Fix Windows build:

* CMake "install" commands require a RUNTIME argument for platforms with
DLLs (e.g. Windows).
* Replace use of non-standard variable length array with vector
* Remove unnecessary #include of unistd.h
* Add #ifdefs to dynamic backend code to disable for non-Unix platforms
where you can't use dlopen etc. We could implement this properly for Windows
later using LoadLibrary etc., but for now erroring is fine.
* Add missing #include of <algorithm>

Change-Id: Ic8ef5fd599b37bf8772510157b6e479819f6a1eb

1 files changed, 2 insertions, 2 deletions

diff --git a/src/armnn/layers/StackLayer.cpp b/src/armnn/layers/StackLayer.cpp
index 7f1dbec461..43e0ac3134 100644
--- a/src/armnn/layers/StackLayer.cpp
+++ b/src/armnn/layers/StackLayer.cpp
@@ -38,7 +38,7 @@ std::vector<TensorShape> StackLayer::InferOutputShapes(const std::vector<TensorS
 
     BOOST_ASSERT(axis <= inputNumDimensions);
 
-    unsigned int dimensionSizes[inputNumDimensions + 1];
+    std::vector<unsigned int> dimensionSizes(inputNumDimensions + 1, 0);
     for (unsigned int i = 0; i < axis; ++i)
     {
         dimensionSizes[i] = inputShape[i];
@@ -51,7 +51,7 @@ std::vector<TensorShape> StackLayer::InferOutputShapes(const std::vector<TensorS
         dimensionSizes[i] = inputShape[i-1];
     }
 
-    TensorShape targetShape = TensorShape(inputNumDimensions + 1, dimensionSizes);
+    TensorShape targetShape = TensorShape(inputNumDimensions + 1, dimensionSizes.data());
 
     return std::vector<TensorShape>({ targetShape });
 }