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path: root/ethosu/vela/tflite_graph_optimiser.py
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2023-02-10MLBEDSW-4960: convert_resizebilinear_1x1_to_add creates constant output tensorwilisa01
Sets second input tensor of resize op to be constant and refactored function. Signed-off-by: wilisa01 <william.isaksson@arm.com> Change-Id: I496764f18b4c1ae0fa1a828dd7a90e937a42d41b
2023-02-07MLBEDSW-7237: CONV_2D stride 4 optimisationRaul Farkas
* Extend stride range from (1,3) to (1,4) * Add stride 4 support when optimising CONV_2D * Add some tests for various strides Change-Id: Iddaeb42c4a6e02695ecdd3740bc8b9dd59a7eb3c Signed-off-by: Raul Farkas <raul.farkas@arm.com>
2023-01-20MLBEDSW-7151: MLCE: Difference in model output between x86 & aarch64Tim Hall
- The issue is due to undefined behaviour when casting a NumPy float to a NumPy unsigned integer which occurs in create_const_tensor() - The fix is to make sure that the values are first cast to a Python float - In addition, the values datatype argument has been removed from create_const_tensor() to stop the tensor and values datatypes getting out of sync Change-Id: I134b9be8c941b361929a5ae7db8cb35f2e9728f2 Signed-off-by: Tim Hall <tim.hall@arm.com>
2022-12-22MLBEDSW-7203: Data type alias deprecationsRickard Bolin
Deprecation of some data type aliases in NumPy version 1.24.0 caused Vela to crash when using Python version 3.8 or above. Replaced the deprecated aliases. Signed-off-by: Rickard Bolin <rickard.bolin@arm.com> Change-Id: Ide167ee864a340194ec5e69537c8718192c78ace
2022-11-17MLBEDSW-6915: MLCE - Missing operators in Debug DB3.6.0.rc2wilisa01
- Adds missing operators and type conversion recording to DebugDB Change-Id: If76b0b430bbe73ae1469024c3160ecf0eea26abe Signed-off-by: wilisa01 <william.isaksson@arm.com>
2022-11-16MLBEDSW-6620: Update copyright notice and yearsRickard Bolin
- Update copyright notices to use SPDX format and add OSS mail as contact. - Update years on files where it had been missed. Signed-off-by: Rickard Bolin <rickard.bolin@arm.com> Change-Id: I7e9715ea4e17b76252728c708e46df12ad67ab1f
2022-11-15MLBEDSW-6905: Add dilation greater than 2 supportTim Hall
- Added graph optimisation pass to support dilations greater than 2 in either dimension - Removed supported operators restrictions - Removed erroneous dilation on TRANSPOSE_CONV - Updated unit tests and documentation Signed-off-by: Tim Hall <tim.hall@arm.com> Change-Id: Ide302374b0d5eff25c20501383a63f6aa7625c52
2022-11-09MLBEDSW-6881 SHAPE single op network is optimised to nothing3.6.0.rc1Fredrik Svedberg
Fixed by adding an operation to copy the statically optimised data to the subgraph output. Change-Id: Ica757e37d5460237973444ffd39c7d2850f319e3 Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
2022-11-03MLBEDSW-7074: Updated reference kernel for the MEAN opJohan Alfvén
The reference kernel for the MEAN operator has changed. As a result, the mean implementation can be simplified and the constraint for mean int8 can be removed. Signed-off-by: Johan Alfven <johan.alfven@arm.com> Change-Id: I318e9b495eefea99e7ac4aea4b8c436c83753405
2022-10-18MLBEDSW-6941: Set correct OFM shape for fc opJohan Alfvén
If IFM operator shape is rewritten so that batching is greater than one for fully connect, the OFM batch must also be calculated. This change will fix output diffs for networks that have fully connect OFM with rank greater than 2. Signed-off-by: Johan Alfven <johan.alfven@arm.com> Change-Id: I5009edc647a1449a02c8116b45808c1c68beffe6
2022-10-18MLBEDSW-6794: ResizeNearestNeighbor with HPCJohan Alfvén
- Removed half pixel centers constraint for resize nearest neightbor. - Supported scale 2x, 4x and 8x. - Removed test_constraint_resize_half_pixel_centers - Regenerated SUPPORTED_OPS.md Signed-off-by: Johan Alfven <johan.alfven@arm.com> Change-Id: Ic3e02e9c2b2034d537c9a9841b8fb4ee433c96dc
2022-10-04MLBEDSW-6969 Remove RescaleAdd and RescaleMul operatorsFredrik Svedberg
Removed RescaleAdd and RescaleMul operators in favour of Operation.explicit_scale and removed Operation.rescale. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: Idccd8851731d4bb8d4e84970e0fd6b409d7d4e45
2022-09-27MLBEDSW-6708 Check the bias tensor in graph optimiser mean opFredrik Svedberg
Cleaned up bias tensor use in graph optimiser for Mean operator. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: Ibcbfa010a4de67d97181df664b420168d6883d1e
2022-09-27MLBEDSW-6962: MEAN height is greater than max kernel heightJohan Alfvén
Fixed bug when height is greater than max kernel height. The shape of the weight must match the ifm shape. Signed-off-by: Johan Alfven <johan.alfven@arm.com> Change-Id: I901a8af2edd5858bb15d53d85ef8e2389049ada7
2022-09-23MLBEDSW-6928: Add int16 support for Resize Bilinear HPCRickard Bolin
Setting bias tensor dtype to DataType.int32 solves rounding issues for RB HPC int16. Removing the input data type check also solves the issue of resize nearest neighbor int16 ops incorrectly getting placed on the CPU. Signed-off-by: Rickard Bolin <rickard.bolin@arm.com> Change-Id: Iee352bcb78e581c0cde3c203dfbe866f1f6fae18
2022-09-23MLBEDSW-6686: Resize bilinear HPC with tile paddingRickard Bolin
- Added support for Resize Bilinear with half pixel centers for int8 and uint8. - Utilizes the new "TILE" padding mode. - Utilizes ofm stride multipliers and modified tile base offsets to write OFMs interleaved. Signed-off-by: Rickard Bolin <rickard.bolin@arm.com> Change-Id: I37fa77c022a368f05fda0ead75d8696c9205f833
2022-09-21MLBEDSW-4338 Randomized int16 PAD output diffFredrik Svedberg
The issue was that the AveragePool in these test cases were translated to DepthwiseConv2DBias and int16 convolutions always runs with reduced scale. Fixed so that reduced scale is not used in this case. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: Ice956eabbb37c8aa1991464870006971c6ecec43
2022-09-16MLBEDSW-6938 Fix PReLU optimisationFredrik Svedberg
Fixed PReLU optimisation to LeakyReLU with negative alpha. Added optimisation of LeakyReLU to ReLU when alpha is zero. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: I5e66f79b29908fffd95b6115799021138ebb401a
2022-09-13MLBEDSW-6929 Fix LeakyReLU int16 regressionsFredrik Svedberg
Fixed LeakyReLU regressions for int16 due to scaling introduced for handling negative alpha. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: I84a494fedf54bd4b47c4632645ded7d6cda445f8
2022-09-12MLBEDSW-6869 Improve LeakyRelu supportFredrik Svedberg
Added support for int16 LeakyRelu for negative alpha and alpha greater than one. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: I7f522ebfe014786d0a1d96172e75c7d9bdd76921
2022-09-12MLBEDSW-6613: Implement tile paddingRickard Bolin
Implement new padding mode which pads two edges of the IFM with the current values of those edges Signed-off-by: Rickard Bolin <rickard.bolin@arm.com> Change-Id: I8523e0cabdac80b48710703859003e33050cc150
2022-09-12MLBEDSW-6909: Use int32 acc for the Mean opJohan Alfvén
Changed acc type from int16 to int32. This will solve saturation problems and the constraint added in commit "MLBEDSW-5029: Output diff for Mean op" can be removed. Signed-off-by: Johan Alfven <johan.alfven@arm.com> Change-Id: I05ec8835b43313b1a264d61a2b147fa62da123fe
2022-09-06MLBEDSW-6870 Optimisations for PReLUFredrik Svedberg
Added optimisations for PReLU when the alpha values allows it. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: Iff9124e691663ee495379f89900e7c35dbc5f948
2022-09-01MLBEDSW-5029: Output diff for Mean opJohan Alfvén
Fixed three test cases causing output diff compared to the reference kernel for the Mean operator. - If there is a possibility that the accumulator could saturate the Mean op must run CPU - Use correct rounding for the bias term - If a Reshape op is followed by a Mean op, push the Reshape op to the CPU since this cannot be handled by the NPU Signed-off-by: Johan Alfven <johan.alfven@arm.com> Change-Id: I734465730372105821a5e2f73a6a125b9eb7d7f4
2022-08-31MLBEDSW-6832 PReLU support in VelaFredrik Svedberg
Added PReLU support in graph optimiser. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: I3a188675e3edcdf0b4a4bfcdd134fda0bf8a560f
2022-07-23MLBEDSW-4157: Add RESIZE_NEAREST_NEIGHBOR supportTim Hall
- Changed ResizeBilinear to support ResizeNearestNeighbor as well for 1x1 IFM, IFM equal OFM, and non-align corners - Added support for ResizeNearestNeighbor with align corners by converting to a DepthwiseConv - Updated supported operator unit tests - Added is_resize() helper function and some associated refactoring Signed-off-by: Tim Hall <tim.hall@arm.com> Change-Id: Id5bdf2a25e8aa6a4f28b7236250abf768141ce37
2022-07-23MLBEDSW-6616: ResizeBilinear align corners is incorrectTim Hall
- Fixed align corners support when converting in to upscale and average pool. The problem was due to the wrong ratio ifm to ofm size, causing an scaling factor that was not 2x/4x/8x. Works for uint8, int8 and int16. - Fixed checking of align corners in supported operators check - Added additional supported operators check for the size tensor - Updated and added more supported operators unit tests Signed-off-by: Tim Hall <tim.hall@arm.com> Change-Id: Idb78fa9e76ede2c37e8ac6cb1c322154bd156898
2022-07-15MLBEDSW-6703 Add SHAPE operator to supported operatorsFredrik Svedberg
Added SHAPE operator to the supported operators report. Updated the constraints for QUANTIZE and SHAPE operator. Also fixed RESHAPE consuming statically optimised shape. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: I1d964d602d3f361a0f16dae8133197280dd84c48
2022-07-13MLBEDSW-6687 Vela crashes in npu_serialisation.py and tflite_graph_optimiser.pyFredrik Svedberg
Fixed static optimisation of Quantize operator by running unsupported formats on CPU. Also added support for int16 and corrected the calculation. Change-Id: I861c712aa6258dba53fcf4d5dae45d1d416e6141 Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
2022-06-29MLBEDSW-6314 Static optimisation for quantise OPAyaan Masood
*Quantise op becomes constant if input is known at compile time *Quantised values calculated if input of op is const and float *Const inputs to quant op that are int are requantized Change-Id: Ic94a72a392af709fe6a640d7dacbb5dc2334f16f Signed-off-by: Ayaan Masood <Ayaan.Masood@arm.com>
2022-06-29MLBEDSW-6313 Static optimisation for Shape OPAyaan Masood
*Shape OP value is available at compile time hence it can be optimised *Disconnected shape OP at compile time from parent tensor *Transformed shape OP tensor into constant Change-Id: I0a024269e2b592c6146dd72e62d7a41951fb727a Signed-off-by: Ayaan Masood <Ayaan.Masood@arm.com>
2022-04-21MLBEDSW-5384 FC layers run on NPU if underlying shape is 2DAyaan Masood
*Added generic function which checks if underlying shape of FullyConnected operation is 2D and performs shape reduction *Fully connected operation >2 dimensions now run on NPU if the above case is satisfied *constraint_fc_output_2d and rewrite_fully_connected_input refactored *Added unit test to confirm this functionality Signed-off-by: Ayaan Masood <Ayaan.Masood@arm.com> Change-Id: I0e29c767e5b84841eb53bbc44464b36a454f7b38
2022-04-20MLBEDSW-6407: Vela fails with TypeError in npu_performanceTim Hall
- This is due to calling range() on a non-integer value which in turn is due to a change in the behaviour of round() on numpy.float64 values - The fix is to always force the output of the round() to be an integer and thereby stop whole number floating point values propagating into the kernel dimensions which later feed into the range(). Signed-off-by: Tim Hall <tim.hall@arm.com> Change-Id: Ic75cb6ba85a90c81c1d762067d89a10caaa13b92
2022-03-30Update version of Black to 22.3.0Jonas Ohlsson
Update version of Black to 22.3.0 due to updated dependencies. Updates to fix reported issues due to new version. Signed-off-by: Jonas Ohlsson <jonas.ohlsson@arm.com> Change-Id: I60056aae452093ce8dcea1f499ecced22b25eef1
2022-03-21MLBEDSW-6298: MLCE: Unable to find a valid block configTim Hall
- Fixed a bug due to ResizeBilinear modifying the attributes of a shared IFM - The ifm_resampling_mode is now an attribute of an operator rather than a tensor - Changed all calls to try_block_config() to use the attribute rather than recalculating it in multiple places Signed-off-by: Tim Hall <tim.hall@arm.com> Change-Id: I4641e9cd6b049bd4186776d98e3e751c5e5bcc06
2022-03-17MLBEDSW-5332: Bug fix optimise_strided_convLouis Verhaard
Added check that horizontal padding is unaffected when applying graph optimization "optimise_strided_conv". Signed-off-by: Louis Verhaard <louis.verhaard@arm.com> Change-Id: I7032a44163e300cdf62cf615b4b10a1417e38eaa
2022-03-11Vela: Fix diff in mean opDiqing Zhong
- Extend ifm/ofm dimensions explicitly in mean op This fix a bug when ifm/ofm shape has different dimensions e.g. IFM=1x19x18x25 axis=2 OFM=1x19x25, the ofm_shape should be 1x19x1x25, not 1x1x19x25 - Fix wrong weight shape Change-Id: I269eb71ea56c09deee2aa6c6433d9b2baa98a113 Signed-off-by: Diqing Zhong <diqing.zhong@arm.com>
2022-02-24MLBEDSW-6247: MLCE: Issue when running a model with PaddingTim Hall
- The bug is that TransposeConv does not support explicit padding which is needed in order to combine it with a proceeding Pad op - The fix is to exclude such combination Signed-off-by: Tim Hall <tim.hall@arm.com> Change-Id: Ide03d034dc32b5fc9bcaaf291ab713482223a042
2022-02-02MLBEDSW-3623: Diff on semantic_segmentationRickard Bolin
The root cause of this diff is precision errors caused by rounding several times when performing a resize bilinear upscaling to more than twice the initial size. This is solved by rewriting the algorithm to perform nearest neighbour upscaling to the correct size and then applying one larger average pool instead of several 2x2 pools. Avgpool with padding is limited to kernel size 8x8, which constraints the largest possible bilinear upscaling to 8 times the input size. Signed-off-by: Rickard Bolin <rickard.bolin@arm.com> Change-Id: I846232f309ba26aab6c385e593cbe25b646c6668
2021-12-20MLBEDSW-5844: Inconsistent calculation of read shapesTim Hall
- This bug causes a regression in the use of unpack and split operators - The bug is due to the read_shapes attribute being an absolute calculation for slice and strided_slice, but a relative one for unpack and split - The fix is to consistently treat the attribute as a shape relative to the read_offset Signed-off-by: Tim Hall <tim.hall@arm.com> Change-Id: I4504b161be507ea22ca6ee40fbe7808bfe049405
2021-12-16MLBEDSW-5554: Place MEAN op exceeding max height with axis==1 on CPURickard Bolin
Signed-off-by: Rickard Bolin <rickard.bolin@arm.com> Change-Id: I87dc5963972a7ef91db467b2ff8e0261e9899372
2021-11-05MLBEDSW-5209 Vela: output diff depthwise with non-zero zero pointsFredrik Svedberg
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
2021-10-28MLBEDSW-5440 MLCE: Vela crashing due to mismatch in padding shape in OFMJames Ward
Change convert_pad optimiser to use op.ifm_shapes attribute in place of the fickle op.ifm.shape (which in this case had changed due to the optimised-out reshape) Signed-off-by: James Ward <james.ward@arm.com> Change-Id: I13fbd846ac8d3342afd7844d1041cfa15aaae124
2021-10-13MLBEDSW-5315 MLCE: Vela to handle skip TensorFredrik Svedberg
Removed graph optimizations no longer needed that caused problems with FullyConnected operators running on CPU being consumed by elementwise operators in Vela. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: Ic7e66141ccd5e9aa8f0022c5ab9e7fd1ba3f6786
2021-09-15TOSA: Support for TABLE operator (int8)Patrik Gustavsson
Added support to map TABLE operator to LUT. Limitations: -Only supported for int8 -TABLE input must be constant This also adds the support for TFLite legalisation of Tanh/Sigmoid (int8/uint8). Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com> Change-Id: I1a95f61fb02fdd42c4a690494418cc0765c8b275
2021-09-15MLBEDSW-5102 Update removal of memory only operatorsJonas Ohlsson
Memory only operators such as Reshape, Squeeze and ExpandDims are removed in the graph optimiser step. - Added semantic check that memory only operators have same quantisation parameters on ifm/ofm. - Added support for the ExpandDims operator. - Addition and cleanup of related unit tests. - Removed TOSA from the generated SUPPORTED_OPS.md documentation. Signed-off-by: Jonas Ohlsson <jonas.ohlsson@arm.com> Change-Id: If848d8afc58c18806e10997ed94e4dae83f30879
2021-09-15MLBEDSW-5052 Fix RELU scalingFredrik Svedberg
Fixed scaling for RELUs with different IFM/OFM scaling. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: I0ac96326b3960c0fb025b885e06a259d24b2e684
2021-09-07TOSA: Added RESHAPE, SLICE and CONCATPatrik Gustavsson
Added support for Data layout ops RESHAPE, SLICE and CONCAT. -No support for bool_t -Support limited to Rank <= 4 and N = 1 Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com> Change-Id: I487ac494b6506a2a6ba947ee758aa193194dd796
2021-09-03TOSA: Added Depthwise supportPatrik Gustavsson
This is mainly to add support for depthwise conv2d with dephmultiplier = 1. (But there are no testcases suited, all I have sourced has depth_multiplier set to 2, which is not supported.) -Added support for depthwise conv2d. -Added support for removing Transpose of constant data -Added support for removing reshape Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com> Change-Id: I143e6246becfa78fd9f7510af0bf0d6b3fbbf2c7
2021-09-03MLBEDSW-5056 Output diff wav2letter (int16)Fredrik Svedberg
Fixed output diff for wav2letter int16 by correcting the scaling used for LeakyRelu. Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com> Change-Id: I8be1e14c25d223dc6e42c4ec498ff4d3d9de65d7
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