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IVGCVSW-4787 Update NNAPISupport.txt for 20.05
Signed-off-by: Teresa Charlin <[email protected]> Change-Id: I8c496346ccdcfc6ed6cfe2ba08edf5779beb0b69
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| Original file line number | Diff line number | Diff line change |
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| @@ -1,7 +1,8 @@ | ||
| ------ ArmNN for Android NNAPI supported operations ------ | ||
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| This release of ArmNN for Android supports use as a driver for the Android Neural Networks API. It implements the | ||
| [email protected], [email protected] and [email protected] | ||
| [email protected], [email protected], [email protected] and | ||
| [email protected] | ||
| HAL interfaces. | ||
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| For more information on the Android Neural Networks API, see https://developer.android.com/ndk/guides/neuralnetworks/index.html | ||
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@@ -10,71 +11,76 @@ For integration and usage documentation, please see README.md. | |
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| --- Support for Android Neural Networks HAL operations --- | ||
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| The following AndroidNN HAL 1.0, 1.1 and 1.2 operations are currently supported: | ||
| The following AndroidNN HAL 1.0, 1.1, 1.2 and 1.3 operations are currently supported: | ||
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| AndroidNN operator Tensor type supported | ||
| ABS (FLOAT32) | ||
| ADD (FLOAT32, QUANT8_ASYMM) | ||
| ARGMAX (FLOAT32, QUANT8_ASYMM) | ||
| ARGMIN (FLOAT32, QUANT8_ASYMM) | ||
| AVERAGE_POOL_2D (FLOAT32, QUANT8_ASYMM) | ||
| BATCH_TO_SPACE_ND (FLOAT32, QUANT8_ASYMM) | ||
| CONCATENATION (FLOAT32, FLOAT16, QUANT8_ASYMM) | ||
| CONV_2D (FLOAT32, QUANT8_ASYMM) | ||
| DEPTH_TO_SPACE (FLOAT32, FLOAT16, QUANT8_ASYMM) | ||
| DEPTHWISE_CONV_2D (FLOAT32, QUANT8_ASYMM) | ||
| DEQUANTIZE (FLOAT32 (output only), QUANT8_ASYMM (input only)) | ||
| ADD (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| ARGMAX (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| ARGMIN (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| AVERAGE_POOL_2D (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| BATCH_TO_SPACE_ND (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| CONCATENATION (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| CONV_2D (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| DEPTH_TO_SPACE (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| DEPTHWISE_CONV_2D (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| DEQUANTIZE (FLOAT32 (output only), QUANT8_ASYMM and QUANT8_ASYMM_SIGNED (input only)) | ||
| DIV (FLOAT32, QUANT8_ASYMM) | ||
| ELU (FLOAT32, QUANT8_ASYMM) | ||
| EQUAL (FLOAT32, QUANT8_ASYMM) | ||
| EXPAND_DIMS (FLOAT32, FLOAT16, QUANT8_ASYMM) | ||
| EQUAL (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| EXPAND_DIMS (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| FLOOR (FLOAT32) | ||
| FULLY_CONNECTED (FLOAT32, QUANT8_ASYMM) | ||
| GREATER (FLOAT32, QUANT8_ASYMM) | ||
| GREATER_EQUAL (FLOAT32, QUANT8_ASYMM) | ||
| GROUPED_CONV_2D (FLOAT32, QUANT8_ASYMM) | ||
| HARD_SWISH (FLOAT32, QUANT8_ASYMM) | ||
| FULLY_CONNECTED (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| GREATER (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| GREATER_EQUAL (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| GROUPED_CONV_2D (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| HARD_SWISH (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| INSTANCE_NORMALIZATION (FLOAT32) | ||
| L2_NORMALIZATION (FLOAT32) | ||
| L2_POOL_2D (FLOAT32, QUANT8_ASYMM) | ||
| LESS (FLOAT32, QUANT8_ASYMM) | ||
| LESS_EQUAL (FLOAT32, QUANT8_ASYMM) | ||
| LESS (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| LESS_EQUAL (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| LOCAL_RESPONSE_NORMALIZATION (FLOAT32) | ||
| LOGISTIC (FLOAT32, QUANT8_ASYMM) | ||
| LOGISTIC (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| LOG_SOFTMAX (FLOAT32) | ||
| LSTM (FLOAT32) | ||
| MAXIMUM (FLOAT32, QUANT8_ASYMM) | ||
| MAX_POOL_2D (FLOAT32, QUANT8_ASYMM) | ||
| MEAN (FLOAT32, QUANT8_ASYMM) | ||
| MINIMUM (FLOAT32, QUANT8_ASYMM) | ||
| MUL (FLOAT32, QUANT8_ASYMM) | ||
| NOT_EQUAL (FLOAT32, QUANT8_ASYMM) | ||
| PAD (FLOAT32, FLOAT16, QUANT8_ASYMM) | ||
| MAXIMUM (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| MAX_POOL_2D (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| MEAN (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| MINIMUM (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| MUL (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| NEG (FLOAT32) | ||
| NOT_EQUAL (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| PAD (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| PAD_V2 (FLOAT32, FLOAT16, QUANT8_ASYMM) | ||
| PRELU (FLOAT32, QUANT8_ASYMM) | ||
| QUANTIZE (FLOAT32 (input only), QUANT8_ASYMM (output only)) | ||
| PRELU (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| QUANTIZE (FLOAT32 (input only), QUANT8_ASYMM and QUANT8_ASYMM_SIGNED (output only)) | ||
| QUANTIZED_16BIT_LSTM (QUANT8_ASYMM) | ||
| QUANTIZED_LSTM (QUANT8_ASYMM) | ||
| RELU (FLOAT32, QUANT8_ASYMM) | ||
| RELU1 (FLOAT32, QUANT8_ASYMM) | ||
| RELU6 (FLOAT32, QUANT8_ASYMM) | ||
| RESHAPE (FLOAT32, FLOAT16, QUANT8_ASYMM) | ||
| RELU (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| RELU1 (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| RELU6 (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| RESHAPE (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| RESIZE_BILINEAR (FLOAT32, QUANT8_ASYMM) | ||
| RESIZE_NEAREST_NEIGHBOR (FLOAT32, QUANT8_ASYMM) | ||
| RSQRT (FLOAT32) | ||
| SOFTMAX (FLOAT32, QUANT8_ASYMM) | ||
| SPACE_TO_BATCH_ND (FLOAT32, QUANT8_ASYMM) | ||
| SPACE_TO_DEPTH (FLOAT32, FLOAT16, QUANT8_ASYMM) | ||
| SOFTMAX (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| SPACE_TO_BATCH_ND (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| SPACE_TO_DEPTH (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| SQRT (FLOAT32) | ||
| SQUEEZE (FLOAT32, FLOAT16, QUANT8_ASYMM) | ||
| STRIDED_SLICE (FLOAT32, QUANT8_ASYMM) | ||
| SUB (FLOAT32, QUANT8_ASYMM) | ||
| TANH (FLOAT32, QUANT8_ASYMM) | ||
| TRANSPOSE (FLOAT32, QUANT8_ASYMM) | ||
| TRANSPOSE_CONV_2D (FLOAT32, QUANT8_ASYMM) | ||
| SQUEEZE (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| STRIDED_SLICE (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| SUB (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| TANH (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| TRANSPOSE (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
| TRANSPOSE_CONV_2D (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED) | ||
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| Where operations are not supported by the ArmNN Android NN Driver, the driver indicates this to the framework | ||
| appropriately and the framework implements those operations using a CPU implementation. | ||
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| NOTE: By convention, only those tensor types have been listed above, which are fully supported across all | ||
| ArmNN backends. FLOAT16 input tensors are partially supported on most HAL 1.2 operators on the GpuAcc and | ||
| CpuRef backends, however not on CpuAcc. | ||
| ArmNN backends. | ||
| - FLOAT16 input tensors are partially supported on most HAL 1.2 operators on the GpuAcc and | ||
| CpuRef backends, however not on CpuAcc. | ||
| - QUANT8_ASYMM_SIGNED has been added to the list in spite of not being supported in GpuAcc, | ||
| as this data type was added as part of HAL 1.3, which is currently not supported by GpuAcc. | ||