tequilaOS/platform_hardware_interfaces
2
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

Add TENSOR_QUANT8_ASYMM_SIGNED support for pooling ops

Browse source 
* Update AVERAGE_POOL_2D and MAX_POOL_2D

Bug: 143934716
Bug: 143934303
Test: quantization coupling tests in CTS and VTS
Change-Id: I15f36d6f819c92f96a46c40f9cc1491627644278
This commit is contained in:
Lev Proleev 2019-11-20 13:55:16 +00:00
parent 122bc2c0cc
commit 3f17cc3daa
2 changed files with 7 additions and 3 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

2
current.txt
View file

@ -602,7 +602,7 @@ a3eddd9bbdc87e8c22764070037dd1154f1cf006e6fba93364c4f85d4c134a19 android.hardwar
9e59fffceed0dd72a9799e04505db5f777bbbea1af0695ba4107ef6d967c6fda android.hardware.neuralnetworks@1.3::IDevice
4a6c3b3556da951b4def21ba579a227c022980fe4465df6cdfbe20628fa75f5a android.hardware.neuralnetworks@1.3::IPreparedModel
94e803236398bed1febb11cc21051bc42ec003700139b099d6c479e02a7ca3c3 android.hardware.neuralnetworks@1.3::IPreparedModelCallback
103cb87c5ed46851badac097f8d190da60f39b5ab32d60e2e93f64d3014ea75c android.hardware.neuralnetworks@1.3::types
6256b2b1df586fc01e80ecf001770d941385602682ec2055ba7b3979a02c8ebf android.hardware.neuralnetworks@1.3::types
3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi
a64467bae843569f0d465c5be7f0c7a5b987985b55a3ef4794dd5afc68538650 android.hardware.wifi.supplicant@1.3::ISupplicant
44445b8a03d7b9e68b2fbd954672c18a8fce9e32851b0692f4f4ab3407f86ecb android.hardware.wifi.supplicant@1.3::ISupplicantStaIface

8
neuralnetworks/1.3/types.hal
View file

@ -149,6 +149,7 @@ enum OperationType : int32_t {
* * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
* * {@link OperandType::TENSOR_FLOAT32}
* * {@link OperandType::TENSOR_QUANT8_ASYMM}
* * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
*
* Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
* With the default data layout NHWC, the data is stored in the order of:
@ -210,7 +211,8 @@ enum OperationType : int32_t {
* Outputs:
* * 0: The output 4-D tensor, of shape
* [batches, out_height, out_width, depth].
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* the scale and zeroPoint must be the same as input0.
*/
AVERAGE_POOL_2D = @1.2::OperationType:AVERAGE_POOL_2D,
@ -1259,6 +1261,7 @@ enum OperationType : int32_t {
* * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
* * {@link OperandType::TENSOR_FLOAT32}
* * {@link OperandType::TENSOR_QUANT8_ASYMM}
* * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
*
* Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
* With the default data layout NHWC, the data is stored in the order of:
@ -1320,7 +1323,8 @@ enum OperationType : int32_t {
* Outputs:
* * 0: The output 4-D tensor, of shape
* [batches, out_height, out_width, depth].
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* the scale and zeroPoint must be the same as input0.
*/
MAX_POOL_2D = @1.2::OperationType:MAX_POOL_2D,