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author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2019-11-27 12:55:21 +0000 |
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committer | Teresa Charlin <teresa.charlinreyes@arm.com> | 2019-11-27 12:55:21 +0000 |
commit | e9eeb205d4282ca49a311aee3d2180bba2772a55 (patch) | |
tree | a2a2d2a07c11654e00bae86b259840cd6718b49e | |
parent | 493e9b7dd093c998f955233638491bb3c18ddf5d (diff) | |
download | android-nn-driver-e9eeb205d4282ca49a311aee3d2180bba2772a55.tar.gz |
IVGCVSW-4204 Review NNAPISupport.txt for 19.11
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I56959a6fd296781d4604c55179471299c321153e
-rw-r--r-- | NnapiSupport.txt | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/NnapiSupport.txt b/NnapiSupport.txt index 3cd85cbe..169a869b 100644 --- a/NnapiSupport.txt +++ b/NnapiSupport.txt @@ -17,10 +17,10 @@ ABS (FLOAT32) ADD (FLOAT32, QUANT8_ASYMM) AVERAGE_POOL_2D (FLOAT32, QUANT8_ASYMM) BATCH_TO_SPACE_ND (FLOAT32, QUANT8_ASYMM) -CONCATENATION (FLOAT32, QUANT8_ASYMM) -CONV_2D (FLOAT32, QUANT8_ASYMM, QUANT8_SYMM_PER_CHANNEL(only for weights)) +CONCATENATION (FLOAT32, FLOAT16, QUANT8_ASYMM) +CONV_2D (FLOAT32, QUANT8_ASYMM) DEPTH_TO_SPACE (FLOAT32, FLOAT16, QUANT8_ASYMM) -DEPTHWISE_CONV_2D (FLOAT32, QUANT8_ASYMM, QUANT8_SYMM_PER_CHANNEL(only for weights)) +DEPTHWISE_CONV_2D (FLOAT32, QUANT8_ASYMM) DEQUANTIZE (FLOAT32 (output only), QUANT8_ASYMM (input only)) DIV (FLOAT32, QUANT8_ASYMM) EQUAL (FLOAT32, QUANT8_ASYMM) @@ -29,7 +29,7 @@ FLOOR (FLOAT32) FULLY_CONNECTED (FLOAT32, QUANT8_ASYMM) GREATER (FLOAT32, QUANT8_ASYMM) GREATER_EQUAL (FLOAT32, QUANT8_ASYMM) -GROUPED_CONV_2D (FLOAT32, QUANT8_ASYMM, QUANT8_SYMM_PER_CHANNEL(only for weights)) +GROUPED_CONV_2D (FLOAT32, QUANT8_ASYMM) INSTANCE_NORMALIZATION (FLOAT32) L2_NORMALIZATION (FLOAT32) L2_POOL_2D (FLOAT32, QUANT8_ASYMM) @@ -45,28 +45,28 @@ MEAN (FLOAT32, QUANT8_ASYMM) MINIMUM (FLOAT32, QUANT8_ASYMM) MUL (FLOAT32, QUANT8_ASYMM) NOT_EQUAL (FLOAT32, QUANT8_ASYMM) -PAD (FLOAT32, QUANT8_ASYMM) -PAD_V2 (FLOAT32, QUANT8_ASYMM) +PAD (FLOAT32, FLOAT16, QUANT8_ASYMM) +PAD_V2 (FLOAT32, FLOAT16, QUANT8_ASYMM) PRELU (FLOAT32, QUANT8_ASYMM) QUANTIZE (FLOAT32 (input only), QUANT8_ASYMM (output only)) QUANTIZED_16BIT_LSTM (QUANT8_ASYMM) RELU (FLOAT32, QUANT8_ASYMM) RELU1 (FLOAT32, QUANT8_ASYMM) RELU6 (FLOAT32, QUANT8_ASYMM) -RESHAPE (FLOAT32, QUANT8_ASYMM) +RESHAPE (FLOAT32, FLOAT16, QUANT8_ASYMM) 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, QUANT8_ASYMM) +SPACE_TO_DEPTH (FLOAT32, FLOAT16, QUANT8_ASYMM) SQRT (FLOAT32) -SQUEEZE (FLOAT32, QUANT8_ASYMM) +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,QUANT8_SYMM_PER_CHANNEL(only for weights)) +TRANSPOSE_CONV_2D (FLOAT32, QUANT8_ASYMM) 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. |