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Fixed by adjusting zero points for ops with int8 IFM and asymmetric weights
since the reference does not support asymmetric weights for int8 IFM and
ignores the zero points.
Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
Change-Id: I2a206a01a471a53aa864a6a3616aa23d2a5a23c8
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Remove quant_values attribute from Tensor class.
It only needs a single values attribute, holding either
quantized or unquantized values as appropriate.
Change-Id: Ie96f80ac58061b6077e0f7048dc60209fdfbcafa
Signed-off-by: James Peet <james.peet@arm.com>
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Mapping to internal input indexing has been added to
tflite_reader.py and tosa_reader.py.
And the other way around in tflite_writer.py.
Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com>
Change-Id: I4d8596e747cfa7c4203884c4e785eb1977e2bcc1
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Added basic TOSA support, enabling Vela to
read and compile a .tosa file corresponding to
CONV2D + Rescale + Clamp, and writing it to an
optimized .tflite file.
The optimized .tflite file, will in this case, hold
a commandstream where the Rescale and Clamp has been
fused into the CONV2D.
The optimized tflite file is not output from Vela.
-Added support to read .tosa file into Vela
internal structure.
- Added tosa_reader.py, tosa_mapper.py and
helper files stored under tosa/
- Support for this limited to ~10 ops
-Added reader_util.py for functions common
for TOSA and TFLite
-Added tosa_graph_optimiser.py
-Added support to fuse Rescale into convolution
-Modified handling for padding
-Added support to fuse Clamp to previous op
-Added graph_optimiser_util.py
-Moved functions common for TOSA/TFLite graph
optimization to this file.
-Renamed graph_optimiser.py to tflite_graph_optmiser.py
-Added separate tosa_supported_operators.py
-Added supported_operator_util.py
-For functions in common for TOSA/TFLite
Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com>
Change-Id: Ic3c540504ec8c5eb4771397fdc6882050ecf33ab
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When faced with an invalid tflite file we now catch the exception to
make it clear to the user that the issue is with the input and not with
Vela, instead of just crashing.
Same also applies to our own Vela error messages.
Signed-off-by: Henrik G Olsson <henrik.olsson@arm.com>
Change-Id: I56a81c5be9e1f46f3b98a88c6d24ee42fa0e450d
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Fixed pass through of LSTM operator.
Change-Id: I23140c69ab6cdc83f6bb8129256b4cc6a7c5ffac
Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
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Updated tflite loader and mappings from tensorflow 2.3 to tensorflow 2.4
Signed-off-by: Tim Hall <tim.hall@arm.com>
Change-Id: I55884000ee139baf639bb0377008e0534f72fe94
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Added handling of input tensors with constant string data.
Signed-off-by: Louis Verhaard <louis.verhaard@arm.com>
Change-Id: Ieb5164a9d56d580ad08ea834bf2cbb7288cd9539
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Due to an issue with potential cyclical imports, especially when running
individual parts of vela standalone for example with pytest, the
specialised error functions are moved out of errors.py to their
respective locations.
The use of getattr over isinstance prevents the need to import the
tensor/operator class causing the cyclical import issue.
Signed-off-by: Michael McGeagh <michael.mcgeagh@arm.com>
Change-Id: If8cee4b1a2562660c6a47e1c7aeb5d7fd4dd1fca
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Minor refactoring to use fstrings.
Improve Error classes to correctly inherit the base class.
Use existing exception classes instead of plain exceptions where it
makes sense.
Signed-off-by: Michael McGeagh <michael.mcgeagh@arm.com>
Change-Id: I0941c04e91010da1db77299517a8e2d896371e77
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Replace conditional checks against sets with tuples.
If not requiring uniqueness, or complex set operations, it is quicker to
use tuples instead.
Signed-off-by: Michael McGeagh <michael.mcgeagh@arm.com>
Change-Id: Ie8732c8d46067244963936c53f0ec81adda50372
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Pylint W0102:
When a mutable value as list or dictionary is detected in a
default value for an argument.
Replace detected instances with None, and upon checking for None, sets
the default accordingly
Signed-off-by: Michael McGeagh <michael.mcgeagh@arm.com>
Change-Id: I4eb73d07d01d4cdefa586eb71b9c76746eee3b11
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Fixed DepthwiseConv2D fails when bias tensor quant_values are None.
Also fixed DepthwiseConv2D fails with implicit depth multiplier.
Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
Change-Id: I799a565eefa498ccf7ac626fcd472b8cbd908931
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When encountering a sparse string buffer, Vela fails
both due to missing a mapping for a Numpy string type
and also for not being able to read sparse buffers.
The failing line is attempting to reshape a [100]
buffer into a [3, 5] tensor which does not work due
to Vela treating the buffer as non-sparse.
The solution here is to simply not do the reshape
for string buffers (which all appear to be sparse)
since it is not something that will be supported in
the future anyway.
The related operator can then be pushed to the CPU
as expected.
Signed-off-by: Dwight Lidman <dwight.lidman@arm.com>
Change-Id: Iea0af6cd60a691f975209014b6aa098dde8d6a4b
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Added external API to generate register command streams.
Existing code generation has been refactored to make
use of this API.
Change-Id: Ibb4c2b167809869f16470b14da24f08a65c82b7b
Signed-off-by: Louis Verhaard <louis.verhaard@arm.com>
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Changed so that there is an option to set if Tensor clone should be
seen as unique or not.
Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com>
Change-Id: Ie51c1a5e84b535380d498b105aa18ccba1c8b27c
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Separate scale+bias tensors by different equivilence_id.
Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com>
Change-Id: I674341950bc001ac6e4015206995f048a0dfee75
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Added check so that inputs with no values are not reshaped.
Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com>
Change-Id: Id5e53b093508583c2d70ba7e337869db3de32701
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- op.type is now an enum instead of a string
- Removed unused operator codes
- Refactored some attributes like npu_block_type, fused_activation_function
- Refactored operator index calculation
- Refactored a number of operator sets
Change-Id: I641f65ee375794b7aec42abc0664251ae37d78e8
Signed-off-by: Louis Verhaard <louis.verhaard@arm.com>
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Fixed crash in networks with 5D tensors.
Fixed crash for (int32) tensors without quantization.
Added validity checks for concatenation.
Moved unfusing of activation function from tflite_reader to graph_optimiser.
Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
Change-Id: Ib9ba8891dc95ef5491e15d0feedef44331a26393
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- Added check for non-constant weights in supported operators
- Added check ifm & ifm2 shapes
- Handle None tensors for CPU operators
- Handle missing attributes for Cast operator
Signed-off-by: Andreas Nevalainen <andreas.nevalainen@arm.com>
Change-Id: I2f16d3d44d0c6da5237550b39273cdb9cc3c7607
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Includes a number of changes:
* Handle non-existing optional inputs
* Handle disabled optional inputs (-1 indexed)
* Added unit tests for parsing operators
* Add bias tensor to the different Convolutions + FullyConnected if
it's missing.
Signed-off-by: Jacob Bohlin <jacob.bohlin@arm.com>
Change-Id: Ib88d2b610314b1c886fc0aef4f9da87430ce6ae5
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Signed-off-by: Jacob Bohlin <jacob.bohlin@arm.com>
Change-Id: If22fd21f9953a62305620a4e804e5caacb342c89
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add_input_tensor, set_output_tensor, create_const_tensor and
create_reshape_tensor have recently been added.
This replaces all found existing instances with these new helper
functions
Signed-off-by: Michael McGeagh <michael.mcgeagh@arm.com>
Change-Id: If33be8dbf237b2087b562b03cdeb51da1f99a786
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The input tflite file potentially has metadata attached to it, which was
lost when writing the vela optimised tflite file out.
This patch preserves any metadata found.
Signed-off-by: Michael McGeagh <michael.mcgeagh@arm.com>
Change-Id: I7b4e941696d21b81802fd4398cd405323778bedf
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- In networks that share the scale & bias tensor between operators,
differences in operator quantization causes conflicting HW packed
scale & bias values for the tensor. This commit replicates the
scale and bias tensors per operator, similar to weights handling,
to avoid this conflct.
Signed-off-by: <tim.hall@arm.com>
Change-Id: Idee1fdf222ec849b6659adb0891b331d162524b7
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Reshape ops should contain a "new_shape" attribute. An invalid tflite
file without this attribute caused vela to crash.
The new_shape however is the same as the output shape, so if missing, we
can easily add this missing attribute.
Signed-off-by: Michael McGeagh <michael.mcgeagh@arm.com>
Change-Id: I28ebf028c68bf34bcf03746f57fce53abfcf09e1
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- Fixed custom operator pass through
- Added error printing functions for operators and tensor
- Minor cleanup of custom exception handling
Signed-off-by: Tim Hall <tim.hall@arm.com>
Change-Id: Idf295df1e4c544381dc480244d880c32fb285e38
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- No functional change
Signed-off-by: Tim Hall <tim.hall@arm.com>
Change-Id: I5ab1198b9d092cd041fa9b85b2dee9900d299bfc
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- Added support for HardSwish (placed on CPU)
- Improved error reporting for unknown operator codes in input file
Signed-off-by: Louis Verhaard <louis.verhaard@arm.com>
Change-Id: I1d1c7b9d786288d7098450cdad2b67fc0759378b
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If same weight tensor was used with different block configs,
errors would occur.
Fixed by always cloning weight tensors, using a global weight
compression cache and modifying the linear allocator to
detect multiple usage of same weight compression.
Change-Id: I91ca59176e1c59c66e0ac7a4227f2b5f0b47053f
Signed-off-by: Louis Verhaard <louis.verhaard@arm.com>
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This commit fixes the failing assert by removing it
and instead placing unsupported ResizeBilinear
operators on the CPU.
It introduces a new graph optimisation function
which adds the necessary attributes as well as
new operator restrictions for ResizeBilinear.
Signed-off-by: Dwight Lidman <dwight.lidman@arm.com>
Change-Id: I2feffd0b5a2169ebffbe4f165e450b3f2d140380
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This commit ensures the IFM block size calculation
in architecture_features.py matches the specification
by correctly setting the ifm upscaling factor based on
the upscaling mode.
This requires adding an attribute to the Tensor object
which stores the upscaling mode for that specific
tensor and making sure that information is correctly
carried over to shared_buffer_allocation.py.
Signed-off-by: Dwight Lidman <dwight.lidman@arm.com>
Change-Id: I4ab56086f4c694d3bf759bbad30cdb969b4a26db
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Added custom exceptions to handle different types of input errors.
Also performed minor formatting changes using flake8/black.
Change-Id: Ie5b05361507d5e569aff045757aec0a4a755ae98
Signed-off-by: Louis Verhaard <louis.verhaard@arm.com>
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Moved len1_array_to_scalar from a nested function to a staticmethod
of TFLiteSubgraph.
Change-Id: I182f0b70f03070855c1a4478d26644892c1ebb15
Signed-off-by: Diego Russo <diego.russo@arm.com>
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- Removed the assert on datatype not being uint8/int8/int16
- Allow unquantised inputs
- This will break for float32 versions of supported operators
Change-Id: Id579b7adf61645b7578ee59bc2003c49108aedd5
Signed-off-by: Tim Hall <tim.hall@arm.com>
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Also updated README.md
Change-Id: I118309c61f4d00e8508d6b888c606995490fba39
Signed-off-by: Diego Russo <diego.russo@arm.com>
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This patch adds support for the ResizeBilinear operator.
It is implemented using a 2x2 Nearest Neighbor upscale
followed by a 2x2 Average Pool.
Depending on the argument align_corners
the output is either of shape:
- (2 * M, 2 * N) when align_corners == True, or
- (2 * M - 1, 2 * N - 1) when align_corners == False
where (M, N) is the input shape.
The padding mode is SAME when align_corners == True
and VALID when align_corners == False.
The argument half_pixel_centers is out of scope and is
as of now ignored.
Note that only upscaling by a factor of 2 is supported.
Change-Id: Ia6d6d010c4f1bb13f5f839bc8d16872a626d9a3b
Signed-off-by: Dwight Lidman <dwight.lidman@arm.com>
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Use pre-commit framework [1] to run black and flake8 before the commit.
black and flake8 are managed by the pre-commit framework and they can be
run manually by the user using `pre-commit run` command.
Fix the code base with the help of black and flake8.
Fix import statements according to PEP8 guidelines [1]
Both tools have the following settings (specified in the pre-commit
configuration file):
* line length: 120 characters
* directory to exclude: ethosu/vela/tflite/ and ethosu/vela/ethos_u55_regs
Updated README.md on how to install pre-commit and how to run sanity checks.
Pipenv files have been updated including new dependencies for pre-commit.
[1]: https://www.python.org/dev/peps/pep-0008/#imports
[2]: https://github.com/pre-commit/pre-commit
Change-Id: I304d9fffdf019d390ffa396a529c8a7c2437f63d
Signed-off-by: Diego Russo <diego.russo@arm.com>
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- Added modules ethosu.vela and ethosu.mlw_codec.
- Added README and various configuration files.
Change-Id: I3690f8c8f5966306ecddaeb2793c30ca9c6e2eee
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