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author | James Conroy <james.conroy@arm.com> | 2020-11-06 16:28:18 +0000 |
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committer | James Conroy <james.conroy@arm.com> | 2020-11-09 18:26:28 +0000 |
commit | aba90cd608eb65ab459cd71a6724511a1507763b (patch) | |
tree | 8c83548e02de2bc6c34811ea2eb9c3dac0976068 /src/backends/reference/workloads/ElementwiseFunction.cpp | |
parent | c9bc80e1d93d27ad298133c7345627e6a946fb92 (diff) | |
download | armnn-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.cpp | 25 |
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>>; |