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[IE][VPU]: Mish decomposition #3411

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Maxim-Doronin
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Introduce vpu ngraph transformation that decomposes Mish layer with the following formula: mish(x) = x * tanh(ln(exp(x) + 1)). It is needed to fix the accuracy drop of Yolo-v4 public model that happened due to Mish implementation in the myriad plugin is not accurate enough. It is just a workaround and will be removed when Mish layer will be improved.
map: 70.97% (ref: 70.96%)
coco_precision: 73.50% (ref 73.49%)

Task

#-40294

CI

not needed to trigger internal VPU CI because Mish functional tests are run in github pre-commit

@Maxim-Doronin Maxim-Doronin force-pushed the vpu/md/mish_decomposition branch from 0cf7f17 to 16c9c2b Compare November 30, 2020 12:01
@Maxim-Doronin Maxim-Doronin merged commit 0a0d854 into openvinotoolkit:master Nov 30, 2020
evolosen pushed a commit to evolosen/openvino that referenced this pull request Dec 3, 2020
Introduce vpu ngraph transformation that decomposes Mish layer with the following formula: mish(x) = x * tanh(ln(exp(x) + 1)). It is needed to fix the accuracy drop of Yolo-v4 public model that happened due to Mish implementation in the myriad plugin is not accurate enough. It is just a workaround and will be removed when Mish layer will be improved.
map: 70.97% (ref: 70.96%)
coco_precision: 73.50% (ref 73.49%)
mryzhov pushed a commit to mryzhov/openvino that referenced this pull request Dec 11, 2020
Introduce vpu ngraph transformation that decomposes Mish layer with the following formula: mish(x) = x * tanh(ln(exp(x) + 1)). It is needed to fix the accuracy drop of Yolo-v4 public model that happened due to Mish implementation in the myriad plugin is not accurate enough. It is just a workaround and will be removed when Mish layer will be improved.
map: 70.97% (ref: 70.96%)
coco_precision: 73.50% (ref 73.49%)
mryzhov pushed a commit to mryzhov/openvino that referenced this pull request Dec 16, 2020
Introduce vpu ngraph transformation that decomposes Mish layer with the following formula: mish(x) = x * tanh(ln(exp(x) + 1)). It is needed to fix the accuracy drop of Yolo-v4 public model that happened due to Mish implementation in the myriad plugin is not accurate enough. It is just a workaround and will be removed when Mish layer will be improved.
map: 70.97% (ref: 70.96%)
coco_precision: 73.50% (ref 73.49%)
mryzhov pushed a commit to mryzhov/openvino that referenced this pull request Jan 14, 2021
Introduce vpu ngraph transformation that decomposes Mish layer with the following formula: mish(x) = x * tanh(ln(exp(x) + 1)). It is needed to fix the accuracy drop of Yolo-v4 public model that happened due to Mish implementation in the myriad plugin is not accurate enough. It is just a workaround and will be removed when Mish layer will be improved.
map: 70.97% (ref: 70.96%)
coco_precision: 73.50% (ref 73.49%)
jiwaszki pushed a commit to akuporos/openvino that referenced this pull request Jan 15, 2021
Introduce vpu ngraph transformation that decomposes Mish layer with the following formula: mish(x) = x * tanh(ln(exp(x) + 1)). It is needed to fix the accuracy drop of Yolo-v4 public model that happened due to Mish implementation in the myriad plugin is not accurate enough. It is just a workaround and will be removed when Mish layer will be improved.
map: 70.97% (ref: 70.96%)
coco_precision: 73.50% (ref 73.49%)
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3 participants