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path: root/ethosu/vela/tflite_reader.py
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2020-08-21MLBEDSW-2663: Handle optional tensorsJacob Bohlin
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
2020-08-18MLBEDSW-2718: Fix a bug that would reshape TransposeConv inputJacob Bohlin
Signed-off-by: Jacob Bohlin <jacob.bohlin@arm.com> Change-Id: If22fd21f9953a62305620a4e804e5caacb342c89
2020-08-12MLBEDSW-2637 Utilise new tensor and operator funcsMichael McGeagh
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
2020-08-12MLBEDSW-2383 Preserve previous metadataMichael McGeagh
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
2020-08-04MLBEDSW-2574: Fix issue with different bias tensor scalingTim Hall
- 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
2020-08-03MLBEDSW-2603 Missing "new_shape" attrib in ReshapeMichael McGeagh
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
2020-06-18MLBEDSW-2528: MLCE-219: Custom operator pass throughTim Hall
- 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
2020-06-18Code clean-up using black and flake8Tim Hall
- No functional change Signed-off-by: Tim Hall <tim.hall@arm.com> Change-Id: I5ab1198b9d092cd041fa9b85b2dee9900d299bfc
2020-06-18MLBEDSW-2436: Support for HardSwish operatorLouis Verhaard
- 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
2020-06-18MLBEDSW-1941: Bug fix shared weightsLouis Verhaard
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>
2020-06-18MLBEDSW-2372: Failing assert for ResizeBilinear with upscale != 2xDwight Lidman
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
2020-06-18MLBEDSW-1971: Verify ifm block size calculation against specificationDwight Lidman
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
2020-06-18MLBEDSW-2067: added custom exceptionsLouis Verhaard
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>
2020-06-18Add test for len1_array_to_scalar functionDiego Russo
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>
2020-06-18Add float32 support for unsupported operatorsTim Hall
- 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>
2020-06-18Add reorder-python-import pre-commit hookDiego Russo
Also updated README.md Change-Id: I118309c61f4d00e8508d6b888c606995490fba39 Signed-off-by: Diego Russo <diego.russo@arm.com>
2020-06-18MLBEDSW-1498: Add Resize_Bilinear operator supportDwight Lidman
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>
2020-06-18Add pre-commit support for sanity checksDiego Russo
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>
2020-04-29Add Vela codebase0.1.0Tim Hall
- Added modules ethosu.vela and ethosu.mlw_codec. - Added README and various configuration files. Change-Id: I3690f8c8f5966306ecddaeb2793c30ca9c6e2eee
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