Add TENSOR_QUANT8_ASYMM_SIGNED support for more ops
Updated:
BATCH_TO_SPACE_ND
CHANNEL_SHUFFLE
DEPTH_TO_SPACE
GROUPED_CONV_2D
PAD
PAD_V2
QUANTIZE
RESIZE_BILINEAR
RESIZE_NEAREST_NEIGHBOR
SPACE_TO_BATCH_ND
SPACE_TO_DEPTH
SPLIT
TILE
TOPK_V2
TRANSPOSE
Bug: 143934582
Bug: 143934585
Bug: 143934628
Bug: 143934630
Bug: 143934721
Bug: 143935039
Bug: 143935052
Bug: 143935113
Bug: 143935115
Bug: 143935141
Bug: 143935353
Bug: 143935355
Bug: 143935392
Bug: 143935394
Bug: 143935413
Test: quantization coupling tests in CTS and VTS
Change-Id: I7e1b65507ea0f7dcdfdb5fd98e7871d84f569ed7
Merged-In: I7e1b65507ea0f7dcdfdb5fd98e7871d84f569ed7
(cherry picked from commit 6d3cdc322b973f8bd25ecd7f4fd13d35c617e51e)
diff --git a/current.txt b/current.txt
index ef57434..7074f22 100644
--- a/current.txt
+++ b/current.txt
@@ -578,7 +578,7 @@
9d8ee57c490ffeaa28f702eaea8d198cb510e4bbfb99e6cb5f63e73341057c7c android.hardware.neuralnetworks@1.1::types
fb382e986c10b8fbb797a8546e8f9ea6d1107bfe6f3fb7e57f6bbbf1f807a906 android.hardware.neuralnetworks@1.2::IDevice
40e71cd693de5b832325c5d8f081f2ff20a7ba2b89d401cee5b4b3eb0e241681 android.hardware.neuralnetworks@1.2::IPreparedModel
-72de91c3feba4b19c159cd1c413cbea596b78240caa43e31194e20e6f5b05c49 android.hardware.neuralnetworks@1.2::types
+b40eb9dc491e3b203be2edca330ccd0417e9ca77b1b1b0f4c628a5fd269764a2 android.hardware.neuralnetworks@1.2::types
a785a57447a81e9c130eef6904c3a5c256076c6a04588c40620ebd6fa2660d77 android.hardware.radio@1.2::types
1a6e2bd289f22931c526b21916910f1d4c436b7acb9556e4243de4ce8e6cc2e4 android.hardware.soundtrigger@2.0::ISoundTriggerHwCallback
fd65298e1e09e0e3c781ab18305920d757dbe55a3b459ce17814ec5cf6dfee99 android.hardware.wifi@1.0::IWifiP2pIface
@@ -597,7 +597,13 @@
9e59fffceed0dd72a9799e04505db5f777bbbea1af0695ba4107ef6d967c6fda android.hardware.neuralnetworks@1.3::IDevice
4a6c3b3556da951b4def21ba579a227c022980fe4465df6cdfbe20628fa75f5a android.hardware.neuralnetworks@1.3::IPreparedModel
94e803236398bed1febb11cc21051bc42ec003700139b099d6c479e02a7ca3c3 android.hardware.neuralnetworks@1.3::IPreparedModelCallback
-2d16429145dc1158bf3e45c7de86a39e461dec3ec00512c11a7e5249535a2e96 android.hardware.neuralnetworks@1.3::types
+8900b3a4ef6c0be540821fad0ad8b58b3654b70cfa38df662c640b88ea486d9f 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
+619fc9839ec6e369cfa9b28e3e9412e6885720ff8f9b5750c1b6ffb905120391 android.hardware.wifi.supplicant@1.3::ISupplicantStaIfaceCallback
+c9273429fcf98d797d3bb07fdba6f1be95bf960f9255cde169fd1ca4db85f856 android.hardware.wifi.supplicant@1.3::ISupplicantStaNetwork
+9b0a3ab6f4f74b971ed094426d8a443e29b512ff03e1ab50c07156396cdb2483 android.hardware.wifi.supplicant@1.3::types
274fb1254a6d1a97824ec5c880eeefc0e410dc6d3a2a4c34052201169d2b7de0 android.hardware.radio@1.5::types
c8e81d912827a5d49b2ddcdc4eb4556c5d231a899a1dca879309e04210daa4a0 android.hardware.radio@1.5::IRadio
a62a93faf173b14a6175b683ebf61ffa568dc61f81e369d2dce7b1265e86cf2f android.hardware.radio@1.5::IRadioIndication
diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
index ef71ea8..65ee81c 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -3141,8 +3141,8 @@
* {@link SymmPerChannelQuantParams}) must be set to 0.
* * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
* tensor of type {@link OperandType::TENSOR_FLOAT32} or
- * {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same
- * type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+ * {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same type.
+ * For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
* the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
* of 0 and bias_scale == input_scale * filter_scale. For filter tensor
* of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
@@ -3181,7 +3181,8 @@
* * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
* tensor of type {@link OperandType::TENSOR_FLOAT32} or
* {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same
- * type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+ * {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same type.
+ * For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
* the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
* of 0 and bias_scale == input_scale * filter_scale. For filter tensor
* of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
@@ -3668,14 +3669,17 @@
/**
* Quantizes the input tensor.
*
- * The formula is:
+ * The formula for {@link OperandType::TENSOR_QUANT8_ASYMM} output tensor is:
*
* output = max(0, min(255, round(input / scale) + zeroPoint)
*
- * Supported tensor {@link OperandType}:
+ * Supported input tensor {@link OperandType}:
* * {@link OperandType::TENSOR_FLOAT16}
* * {@link OperandType::TENSOR_FLOAT32}
*
+ * Supported output tensor {@link OperandType}:
+ * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+ *
* Supported tensor rank: from 1
*
* Inputs:
diff --git a/neuralnetworks/1.3/types.hal b/neuralnetworks/1.3/types.hal
index 3551d57..5fbf4e6 100644
--- a/neuralnetworks/1.3/types.hal
+++ b/neuralnetworks/1.3/types.hal
@@ -563,6 +563,7 @@
* * {@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:
@@ -583,7 +584,8 @@
* Outputs:
* * 0: The output 4-D tensor, of shape [batch, height*block_size,
* width*block_size, depth/(block_size*block_size)].
- * 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.
*/
DEPTH_TO_SPACE = @1.2::OperationType:DEPTH_TO_SPACE,
@@ -1499,6 +1501,7 @@
* * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
* * {@link OperandType::TENSOR_FLOAT32}
* * {@link OperandType::TENSOR_QUANT8_ASYMM} (since HAL version 1.2)
+ * * {@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:
@@ -1541,7 +1544,8 @@
* Outputs:
* * 0: The output 4-D tensor, of shape
* [batches, new_height, new_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.
*/
RESIZE_BILINEAR = @1.2::OperationType:RESIZE_BILINEAR,
@@ -1660,6 +1664,7 @@
* * {@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:
@@ -1680,7 +1685,8 @@
* Outputs:
* * 0: The output 4-D tensor, of shape [batches, height/block_size,
* width/block_size, depth_in*block_size*block_size].
- * 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.
*/
SPACE_TO_DEPTH = @1.2::OperationType:SPACE_TO_DEPTH,
@@ -1804,6 +1810,7 @@
* * {@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:
@@ -1822,7 +1829,8 @@
*
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0.
- * 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.
*/
BATCH_TO_SPACE_ND = @1.2::OperationType:BATCH_TO_SPACE_ND,
@@ -1915,6 +1923,7 @@
* * {@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)
* (full support since HAL version 1.2, see the output section)
*
* Supported tensor rank: up to 4
@@ -1937,7 +1946,8 @@
* of the padding:
* output0.dimension[i] =
* padding[i, 0] + input0.dimension[i] + padding[i, 1]
- * 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.
*
* NOTE: Before HAL version 1.2, the pad value for
@@ -1961,6 +1971,7 @@
* * {@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)
* (full support since HAL version 1.2, see the output section)
*
* Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
@@ -1988,7 +1999,8 @@
*
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0.
- * 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.
*
* NOTE: Before HAL version 1.2, the pad value for
@@ -2137,6 +2149,7 @@
* * {@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: up to 4
*
@@ -2148,7 +2161,8 @@
*
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0.
- * For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+ * For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+ * {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
TRANSPOSE = @1.2::OperationType:TRANSPOSE,
@@ -2694,6 +2708,7 @@
* * {@link OperandType::TENSOR_FLOAT16}
* * {@link OperandType::TENSOR_FLOAT32}
* * {@link OperandType::TENSOR_QUANT8_ASYMM}
+ * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
*
* Supported tensor rank: up to 4
*
@@ -2708,7 +2723,8 @@
*
* Outputs:
* * 0: A tensor of the same {@link OperandType} and same shape as input0.
- * For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+ * For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+ * {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
CHANNEL_SHUFFLE = @1.2::OperationType:CHANNEL_SHUFFLE,
@@ -3067,12 +3083,23 @@
* * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
* * * input.scale * filter.scale).
*
+ * * Quantized signed (since HAL version 1.3):
+ * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, filter, and output.
+ * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+ * * * input.scale * filter.scale).
+ *
* * Quantized with symmetric per channel quantization for the filter:
* * * {@link OperandType::TENSOR_QUANT8_ASYMM} for input, and output.
* * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
* * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
* * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
*
+ * * Quantized signed with filter symmetric per channel quantization (since HAL version 1.3):
+ * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, and output.
+ * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+ * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+ * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+ *
* Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
* With the default data layout NHWC, the data is stored in the order of:
* [batch, height, width, channels]. Alternatively, the data layout could
@@ -3091,8 +3118,9 @@
* {@link SymmPerChannelQuantParams}) must be set to 0.
* * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
* tensor of type {@link OperandType::TENSOR_FLOAT32} or
- * {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same
- * type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+ * {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same type.
+ * For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM} and
+ * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
* the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
* of 0 and bias_scale == input_scale * filter_scale. For filter tensor
* of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
@@ -3131,7 +3159,9 @@
* * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
* tensor of type {@link OperandType::TENSOR_FLOAT32} or
* {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same
- * type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+ * {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same type.
+ * For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM} and
+ * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
* the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
* of 0 and bias_scale == input_scale * filter_scale. For filter tensor
* of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
@@ -3156,7 +3186,8 @@
* Outputs:
* * 0: The output 4-D tensor, of shape
* [batches, out_height, out_width, depth_out].
- * For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+ * For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+ * {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint can be different from inputs' scale and zeroPoint.
*/
GROUPED_CONV_2D = @1.2::OperationType:GROUPED_CONV_2D,
@@ -3512,6 +3543,7 @@
* * {@link OperandType::TENSOR_FLOAT16}
* * {@link OperandType::TENSOR_FLOAT32}
* * {@link OperandType::TENSOR_QUANT8_ASYMM}
+ * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
*
* Supported tensor rank: up to 4
*
@@ -3529,7 +3561,8 @@
* pad value must be of {@link OperandType::FLOAT16}.
* For input tensor of {@link OperandType::TENSOR_FLOAT32}, the
* pad value must be of {@link OperandType::FLOAT32}.
- * For input tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+ * For input tensor of {@link OperandType::TENSOR_QUANT8_ASYMM} and
+ * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
* the pad value must be of {@link OperandType::INT32}. The
* scale and zeroPoint are assumed to be the same as in input0.
*
@@ -3541,7 +3574,8 @@
* of the padding:
* output0.dimension[i] =
* padding[i, 0] + input0.dimension[i] + padding[i, 1]
- * 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.
*/
PAD_V2 = @1.2::OperationType:PAD_V2,
@@ -3618,14 +3652,23 @@
/**
* Quantizes the input tensor.
*
- * The formula is:
+ * The formula for {@link OperandType::TENSOR_QUANT8_ASYMM} output tensor is:
*
* output = max(0, min(255, round(input / scale) + zeroPoint)
*
- * Supported tensor {@link OperandType}:
+ * The formula for {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} output
+ * tensor is:
+ *
+ * output = max(-128, min(127, round(input / scale) + zeroPoint)
+ *
+ * Supported input tensor {@link OperandType}:
* * {@link OperandType::TENSOR_FLOAT16}
* * {@link OperandType::TENSOR_FLOAT32}
*
+ * Supported output tensor {@link OperandType}:
+ * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+ * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+ *
* Supported tensor rank: from 1
*
* Inputs:
@@ -3633,7 +3676,8 @@
*
* Outputs:
* * 0: The output tensor of same shape as input0, but with
- * {@link OperandType::TENSOR_QUANT8_ASYMM}.
+ * {@link OperandType::TENSOR_QUANT8_ASYMM} or.
+ * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}.
*/
QUANTIZE = @1.2::OperationType:QUANTIZE,
@@ -4140,6 +4184,7 @@
* * {@link OperandType::TENSOR_FLOAT32}
* * {@link OperandType::TENSOR_INT32}
* * {@link OperandType::TENSOR_QUANT8_ASYMM}
+ * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
*
* Supported tensor rank: from 1
*
@@ -4152,7 +4197,8 @@
*
* Outputs:
* * 0 ~ (num_splits - 1): Resulting subtensors.
- * 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.
*/
SPLIT = @1.2::OperationType:SPLIT,
@@ -4188,6 +4234,7 @@
* * {@link OperandType::TENSOR_FLOAT32}
* * {@link OperandType::TENSOR_INT32}
* * {@link OperandType::TENSOR_QUANT8_ASYMM}
+ * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
*
* Supported tensor rank: from 1
*
@@ -4198,7 +4245,8 @@
*
* Outputs:
* * 0: A tiled tensor of the same {@link OperandType} and rank as `input`.
- * 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.
*/
TILE = @1.2::OperationType:TILE,
@@ -4214,6 +4262,7 @@
* * {@link OperandType::TENSOR_FLOAT32}
* * {@link OperandType::TENSOR_INT32}
* * {@link OperandType::TENSOR_QUANT8_ASYMM}
+ * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
*
* Supported tensor rank: from 1
*
@@ -4225,7 +4274,8 @@
* Outputs:
* * 0: An n-D tensor of the same type as the input, containing the k
* largest elements along each last dimensional slice.
- * 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.
* * 1: An n-D tensor of type {@link OperandType::TENSOR_INT32}
* containing the indices of values within the last dimension of input.
@@ -4521,6 +4571,7 @@
* * {@link OperandType::TENSOR_FLOAT16}
* * {@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:
@@ -4560,7 +4611,8 @@
* Outputs:
* * 0: The output 4-D tensor, of shape
* [batches, new_height, new_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.
*/
RESIZE_NEAREST_NEIGHBOR = @1.2::OperationType:RESIZE_NEAREST_NEIGHBOR,
diff --git a/neuralnetworks/1.3/vts/functional/ValidateModel.cpp b/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
index 46bbd3f..242e12e 100644
--- a/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
@@ -344,7 +344,17 @@
return true;
}
} break;
- case OperationType::QUANTIZE:
+ case OperationType::QUANTIZE: {
+ if (operand == operation.inputs[0] &&
+ (type == OperandType::TENSOR_FLOAT16 || type == OperandType::TENSOR_FLOAT32)) {
+ return true;
+ }
+ if (operand == operation.outputs[0] &&
+ (type == OperandType::TENSOR_QUANT8_ASYMM ||
+ type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED)) {
+ return true;
+ }
+ } break;
case OperationType::RANDOM_MULTINOMIAL: {
if (operand == operation.inputs[0] &&
(type == OperandType::TENSOR_FLOAT16 || type == OperandType::TENSOR_FLOAT32)) {