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!android-nn-driver:9329
* Added ElementwiseBinaryLayer that can represent all ElementwiseBinary
operations including Add, Div, Sub, Maximum, Mul and Minimum.
* Updated Delegate to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated Deserializer to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated OnnxParser to use ElementwiseBinaryLayer instead of the Add
layer.
* Updated TfLiteParser to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated CL and Neon tests to use ElementwiseBinaryLayer.
* Updated CL and Neon Backend Specific Optimizations to accept
ElementBinaryLayers as well as Add, Div, Mul, Sub, Maximum and Minimum
layers.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I7cbb96b60eb01f0e2b57b0541016d48a08b86c75
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* Added PaddingMode enum to PaddingDescriptor to enable Symmetric and
Reflect padding.
* Added Symmetric and Reflect Ref implementation.
* Added Serializer & Deserializer support.
* Added unit tests.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I4bed907b31742b32ccefe5e8ca39a6f1e5bd9dee
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This patch addes ReduceSum operation support for reference backend,
which computes the sum of elements across dimensions of a tensor.
Changelog v1:
- Fix file header descriptions.
Chagelog v2:
- Fix line limit issue.
- Fix type conversion issue.
Changelog v3:
- Remove tabs.
- Modify newly added file headers.
Changelog v4:
- Symbol on header isn't allowed so drop it from newly added file headers.
Changelog v5:
- Remove tabs, fix the use of brackets and align lines correctly.
Changelog v6:
- Add serializer and deserializer support.
Changelog v7:
- Fix build error add missed code.
Changelog v8:
- Rename ReduceSumDecriptor to ReduceDescriptor
- Update m_KeepDims field data type to bool on ReduceDescriptor
- Add ReduceOperation field to ReduceDescriptor
- Rename ReduceSumLayer to ReduceLayer
- Update ReduceLayer to use ReduceDescriptor
- Update ReduceLayer::ValidateTensorShapesFromInputs() function
- Rename RefReduceSumWokload to RefReduceWorkload
- Update workload to use ReduceDescriptor
- Update workload to use Decoders and Encoders
- Remove ReduceSum.hpp and ReduceSum.cpp
- Added Reduce.hpp and Reduce.cpp
- Move Mean.cpp (which is implementing REDUCE_MEAN) functionality to Reduce.cpp
- Update RefMeanWorkload to call Reduce function with ReduceOperation::Mean argument
- Remove Mean.hpp and Mean.cpp
- Update the Serializer/Deserializer ArmnnSchema.fbs for ReduceLayer, ReduceDescriptor, and ReduceOperation
- Update Serializer and Deserializer for serializing/parsing ReduceLayer
- Added TfLiter parser Sum test for REDUCE_SUM operator
- Make corresponding changes on front-end and Ref backend to support REDUCE_SUM operator
Changelog v9:
- Fixed build errors.
Change-Id: I8c8e034f3df73f9565b3c18eff51ecca6c542195
Signed-off-by: Inki Dae <inki.dae@samsung.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
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* 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
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* Added new layer named ElementwiseUnary
* Deprecated existing Abs/Rsqrt layer functions
* Updated existing Abs/Rsqrt test infrastructure to use new layer
* Added boilerplate for new Exp,Neg,Sqrt elemwise op layers
* AbsQuantize test removed pending future commit
* Serialization support added
!android-nn-driver:2550
Change-Id: Ic595c645925e17b45db568187fd05646daf2e87f
Signed-off-by: josh minor <josh.minor@arm.com>
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Also remove it from armnnSerializer and armnnUtils.
In general code within Arm NN should only include exactly what it needs.
This will help keep compile times down, and reduces the need for a
complete rebuild when anything in the public headers changes.
ArmNN.hpp should only be provided as a convenience for user code where the
user doesn't know enough of the API to decide which specific headers
they need.
Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
Change-Id: I4ffcaa7662af4f88a1babf2bf17d03da6f77d665
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* Added serialization support and serialization-deserialization test
for Comparison
* Added backward compatibility tests for Equal and Greater, to make
sure they are serialized and deserialized as Comparison
* Refactored serialization tests and reduced code duplication by
taking advantage of operator==() recently added for Descriptors
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Id0fd94ef4b17e4e51c8005e585ea3c47f9c1bd8d
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Signed-off-by: FinnWilliamsArm <Finn.Williams@arm.com>
Change-Id: I3b1af816cefc1760f63324f365de93f899c9c9ee
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Change-Id: Ib307ec6c28beb6c158d337678e67a2484c495a06
Signed-off-by: Nina Drozd <nina.drozd@arm.com>
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This makes the header file change to ArmnnSchema_generated.h,
which is then unambiguous with respect to other generated schema files.
Change-Id: Id7785ed74cced4dcd4d6bcbab81e53c6aeba973c
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
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Change-Id: I4166c0bbb5ba7f8b8884e71134c21f43d1fc27b0
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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* Added Convolution2dLayer to Schema.fbs
* Added ConstTensorData serialization and deserialization helper functions
* Added Convolution2d serialization and deserialization support
* Added serialization and deserialization unit tests
Change-Id: Id376c08410ae01511972a2b0abdce9cfab907462
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
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Change-Id: Iba41da3cccd539a0175f2ed0ff9a8b6a23c5fb6f
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Signed-off-by: Saoirse Stewart <saoirse.stewart@arm.com>
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