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authorJames Conroy <james.conroy@arm.com>2020-11-06 16:28:18 +0000
committerJames Conroy <james.conroy@arm.com>2020-11-09 18:26:28 +0000
commitaba90cd608eb65ab459cd71a6724511a1507763b (patch)
tree8c83548e02de2bc6c34811ea2eb9c3dac0976068 /src/backends/reference/workloads/ElementwiseFunction.cpp
parentc9bc80e1d93d27ad298133c7345627e6a946fb92 (diff)
downloadarmnn-aba90cd608eb65ab459cd71a6724511a1507763b.tar.gz
IVGCVSW-5091 Add Logical ops frontend and ref impl
* Add frontend and reference implementation for logical ops NOT, AND, OR. * Unary NOT uses existing ElementwiseUnary layer and ElementwiseUnary descriptor. * Binary AND/OR uses new layer LogicalBinary and new LogicalBinary descriptor. * Add serialization/deserializion support and add missing ElementwiseUnary deserializer code. * Add additional Boolean decoder in BaseIterator.hpp. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: Id343b01174053a166de1b98b6175e04a5065f720
Diffstat (limited to 'src/backends/reference/workloads/ElementwiseFunction.cpp')
-rw-r--r--src/backends/reference/workloads/ElementwiseFunction.cpp25
1 files changed, 25 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/ElementwiseFunction.cpp b/src/backends/reference/workloads/ElementwiseFunction.cpp
index afae188bd6..d6f3f42478 100644
--- a/src/backends/reference/workloads/ElementwiseFunction.cpp
+++ b/src/backends/reference/workloads/ElementwiseFunction.cpp
@@ -37,6 +37,26 @@ ElementwiseUnaryFunction<Functor>::ElementwiseUnaryFunction(const TensorShape& i
BroadcastLoop(inShape, outShape).Unroll(Functor(), 0, inData, outData);
}
+template <typename Functor>
+LogicalBinaryFunction<Functor>::LogicalBinaryFunction(const TensorShape& inShape0,
+ const TensorShape& inShape1,
+ const TensorShape& outShape,
+ Decoder<InType>& inData0,
+ Decoder<InType>& inData1,
+ Encoder<OutType>& outData)
+{
+ BroadcastLoop(inShape0, inShape1, outShape).Unroll(Functor(), 0, inData0, inData1, outData);
+}
+
+template <typename Functor>
+LogicalUnaryFunction<Functor>::LogicalUnaryFunction(const TensorShape& inShape,
+ const TensorShape& outShape,
+ Decoder<InType>& inData,
+ Encoder<OutType>& outData)
+{
+ BroadcastLoop(inShape, outShape).Unroll(Functor(), 0, inData, outData);
+}
+
} //namespace armnn
template struct armnn::ElementwiseBinaryFunction<std::plus<float>>;
@@ -67,3 +87,8 @@ template struct armnn::ElementwiseUnaryFunction<armnn::exp<float>>;
template struct armnn::ElementwiseUnaryFunction<std::negate<float>>;
template struct armnn::ElementwiseUnaryFunction<armnn::rsqrt<float>>;
template struct armnn::ElementwiseUnaryFunction<armnn::sqrt<float>>;
+
+// Logical Unary
+template struct armnn::LogicalUnaryFunction<std::logical_not<bool>>;
+template struct armnn::LogicalBinaryFunction<std::logical_and<bool>>;
+template struct armnn::LogicalBinaryFunction<std::logical_or<bool>>;