[TFLite] add support for float16#7093
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tqchen merged 5 commits intoapache:mainfrom Dec 21, 2020
euntaik:tflite-float16
Merged
[TFLite] add support for float16#7093tqchen merged 5 commits intoapache:mainfrom euntaik:tflite-float16
tqchen merged 5 commits intoapache:mainfrom
euntaik:tflite-float16
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It would be nice to supply testing. |
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I've added a test. |
giuseros
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Dec 14, 2020
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Is there something else I should fix or change? |
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giuseros
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Dec 18, 2020
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I would just add the comments in the frontend code, and then it is good to go
giuseros
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Thanks @euntaik ! This LGTM now. @FrozenGene , please feel free to merge if it's ok for you as well
FrozenGene
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Dec 18, 2020
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Thanks @euntaik @giuseros @FrozenGene ! |
masahi
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Dec 24, 2020
* [TFLite] add support for float16 * add testi case * add test case * add comments
TusharKanekiDey
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Jan 20, 2021
* [TFLite] add support for float16 * add testi case * add test case * add comments
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Jan 21, 2021
* [TFLite] add support for float16 * add testi case * add test case * add comments
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Feb 18, 2021
* [TFLite] add support for float16 * add testi case * add test case * add comments
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Add support for float16
TFLite converts float32 models to float16 models by introducing a Dequantize op in every op that contains a float32 values (weights, biases, and constants etc. ).
So conv2d op should account for the weights and bias as an input tensor instead of a weight value attached to itself.