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Diffstat (limited to 'src/armnnTfLiteParser')
-rw-r--r-- | src/armnnTfLiteParser/README.md | 5 | ||||
-rw-r--r-- | src/armnnTfLiteParser/TensorFlowLiteSupport.md | 129 |
2 files changed, 3 insertions, 131 deletions
diff --git a/src/armnnTfLiteParser/README.md b/src/armnnTfLiteParser/README.md index 5e76a9cfe0..b2b1ac0237 100644 --- a/src/armnnTfLiteParser/README.md +++ b/src/armnnTfLiteParser/README.md @@ -3,5 +3,6 @@ `armnnTfLiteParser` is a library for loading neural networks defined by TensorFlow Lite FlatBuffers files into the Arm NN runtime. -For more information about the TensorFlow Lite operators that are supported, and the networks that have been tested, -see [TensorFlowLiteSupport.md](./TensorFlowLiteSupport.md). +For more information, a list of supported TensorFlow Lite layers, and the networks that have been tested, +please visit "Software Tools" -> "Parsers" -> "Arm NN Tf Lite Parser" in our doxygen documentation that can be found in +the [wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) of our github repository. diff --git a/src/armnnTfLiteParser/TensorFlowLiteSupport.md b/src/armnnTfLiteParser/TensorFlowLiteSupport.md deleted file mode 100644 index 16663c986c..0000000000 --- a/src/armnnTfLiteParser/TensorFlowLiteSupport.md +++ /dev/null @@ -1,129 +0,0 @@ -# TensorFlow Lite operators that the Arm NN SDK supports - -This reference guide provides a list of TensorFlow Lite operators the Arm NN SDK currently supports. - -## Fully supported - -The Arm NN SDK TensorFlow Lite parser currently supports the following operators: - -* ADD - -* AVERAGE_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE - -* BATCH_TO_SPACE - -* CONCATENATION, Supported Fused Activation: RELU , RELU6 , TANH, NONE - -* CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE - -* DEPTH_TO_SPACE - -* DEPTHWISE_CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE - -* DEQUANTIZE - -* DIV - -* ELU - -* EXP - -* FULLY_CONNECTED, Supported Fused Activation: RELU , RELU6 , TANH, NONE - -* GATHER - -* HARD_SWISH - -* LEAKY_RELU - -* LOGISTIC - -* L2_NORMALIZATION - -* MAX_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE - -* MAXIMUM - -* MEAN - -* MINIMUM - -* MUL - -* NEG - -* PACK - -* PAD - -* QUANTIZE - -* RELU - -* RELU6 - -* RESHAPE - -* RESIZE_BILINEAR - -* RESIZE_NEAREST_NEIGHBOR - -* SLICE - -* SOFTMAX - -* SPACE_TO_BATCH - -* SPLIT - -* SPLIT_V - -* SQUEEZE - -* STRIDED_SLICE - -* SUB - -* TANH - -* TRANSPOSE - -* TRANSPOSE_CONV - -* UNPACK - -## Custom Operator - -* TFLite_Detection_PostProcess - -## Tested networks - -Arm tested these operators with the following TensorFlow Lite neural network: - -* [Quantized MobileNet](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224_quant.tgz) - -* [Quantized SSD MobileNet](http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_quantized_300x300_coco14_sync_2018_07_18.tar.gz) - -* DeepSpeech v1 converted from [TensorFlow model](https://github.com/mozilla/DeepSpeech/releases/tag/v0.4.1) - -* DeepSpeaker - -* [DeepLab v3+](https://www.tensorflow.org/lite/models/segmentation/overview) - -* FSRCNN - -* EfficientNet-lite - -* RDN converted from [TensorFlow model](https://github.com/hengchuan/RDN-TensorFlow) - -* Quantized RDN (CpuRef) - -* [Quantized Inception v3](http://download.tensorflow.org/models/tflite_11_05_08/inception_v3_quant.tgz) - -* [Quantized Inception v4](http://download.tensorflow.org/models/inception_v4_299_quant_20181026.tgz) (CpuRef) - -* Quantized ResNet v2 50 (CpuRef) - -* Quantized Yolo v3 (CpuRef) - -More machine learning operators will be supported in future releases. |