elementwise in-place operations, i.e. a, b, and c
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// may all reference the same underlying SOB.
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// may all reference the same underlying SOB.
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// If beta == 0, c is not read out.
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// If beta == 0, c is not read out, i.e. it can be uninitialized or contain NaNs.
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// -------------------------------------------------------------------
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// -------------------------------------------------------------------
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void DoSumOf(ElemType beta, const TensorView & a, const TensorView & b, ElemType alpha) { DoBinaryOpOf(beta, a, b, alpha, 0); }
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void DoSumOf(ElemType beta, const TensorView & a, const TensorView & b, ElemType alpha) { DoBinaryOpOf(beta, a, b, alpha, 0); }
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