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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I7ce633a66e2ecb72a9cdd1bff690c4195a9a449f
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I3b1f44c10a3446cfe45a7757d8a98e9788ec5dc0
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I8142072f104b23c6eaf80b54cf6ddfa0393c4921
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* Added Unidirectional Sequence Lstm support to TFLite Parser
* Added support for float operations with int8 weights to TFLite Parser
* Added to Conv2d, Conv3D, DepthwiseConv2D, FullyConnected,
TransposeConv and UnidirectionalSequenceLstm
* Renamed subgraphIndex to subgraph to fix name-shadowing warning.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I818976ab88abc05dcb4bad246fb4108e6e879283
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I9f0acb71c4859116f57266637a35584278937ef9
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I7ab32f2998c2bc25fee8831d4be724286263b4b3
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* Added PADV2 support to TFLite Parser
* Added PADV2 unit tests
* Updated Parser Docs
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I06ea9a6ceddc38cdb89204c019432257d3f58e4c
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subgraph #0 error: Operator not supported
* Added missing support for reshape operator in tflite parser when
the target shape is dynamic and batch size is unknown
* Added corresponding unit test
Change-Id: I35e159c9c70440168c6092d2ad02828bb2b81cd9
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
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subgraph #0 error: Operator not supported"
This reverts commit 9fc259682c8b85af58bda42e87703bbec5ae57ce.
Fixes: IVGCVSW-6644 ExecuteNetwork tests failing with invalid input shape in Reshape layer
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I561e0bd9ed1b92491cb8a08635042e199dd661d8
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error: Operator not supported
* Added missing support for reshape operator in tflite parser when the target shape is dynamic and batch size is unknown
* Added corresponding unit test
Change-Id: I78f4b386f2e5e0d08ecacde17e33e304f6afbb70
Signed-off-by: Tamas Nyiri <tamas.nyiri@arm.com>
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* The TfLiteparser was returning non const TensorInfo's for input tensor
BindingPointInfo.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I20942aaef3afe7c91cf19fc3c007bec35828e69e
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Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ia1c97adb401c5381341408ec1e4da287ef2d48fe
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* Constant weights and biases are now stored as Constant layers.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteParser.
* Updated Ref backend to handle constant weights and
bias as inputs rather than reading from member variables.
* Added Conv3d EndToEnd test.
* Added NCDHW DataLayout and unit tests.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I10cdd354ca5f1c748730f92ffdb36bf810f83c8e
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* Add hash define to Conv3d for backwards compatibility when compiling
with TF 2.3.1
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I70eec3b26430240852938af34b065b32bab91ebe
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* Added CONV_3D operator support.
* Fixed TfLiteParser test issue where QAsymmU8 tests were incorrectly
using the Boolean comparison function.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I9db03b54b6de63f918717af80c5ac5310fe26183
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Change-Id: I292add699b2af32fab87b98929fe6fee79fdf356
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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This reverts commit fc8d434bb318aebb433a2f6d8ce9c066cd9c1b1e.
Reason for revert: Causes failures in the armv8 builds need to back out and fix again later
Change-Id: I5ccdbb622caaa6413de41e1ee073f38dcabff7d8
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* Added support for size of -1
A size of -1 is treated as size = dimension - begin
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I4e381a3794852ec45be029028e2d29bc87791635
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Change-Id: I4199239228f7d5f4c819a7fe04cca059a830bf1f
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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* Tflite parser
* Tflite delegate
* Serializer
* Deserializer
* Ref, CpuAcc and GpuAcc workloads
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I601a9ee1680b372c7955d9a628857d08c3cfd377
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* Added support for LRN to TfLiteParser
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ia34441a4adeecd1f17c65af047d6c207729703ec
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Replace these with a std::vector for portability
Change-Id: Ia6b0dc9360446ef8bba0baa88c61b4c400fcd799
Signed-off-by: Rob Hughes <robert.hughes@arm.com>
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* Constant weights and biases are now stored as Constant layers.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteDelegate, TfLiteParser and OnnxParser.
* Updated Schema with IsConstant and ConstantTensorsAsInputs.
* Updated Ref backend to handle constant weights and
bias as inputs rather than reading from member variables.
* Added dynamic or constant input EndToEnd tests.
!android-nn-driver:5959
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ibf3cf437df1100e4b322b0d303c575c6339f9696
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Change-Id: I6368925a19ee11d67b1b153cf1e7dc64eca11077
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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* tflite shape_signatures will now be the preferred way to detect dynamic tensors
* add test utility to the parser that converts a model's tensors to dynamic
* by default tests will run a dynamic version of the model in addition to the original
* fix dynamic shape inference of unpack operator
* reactivate and fix quantize test
* add shape inference to expand dims
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: If11ba19d813cd3590707583dff1e4eb0e6412a1d
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!android-nn-driver:5966
Change-Id: Ice0b4d2872bb0e09bfc0763034a206c3a8f24af4
Signed-off-by: Rob Hughes <robert.hughes@arm.com>
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E.g. Equal, NotEqual, Greater, GreaterOrEqual, Less and LessOrEqual
Signed-off-by: Bruno Goncalves <bruno.slackware@gmail.com>
Change-Id: Id56ef3cc19cc5c5daa19354010c9f25766e5fd00
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* Add ExpandDims tests in tfliteparser
* Add support for negative axis to squeeze
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I604c9b4ac6514895e9e3d4d85c2937e797d288e0
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* Add TfLiteParser and delegate support
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: Id3219ba7cc7128b5e73de2c7d8d076a40dcce9c5
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* This change is necessary because tflite uses a [1,H,W,I*M] format
and uses the I*M dimension for per axis quantization. Our previous
layout [M,I,H,W] can't handle the correlating quantization scales.
* Updates Onnx-, TfLiteParser and TfliteDelegate
* Updates the CpuRef, CpuAcc and GpuAcc backends
* Adjusts unit tests
* Adds test to ensure models with old layout can still be read and
executed
* Adds conversion function to previous layout [1,H,W,I*M] --> [M,I,H,W]
which can be used by backend developers
!android-nn-driver:5553
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ifef23368b8c3702cf315a5838d214f7dc13c0152
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I29793ece7b6bfc015c643be3ed16529ab50f0d7d
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I3dedcc86efe1a67c709d9da636953e2fc400107b
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* Fix bug in stack layer which causes some models to seg fault.
* Turn off bias input data if data location in TfLite file is set
to -1.
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: I0db8cfe04874979382edcf2bed336339700e3538
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* Removed check in TfLiteParser and Delegate that requires both weights
and biases to be constant or non-constant simultaneously
* Updated TfLiteParser FullyConnected layer test to properly use
non-constant weights
* MobileBERT Float32 model now runs on TfLiteParser
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: I1d75eea466caa90cd695ad353160362df2f69483
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* Reading tensor infos won't allow a permutation vector anymore.
The permutation only changed the quantization dimension not the
shape and was therefore misleading
* The permutation of the full tensor info is now performed in
armnnUtils::Permuted
* Changed TfLite Parser depthwise parsing function
* Added unit tests to TfLite Parser with more random data
* Changed TfLite Delegate depthwise parsing function
* Added unit test to the delegate with per channel quantization
!android-nn-driver:5412
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I1f985ee69547bcaf16a72201e00a6b6fe1ef9a97
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* Updated ParseSplit TfLiteParser function to read correct axis data.
* Improved validation in ParseSplit and ParseSplitV function.
* Added TensorFlow BOOL support to TfLiteParser.
* Added supported ElementWiseUnary operators to TfLiteParser
E.g. ABS, LOGICAL_NOT and RSQRT.
* Removed ParseExp and ParseNeg function implementation in favour
of reusable ParseElementWiseUnary function.
* Removed Exp.cpp and Neg.cpp files and moved tests to ElementWiseUnary.cpp.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ibce36e3ce4d95755dda88abc2ddde1e07e62c5e2
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IVGCVSW-5415 Add TfLiteParser support for CAST
* Added front end support for CAST, including support in the
Reference workload, Serialization, Deserializtion, Unit tests, and
TfLiteParser.
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: Iaf670ca5912a21ed6bc84f7f83a68b42154846bb
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* Fix for GitHub#523.
* Updated ParseArgMinMax function to read correct axis data.
* Improved validation in ParseArgMinMax function.
* Added ARG_MIN support to TfLiteParser.
* Added ArgMinMax unit tests for TfLiteParser.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib4ce1a7c66e210c47859a130c4896aac958f2654
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* Added support for Signed64 to flatbuffer's schema & updated source tree
* Added support for Signed64 to TFLite Delegate
* Added support for Signed64 to Serializer
* Added support for Signed64 to Deserializer
* Added unit test for ArgMinMax to Deserializer
* Deprecated m_Output_Type from the ArgMinMaxDescriptor: the output type
is solely determined by the DataType of the output Tensor
* Fixed issue where RefArgMinMaxWorkload could output data using
the wrong DataType
* Added Signed64 to RefLayerSupport::IsArgMinMaxSupported as a supported
type
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib622c052a1f8aa3e658262f8bde5a6881a8cbe10
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!armnn:5180
* Remove unnecessary memcopy for non permeuted const tensors
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: Idc3ce2ac001e7d6be61819279de486f093730383
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* Updated ParseReduce() function in TfLiteParser to read correct axis data
* Remove unused m_TargetWidth and m_TargetHight from ReduceDescriptor
* Updated the ArmNN Serializer Schema
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I98b6e00ccba1d8ea8c845cb1ae28840e42339629
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* Added TfLiteParser support for REDUCE_MIN and REDUCE_MAX operators
* Added ACL workloads support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators
* Added TfLite Delegate support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I8085d59946bfd4ab78a59a61f899031ae53371a8
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* Added Version.hpp to all Parsers
* Added Version.hpp to TfLite Delegate
* Updated CMakeLists to use new versions
* Added GetVersion method to parsers and TfLite Delegate
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: If29e1e6d9e615f9095ec1c01ad47acfff40b1dd5
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Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I4a82aca4a2c47b3c598b91bc0075c09397be728a
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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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* Added GATHER operator support to TfLiteParser
* Added DEPTH_TO_SPACE operator support to TfLiteParser
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Id5d3b54e2d850eb9f19417029efbeb73a3029e69
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* Report the error thrown
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: If5e5160f43c11a284b919d76b04d9c4d53e9c56c
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* Added support for bias vector in TransposeConv to TfLite parser
* Added UnitTest
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I6483986a9da9216084b4b885b7fd980fc3580fa9
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* Enabled Hard Swish and Elu in TfLiteDelegate
* Added support for Elu in TfLiteParser
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: If09321b58568a98e14cabce610a1586556da041e
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I85f0c30757043f8c27c78d607f0f9dbbdd35b9fb
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