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[Frontend][TFlite] Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softma...
authorIna Dobreva <55383260+inadob@users.noreply.github.com>
Tue, 16 Jun 2020 17:16:26 +0000 (20:16 +0300)
committerGitHub <noreply@github.com>
Tue, 16 Jun 2020 17:16:26 +0000 (10:16 -0700)
commit52bf113650ef35929fba85fc73802b233dadb2d2
tree94294049d0e7abaf5d0e9f98bc230a2bb0bc4b17tree | snapshot
parent99483678a059d925b3581bccf0101104afff08cccommit | diff
[Frontend][TFlite] Add parser support for relu6, leaky_relu, relu_n1_to_1, log_softmax (#4805)

* [Frontend][TFLite]Add support for relu6, leaky_relu, relu_n1_to_1, log_softmax

* add implementation in parser
* add qnn tests for each operator

* Implement clip operation for quantized relu6, relu1

* add 'clip' as in the quantized fused operations
* remove redundant assertions and imports

* Fix floating value quantization for RELU6 and RELU1
python/tvm/relay/frontend/tflite.py diff | blob | history
tests/python/frontend/tflite/test_forward.py diff | blob | history
Domain: Machine Learning / ML Framework;