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path: root/src/armnnUtils/TensorUtils.cpp
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2023-09-18IVGCVSW-7855 removed ASSERTs from armnnUtils codeJim Flynn
Signed-off-by: Jim Flynn <jim.flynn@arm.com> Change-Id: Ie26ea2ac4a82d7460ae719fc3154c6a88b079606
2023-02-21MLCE-753 Expand Tensorshape for relevent layers before verifying supportRyan OShea
Previously we were adding a reshape layer to "broadcast" tensors for elementwise operations. This broadcast was happening too late and was really just an expand dims. This was breaking the constant attributes of tensors and layer support of certain backends. * Remove addition of reshape layer when expanding dimensions * Replace broadcast function with expand dims to equal rank function * Fix some error status checks in various layers * Add new TensorUtil function that expands dims to a defined rank * Add unit tests to new TensorUtil function Signed-off-by: Ryan OShea <ryan.oshea3@arm.com> Change-Id: I31aca47c98075fef4f86864a15470f5faa55ab8d
2023-01-24IVGCVSW-7455 Workaround to allow CLBatchMatMul to parse some 4D modelsMike Kelly
* Added ability to reduce dimension sizes when calling BuildArmComputeTensorInfo or BuildArmComputeTensorShapes, this will attempt to remove leading 1s in order to squeeze the number of dimensions but retain the size. * Changed ClBatchMatMulWorkload to attempt to squeeze the number of dimensions to 3 as the CL Gemm Kernel can only support up to 3 dimensions. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I6b3d0886c5b97fdb686838fc3dc292833ddc4643
2023-01-05GitHub #543 Problem Parsing Mixed-Precision ModelMike Kelly
* Fixed bug when converting Constants with Per-Axis Quantization Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Ifbea23e60483746ec987da491dae96e74cb33af4
2022-05-18IVGCVSW-6929 Support for models with implicit expandedMike Kelly
dimensions * Added allow-expanded-dims to TFLite parser and ArmNN delegate * If true ArmNN will disregard dimensions with a size of 1 when validating tensor shapes. Tensor sizes must still match. * This allows us to support models where tensors have expanded dimensions (i.e. extra dimensions with a size of 1). * Fixed bug in Network where it assumed that only the first option could be ShapeInferenceMethod. * Fixed bug where m_ShapeInferenceMethod was lost when copying or moving Graphs. * Changed Delegate to pass "infer-output-shape", "allow-expanded-dims" and other BackendOptions through to the Network during construction. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Ibe7c5ae6597796fc9164cb07bd372bd7f8f8cacf
2021-11-17IVGCVSW-6509 Front End + Reference Workload implementationTamás Nyíri
Subtask of story: IVGCVSW-6164 Add a Pooling3d FrontEnd and Ref Implementation * Add front end * Add reference workload * Add corresponding unit tests Change-Id: Icce4146dd0a06a1da46a2def00a82d343e171750 Signed-off-by: Tamas Nyiri <tamas.nyiri@arm.com>
2021-06-16IVGCVSW-5826 Change weights layout for depthwise to [1,H,W,I*M]Jan Eilers
* 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
2020-10-02IVGCVSW-5297 Remove boost::format from rest of ArmNN.Colm Donelan
* Replacing calls to boost:format with fmt:format. * TensorUtils.cpp added outputShape.reserve call. Signed-off-by: Colm Donelan <Colm.Donelan@arm.com> Change-Id: I4b2ed0f72039df824a2adca9309b8a9bbb158c5b
2020-09-17IVGCVSW-5303 Remove some boost::numeric_cast from rest of ArmNNMatthew Sloyan
* Replaced with armnn/utility/NumericCast.hpp * Exclusions in TypeUtils.cpp and QuantizerVisitor.cpp * Excluded as requires float implementation in NumericCast.hpp Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I5c4c60e7028e1a51bf9379457278d253fd37bc70
2020-04-06IVGCVSW-4485 Remove Boost assertNarumol Prangnawarat
* Change boost assert to armnn assert * Change include file to armnn assert * Fix ARMNN_ASSERT_MSG issue with multiple conditions * Change BOOST_ASSERT to BOOST_TEST where appropriate * Remove unused include statements Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I5d0fa3a37b7c1c921216de68f0073aa34702c9ff
2020-01-07IVGCVSW-4246 Enable -Wextra by defaultDerek Lamberti
!referencetests:218340 Change-Id: If24a604310d0363b1f09b406e4d53ebfeb106aad Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2019-12-09IVGCVSW-4210 Create a public API for the common backend filesMatteo Martincigh
* Create a public API for the common backend files * Move OutputHandler to armnn internal * Remove unused headers Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com> Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I3e86d908b021e3561befa9d45158d87d2cbb18c0
2019-11-29IVGCVSW-4209 Create a public API for the ArmNN UtilsMatteo Martincigh
* Moved the relevant armnnUtils headers to the new location: include/armnnUtils * Update the header usage throughout the source code !android-nn-driver:2387 Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com> Change-Id: I2ba15cebcacafad2b5a1a7b9c3312ffc585e09d6
2019-11-06IVGCVSW-3837 Add support for per-axis quantization to reference ↵Aron Virginas-Tar
Convolution2d workload Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I0ac08ba4864d48e6f64c4ac645dad8ea850be112
2019-11-05IVGCVSW-3836 Add support for Int32 per-axis scalesAron Virginas-Tar
* Added ScaledInt32PerAxisDecoder implementation * Added new case for Signed32 in MakeDecoder that returns a ScaledInt32PerAxisDecoder if the tensor info has multiple quantization scales Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I8b3c11091644da993044d2a0fe2aba6b06b5af56
2019-11-01GitHub #292 Build the ML-examples using only ArmNN's public frontend APIMatteo Martincigh
* Refactoring of some of the public API headers Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com> Change-Id: I9006fe49945b10a6b83908b05aa4a6556639b491
2019-09-16IVGCVSW-3694 Add ArgMinMax implementation for RefNarumol Prangnawarat
* Add ArgMinMax implementation * Add utility function to get number of elements between axis * Add utility function to get unsigned axis * Unit tests for ArgMinMax function Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I7bc3d610dda9526190187eb87394a8ed7a4b5cdd
2019-09-12IVGCVSW-3663 Add utility function to expand tensor dimensionNarumol Prangnawarat
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I54d2416be305db7d3fc15fb3123694ad6740b27d
2019-05-08IVGCVSW-2833 Add Dynamic QuantizationJim Flynn
Change-Id: Iba91e3f3625639f01d66f81a9f3e419e0e285d66 Signed-off-by: Jim Flynn <jim.flynn@arm.com>
2019-01-22IVGCVSW-2467 Remove GetDataType<T> functionNattapat Chaimanowong
Change-Id: I7359617a307b9abb4c30b3d5f2364dc6d0f828f0
2018-11-20IVGCVSW-2144: Adding TensorUtils classNina Drozd
* helper methods for creating TensorShape and TensorInfo objects Change-Id: I371fc7aea08ca6bbb9c205a143ce36e8353a1c48
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