- RSQRT is only defined for positive numbers and
therefore the zeropoint and actual input value
will have an impact

- Clamp the range to avoid crashing. As long as the actual
input is within valid range everything works. If the input
is not valid the reference will crash and not generating
any output

Change-Id: I1082b508d9cd85ad4b017e7b786cfff730585172
Signed-off-by: Johan Alfven <johan.alfven@arm.com>

- now only converts array directly if ndim==0

Signed-off-by: William Isaksson <william.isaksson@arm.com>
Change-Id: Id23e419bc7dd717f9694013180d4609819fd2f56

William Isaksson authored Jul 12, 2023 and Rickard Bolin committed Aug 09, 2023

- npu_performance now uses write/read shapes instead of using ifm/ofms
for memory cycle estimations.

- also fixes a would be bug in the tflite_graph_optimiser, where one
read shape is not Shape4D.

Change-Id: I2067069a713d2cf9e65a5cc227e803de79940fff
Signed-off-by: William Isaksson <william.isaksson@arm.com>

Johan Gunnarsson authored Aug 04, 2023 and Rickard Bolin committed Aug 09, 2023

PAD input tensor shape plus paddings must equal output tensor shape.

Change-Id: Icc5dea9bf6a8f6e1c8402f4d9af4d9796e8ef1aa
Signed-off-by: Johan Gunnarsson <johan.gunnarsson@arm.com>

 - Documented High-Level and register-Level command stream options
 - Changed High-Level command stream display to show the name of the
command
 - Fixed an issue with some operators not being displayed by the
CLI option --verbose-operators
 - Changed an unneeded print in pass packing to a more useful assertion

Change-Id: I9d53f19f4e32d0478209bc964724c27c935f66d6
Signed-off-by: Tim Hall <tim.hall@arm.com>

 - Added Python support information
 - Clarified TensorFlow support information
 - Updated Requires-Python version to 3.8

Change-Id: Iab38a2f4480e58a1bd36d5055342c4bf7379dd09
Signed-off-by: Tim Hall <tim.hall@arm.com>

William Isaksson authored Aug 02, 2023 and Rickard Bolin committed Aug 07, 2023

We now don't rewrite tensors if the tensor is already an output tensor of the current subgraph

Signed-off-by: William Isaksson <william.isaksson@arm.com>
Change-Id: I9cb36d830616a69d35180326437ff53bcaa62d71

William Isaksson authored Jul 03, 2023 and Tim Hall committed Aug 04, 2023

Adds Vela version to description and metadata

Change-Id: I75fccd1a05a396612a249b8ec1662d8cae940ee6
Signed-off-by: William Isaksson <william.isaksson@arm.com>

William Isaksson authored Jul 25, 2023 and Fredrik Svedberg committed Jul 31, 2023

- Added support for multiple npu subgraphs to have the same cpu output tensor

Change-Id: I2e787306dd64af9b03cdf2bacb4c9ff7119f6c49
Signed-off-by: William Isaksson <william.isaksson@arm.com>

William Isaksson authored May 03, 2023 and Fredrik Svedberg committed Jul 31, 2023

Performance estimation now uses the parent_tensor mem_area instead of
the scheduler_op mem_area, because the mem_area is only set on the
parent_tensor by the scheduler.

Signed-off-by: wilisa01 <william.isaksson@arm.com>
Change-Id: I11f73686bfbd6958a8920c5e264a5f95cc3f23d1

William Isaksson authored Jun 19, 2023 and Fredrik Svedberg committed Jul 31, 2023

- checks that cmd1 payloads are legal in
  register_command_stream_generator,
- adds unit tests

Change-Id: I2bc23147f60fe090c71703f08d9cbaa279fac86e
Signed-off-by: William Isaksson <william.isaksson@arm.com>

William Isaksson authored Jul 17, 2023 and Fredrik Svedberg committed Jul 24, 2023

- Updated FlatBuffers files using TensorFlow 2.12.0 schema

- Added restriction for UnidirectionalSequenceLSTM to have 2D recurrent
  weights to handle that diagonal_recurrent_tensors attr is not
  currently supported.

Change-Id: I104fd1f52485b9b83d644772dbcdeea2d17585f0
Signed-off-by: William Isaksson <william.isaksson@arm.com>

 - Added graph optimiser function to convert convolution groups into
a split followed by separate convolutions and then a concat
 - Added semantic check for convolution groups
 - Added unit tests for convolution groups semantic checks
 - Fixed a minor typing issue with test_constraint_stride_range

Change-Id: I78ade408aa23469a79c9f517c4751da8619b77a9
Signed-off-by: Tim Hall <tim.hall@arm.com>

If any of H,W axes have shape 1, the IFM can be reshaped to support
reduction over the depth axis.

Signed-off-by: Alexander Hansson <Alexander.Hansson@arm.com>
Change-Id: I432ff1c399b7cee4ca5f0a8f4461e9c0a936d804

Alexander Hansson authored Jun 27, 2023 and Johan Alfvén committed Jul 11, 2023

- Add support for batch and depth channels when shape is 1
- Refactor reshaping in convert_mean_to_depthwise_conv

Signed-off-by: Alexander Hansson <Alexander.Hansson@arm.com>
Change-Id: If663395934ab58c76ba92b6ebaaf484a389ae699

Alexander Hansson authored Jun 22, 2023 and Tim Hall committed Jul 11, 2023

* Fix bug in register_command_stream_generator where certain
  high-level command streams resulted in missing DMA_WAIT commands
* Add unit-tests for DMA_WAIT and KERNEL_WAIT commands

Signed-off-by: Alexander Hansson <Alexander.Hansson@arm.com>
Change-Id: Iabb3ea3e95fa1ef933c50356d047b6b3f5aeafe3

Johan Alfvén authored Jul 10, 2023 and Tim Hall committed Jul 10, 2023

- In order to reduce memory usage, the live range mechanism have logic
to check if the ifm tensor can be reused for the ofm tensor for certain
operators

- In this failing test case, the input to the reshape/memcpy operator
has more than one consumer and this results in a faulty memory overwrite
since there are missing logic that should check the ifm consumers for
the memcpy operator

- The fix is to add the missing logic that ifm can only have one consumer

Change-Id: I2184c0f905b554f648c9732734098509e23b537c
Signed-off-by: Johan Alfven <johan.alfven@arm.com>

William Isaksson authored Jun 15, 2023 and Tim Hall committed Jul 10, 2023

Changes query initialization shapes to Shape4D(0,0,0,0) = [0,0,0,0]
instead of Shape4D(0) = [0,1,1,1]. The [0,1,1,1] tensors would affect
performance estimates and are not real.


Change-Id: Ic83b6f6a70c0c904b500f62756e1e125c99856c6
Signed-off-by: William Isaksson <william.isaksson@arm.com>

 - The problem is that the axis value can be either a scalar or an
array containing a single element
 - The solution is to check the length of the shape because the size
attribute returns the same value for both cases
 - This did not show up before because pytest warnings were not being
treated as errors
 - Removed pre-commit pytest option that caused tests to be searched for
from the root directory
 - Updated pyproject.toml pytest options to explicitly specify the test
directories, and to treat warnings as errors

Change-Id: I037054768e5c34f253b6062eadba1c3419ff65e4

* Improve check_cmd functions to return position of the checked commands.
* Update existing unit-tests to validate ordering of commands.

Signed-off-by: Alexander Hansson <Alexander.Hansson@arm.com>
Change-Id: I492487d768e1e80f6ea366e29f2f99441e4f9797

Add function description and type annotations to the optimization
functions missing them.
Fix type annotation issue when re-assigning variable
value to a different type.

Change-Id: I1ee442ff7a29cc07708fdd013430131eff599dd5
Signed-off-by: Raul Farkas <raul.farkas@arm.com>

* Convert Means with large IFMs to several DeptwiseConv2DBias and Add
  operations.
* Update tflite supported operator check with new height and width
  constraints.
* Update unit-tests to verify supported operator changes.
* Fix output-diff for 2D IFMs (MLBEDSW-7772)

Signed-off-by: Alexander Hansson <Alexander.Hansson@arm.com>
Change-Id: Ifae6fb1cdac475ae7dac5116c5f13631ff82108a

- A crash occurred due to NoneType subscriptable error when
rewriting a Slice op. The reason was that the Size tensor did
not contain any data.

- Added constraint pushing the Slice operator to the CPU if
begin or size tensor are empty.

- Added test to supported operators
- Updated SUPPORTED_OPS.md

Change-Id: Ide204cae24e5871f0e6ae1fdc98ac68d0ce4d3ae
Signed-off-by: Johan Alfven <johan.alfven@arm.com>

Raul Farkas authored May 09, 2023 and Fredrik Svedberg committed Jun 16, 2023

* Convert AvgPool with stride_width > 3 and Valid padding to Conv2D to
  optimize it to run on NPU.

Change-Id: I06ab412357f0b09b1498f9019a9d1963a324ad34
Signed-off-by: Raul Farkas <raul.farkas@arm.com>

Raul Farkas authored May 16, 2023 and Fredrik Svedberg committed Jun 16, 2023

* Fix bug that caused filter padding to not be added proportionally
  compared to the hardware padding added to IFM.
* Update needed_total_padding function that calculates hardware padding
  to also account for the cases in which IFM width is not divisible by
  the stride width.
* Update supported ops constraint on strides for conv2d to mark ops with
  stride width > 3 and IFM width that is not divisible by the
  optimization resize factor as not supported.
* Update unit tests that verify correct functionality when checking
  whether ops are supported or not.

Change-Id: I62f14cca890b779ca787a9603fa37c873ad522f8
Signed-off-by: Raul Farkas <raul.farkas@arm.com>

Change-Id: I4f466a7bac77d8bb6fa7243ea2e7c9f3be6d0585
Signed-off-by: Raul Farkas <raul.farkas@arm.com>

Update import of Sized from collections to collections.abc to work with
Python 3.10

Change-Id: Iae281db9402331972ad13660d04523608b23614d
Signed-off-by: Rickard Bolin <rickard.bolin@arm.com>

Johan Alfvén authored May 07, 2023 and Rickard Bolin committed Jun 14, 2023

- Added RSQRT int8 support, implemented as LUT.
- Added test to supported operators
- Updated SUPPORTED_OPS.md

Change-Id: I34904772e044be8d22a6dfe426edf85358a205b7
Signed-off-by: Johan Alfven <johan.alfven@arm.com>

- When optimizing for Size the scheduler does not try to add weight
buffering to the schedule since this would add extra SRAM usage to
the peak usage. However, for all other ops that uses less SRAM than
the peak there is memory available that could be used for weight
buffering and hence improve the performance.

- Removed limitation to only run optimize schedule when optimizing
for Performance. Regardless of optimizing for Performance or Size the
scheduler flow is the same except that the limit for max SRAM usage is
different.

Change-Id: I6880b35655e37b4916a9c15150f0b8e5126a1cd8
Signed-off-by: Johan Alfven <johan.alfven@arm.com>

- Cascading was recently enabled for Resize ops. A Resize op is
transformed into several ops. In this case the last op is a
DepthwiseConv2DBias using NEAREST resampling mode. This resampling/
upscaling is not taken into account when calculating the ifm box
size, causing the coordinates to get out of bounds.

- When generating the high level command stream there is a check to
see if an op is a resize op. If this is the case an upscaling factor
is calculated. The fix is to change this check to instead see if the
operator is using NEAREST resampling mode. If that is true, the
scaling factor should be used.

Change-Id: I5308a383cc3310c53004ccfe2d6fabf256478a26
Signed-off-by: Johan Alfven <johan.alfven@arm.com>

- Added fix when building the minimum schedule forcing the stripe
to be even for is_nearest ops. This is required in order to be
able to allow cascading for resize ops.

- Remove limitation in cascade builder that prevents resize ops
to be cascaded.

Change-Id: I05150102b91531ecba786936494f1817a4472f42
Signed-off-by: Johan Alfven <johan.alfven@arm.com>

Add more detailed explanations to verbose options

Change-Id: Ia001e62d4c26ea6ae07949c1c434cbfc1cc7e08a
Signed-off-by: Rickard Bolin <rickard.bolin@arm.com>

 - Added release information
 - Minor changes to SUPPORTED_OPS.md including version info

Change-Id: I91fae4c40c6c1f25b874268b18d077a9babd4875
Signed-off-by: Tim Hall <tim.hall@arm.com>

Signed-off-by: Alexander Hansson <Alexander.Hansson@arm.com>
Change-Id: I0e9db22c97a9e2fbfee618262ffc43532cfcee2c

Alexander Hansson authored May 17, 2023 and Fredrik Svedberg committed May 17, 2023

Signed-off-by: Alexander Hansson <Alexander.Hansson@arm.com>
Change-Id: I35fd042d572f62122ac681c231798c9f2163fc00

Tim Hall authored May 16, 2023 and Tim Hall committed May 17, 2023

 - Fixed an issue with the fusing of PAD and AVERAGE_POOL_2D whereby
the rounding away from zero didn't work because it requires the zero
point to be at zero but the input padding required it to be set to the
desired zero point. This affected both int8 and int16. The solution
was to remove it by using the bias prior to the scaling
 - Refactored the rounding away from zero mode

Change-Id: I8f2df69df06d2a9722315c346646e5a901cb2c3b
Signed-off-by: Tim Hall <tim.hall@arm.com>

Fixed serializing of attribute container and shared_name that
accidently got lost when fixing the crash for a faulty LSTM model.

Change-Id: Ibd11da65735112bed4b1c8bcc4ef048bc093ebc4
Signed-off-by: Johan Alfven <johan.alfven@arm.com>

Raul Farkas authored May 04, 2023 and Rickard Bolin committed May 15, 2023

* Fix import order in test_build.py
* Fix setup_tools_scm dependency version. Previously the version was
  restricted to < 6, creating a version restriction on Setuptools
  library too.
  Because an older version of Setuptools was used, running
  test_build.py::test_build_correct_readme_links would generate a
  UNKNOWN.egg-info directory in the src directory instead of a
  ethos_u_vela.egg-info directory.

Change-Id: I113ca25b23b39d43fa288e6eda16377f4f5b4143
Signed-off-by: Raul Farkas <raul.farkas@arm.com>

Add --verbose-progress CLI option used to enable printing progress
information in the compiler driver and scheduler.

Change-Id: I99ac8c6a654e60391d5c11e28b89250405daa53a
Signed-off-by: Raul Farkas <raul.farkas@arm.com>

Remove unused parameter rescale for faf

Change-Id: Id388d307f3eb0d27bce813ab58e3c9a5f4ba89ae
Signed-off-by: Rickard Bolin <rickard.bolin@arm.com>