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| author | Johan Alfven <johan.alfven@arm.com> | 2023-04-24 13:35:40 +0200 |
|---|---|---|
| committer | Rickard Bolin <rickard.bolin@arm.com> | 2023-05-02 11:03:37 +0000 |
| commit | ce5027328d2330d33bdfc5d5b016d171e4f8a2fc (patch) | |
| tree | 16528c451c430d14d3221bfe968e94a54c6af33a /SUPPORTED_OPS.md | |
| parent | 463f74b2ed65753811ddf7460e760aaf983ef5bb (diff) | |
| download | ethos-u-vela-ce5027328d2330d33bdfc5d5b016d171e4f8a2fc.tar.gz | |
MLBEDSW-2082: Add Exp support
- Added int8 and int16 Exp support, implemented as LUT.
- Added generic 8bit and 16bit LUT table functions following
the implementation in the latest reference. If new ops are added
by the reference, they can easily be implemented in Vela using
the generic functions.
- Moved convert_to_lut to lut.py to have all LUT related code in
one file.
- Updated SUPPORTED_OPS.md
Change-Id: I388e76ea4b39162313599a5341cfb9bad71a782c
Signed-off-by: Johan Alfven <johan.alfven@arm.com>
Diffstat (limited to 'SUPPORTED_OPS.md')
| -rw-r--r-- | SUPPORTED_OPS.md | 12 |
1 files changed, 11 insertions, 1 deletions
diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md index ab9b0096..80647f84 100644 --- a/SUPPORTED_OPS.md +++ b/SUPPORTED_OPS.md @@ -1,7 +1,7 @@ # Supported Ops This file was automatically generated by Vela using the `--supported-ops-report` parameter. -Vela version: `3.7.1.dev17+g7b3008a.d20230420` +Vela version: `3.7.1.dev23+g3734897.d20230427` This file complies with [**Gitiles Markdown syntax**](https://github.com/google/gitiles/blob/master/Documentation/markdown.md) @@ -25,6 +25,7 @@ Please check the supported operator list for your chosen runtime for further inf | CONCATENATION | [Generic](#tflite-generic-constraints), [Specific](#tflite-concatenation-constraints) | | CONV_2D | [Generic](#tflite-generic-constraints), [Specific](#tflite-conv_2d-constraints) | | DEPTHWISE_CONV_2D | [Generic](#tflite-generic-constraints), [Specific](#tflite-depthwise_conv_2d-constraints) | +| EXP | [Generic](#tflite-generic-constraints), [Specific](#tflite-exp-constraints) | | EXPAND_DIMS | [Generic](#tflite-generic-constraints), [Specific](#tflite-expand_dims-constraints) | | FULLY_CONNECTED | [Generic](#tflite-generic-constraints), [Specific](#tflite-fully_connected-constraints) | | HARD_SWISH | [Generic](#tflite-generic-constraints), [Specific](#tflite-hard_swish-constraints) | @@ -63,6 +64,7 @@ Please check the supported operator list for your chosen runtime for further inf This is a list of constraints most NPU operators must satisfy in order to be scheduled on the NPU. (Operators excluded from certain constraints are shown in brackets [ ] ) +- All required operator attributes must be specified - Input(s) and Output tensors must not be dynamic - [QUANTIZE] - Input(s) and Output tensors must have a defined shape - Output tensors cannot be scalar - [QUANTIZE] @@ -161,6 +163,14 @@ This is a list of constraints that the DEPTHWISE_CONV_2D operator must satisfy i - Stride values for both width and height must be between 1 and 3 - For depth multipliers > 1, IFM channels must be 1 and OFM channels must be equal to the depth multiplier +### TFLite EXP Constraints + +This is a list of constraints that the EXP operator must satisfy in order to be scheduled on the NPU. + +- At least one Input's shape must match the OFM's shape +- IFM and OFM data types must match +- IFM must be int8 or int16 + ### TFLite EXPAND_DIMS Constraints This is a list of constraints that the EXPAND_DIMS operator must satisfy in order to be scheduled on the NPU. |