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Merge changes from topic "signed_quant_cherry_pick"

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am: 45e64ac5dd

Change-Id: Ied0c486d38dad9c9770e85305764061efebb3211
This commit is contained in:
Lev Proleev 2019-12-02 13:38:42 -08:00 committed by android-build-merger
commit 0d7921292b
4 changed files with 56 additions and 94 deletions
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6
current.txt
View file

@ -575,10 +575,10 @@ cfa81f229b69f9011c58f48264fcb552447430fe68610eac514e811e65bc306a android.hardwar
b69a7615c508acf5c5201efd1bfa3262167874fc3594e2db5a3ff93addd8ac75 android.hardware.keymaster@4.0::IKeymasterDevice
eb2fa0c883c2185d514be0b84c179b283753ef0c1b77b45b4f359bd23bba8b75 android.hardware.neuralnetworks@1.0::IPreparedModel
f1109cbb10297b7429a11fab42afa912710b303c9bf20bd5cdb8bd57b9c84186 android.hardware.neuralnetworks@1.0::types
9d8ee57c490ffeaa28f702eaea8d198cb510e4bbfb99e6cb5f63e73341057c7c android.hardware.neuralnetworks@1.1::types
5f6d3097ba84cb63c430787123f4de1b31c11f90b531b98eae9a8623a5ae962a android.hardware.neuralnetworks@1.1::types
fb382e986c10b8fbb797a8546e8f9ea6d1107bfe6f3fb7e57f6bbbf1f807a906 android.hardware.neuralnetworks@1.2::IDevice
40e71cd693de5b832325c5d8f081f2ff20a7ba2b89d401cee5b4b3eb0e241681 android.hardware.neuralnetworks@1.2::IPreparedModel
b40eb9dc491e3b203be2edca330ccd0417e9ca77b1b1b0f4c628a5fd269764a2 android.hardware.neuralnetworks@1.2::types
2d5483fbf59d5fd2de94665a6df05da5c3d09de67561d0db5e9f09e59e9aea46 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 +597,7 @@ adb0efdf1462e9b2e742c0dcadd598666aac551f178be06e755bfcdf5797abd0 android.hardwar
9e59fffceed0dd72a9799e04505db5f777bbbea1af0695ba4107ef6d967c6fda android.hardware.neuralnetworks@1.3::IDevice
4a6c3b3556da951b4def21ba579a227c022980fe4465df6cdfbe20628fa75f5a android.hardware.neuralnetworks@1.3::IPreparedModel
94e803236398bed1febb11cc21051bc42ec003700139b099d6c479e02a7ca3c3 android.hardware.neuralnetworks@1.3::IPreparedModelCallback
8900b3a4ef6c0be540821fad0ad8b58b3654b70cfa38df662c640b88ea486d9f android.hardware.neuralnetworks@1.3::types
cf1d55e8c68300090747ab90b94c22e4c859b29c84ced68a317c595bb115eab2 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

2
neuralnetworks/1.1/types.hal
View file

@ -125,7 +125,7 @@ enum OperationType : @1.0::OperationType {
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0.
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be same as input0.
* the scale and zeroPoint must be the same as input0.
*/
MEAN = 31,

16
neuralnetworks/1.2/types.hal
View file

@ -1954,7 +1954,7 @@ enum OperationType : int32_t {
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0.
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be same as input0.
* the scale and zeroPoint must be the same as input0.
*/
MEAN = @1.1::OperationType:MEAN,
@ -3141,8 +3141,8 @@ enum OperationType : int32_t {
* {@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
@ -3181,8 +3181,7 @@ enum OperationType : int32_t {
* * 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
* {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same type.
* For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
* 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
@ -3669,17 +3668,14 @@ enum OperationType : int32_t {
/**
* Quantizes the input tensor.
*
* The formula for {@link OperandType::TENSOR_QUANT8_ASYMM} output tensor is:
* The formula is:
*
* output = max(0, min(255, round(input / scale) + zeroPoint)
*
* Supported input tensor {@link OperandType}:
* Supported 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:

126
neuralnetworks/1.3/types.hal
View file

@ -228,6 +228,7 @@ enum OperationType : int32_t {
* * {@link OperandType::TENSOR_FLOAT32}
* * {@link OperandType::TENSOR_QUANT8_ASYMM}
* (full support since HAL version 1.2, see the input section)
* * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
*
* Supported tensor rank: up to 4
*
@ -237,6 +238,9 @@ enum OperationType : int32_t {
* Before HAL version 1.2, all input tensors of
* {@link OperandType::TENSOR_QUANT8_ASYMM}
* must have the same scale and zeroPoint as the output tensor.
* Input tensors of
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
* are allowed to have different scale and zeroPoint.
* Since HAL version 1.2, zero-sized tensors are supported.
* * n: An {@link OperandType::INT32} scalar, specifying the
* concatenation axis.
@ -247,6 +251,8 @@ enum OperationType : int32_t {
* Since HAL version 1.2, for a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint values can be different from
* input tensors. Before HAL version 1.2 they have to be the same as for the input tensors.
* For a {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* the scale and zeroPoint values can be different from input tensors.
*/
CONCATENATION = @1.2::OperationType:CONCATENATION,
@ -563,7 +569,6 @@ 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:
@ -584,8 +589,7 @@ enum OperationType : int32_t {
* 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} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
DEPTH_TO_SPACE = @1.2::OperationType:DEPTH_TO_SPACE,
@ -1469,6 +1473,7 @@ 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: up to 4.
*
@ -1485,7 +1490,8 @@ enum OperationType : int32_t {
*
* Outputs:
* * 0: The output tensor, of shape specified by the input shape.
* 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.
*/
RESHAPE = @1.2::OperationType:RESHAPE,
@ -1501,7 +1507,6 @@ enum OperationType : int32_t {
* * {@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:
@ -1544,8 +1549,7 @@ enum OperationType : int32_t {
* Outputs:
* * 0: The output 4-D tensor, of shape
* [batches, new_height, new_width, depth].
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
RESIZE_BILINEAR = @1.2::OperationType:RESIZE_BILINEAR,
@ -1664,7 +1668,6 @@ 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:
@ -1685,8 +1688,7 @@ enum OperationType : int32_t {
* 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} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
SPACE_TO_DEPTH = @1.2::OperationType:SPACE_TO_DEPTH,
@ -1810,7 +1812,6 @@ 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:
@ -1829,8 +1830,7 @@ enum OperationType : int32_t {
*
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0.
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
BATCH_TO_SPACE_ND = @1.2::OperationType:BATCH_TO_SPACE_ND,
@ -1890,6 +1890,7 @@ 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: up to 4
*
@ -1909,8 +1910,9 @@ enum OperationType : int32_t {
*
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0.
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be same as input0.
* 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.
*/
MEAN = @1.2::OperationType:MEAN,
@ -1923,7 +1925,6 @@ 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)
* (full support since HAL version 1.2, see the output section)
*
* Supported tensor rank: up to 4
@ -1946,8 +1947,7 @@ enum OperationType : int32_t {
* of the padding:
* output0.dimension[i] =
* padding[i, 0] + input0.dimension[i] + padding[i, 1]
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*
* NOTE: Before HAL version 1.2, the pad value for
@ -1971,7 +1971,6 @@ 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)
* (full support since HAL version 1.2, see the output section)
*
* Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
@ -1999,8 +1998,7 @@ enum OperationType : int32_t {
*
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0.
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*
* NOTE: Before HAL version 1.2, the pad value for
@ -2021,6 +2019,7 @@ 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: up to 4
*
@ -2036,7 +2035,8 @@ enum OperationType : int32_t {
* * 0: A tensor of the same {@link OperandType} as input0. Contains the
* same data as input, but has one or more dimensions of size 1
* removed.
* 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.
*/
SQUEEZE = @1.2::OperationType:SQUEEZE,
@ -2054,6 +2054,7 @@ 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: up to 4
*
@ -2083,7 +2084,8 @@ enum OperationType : int32_t {
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0 and rank (n - k),
* where k is the number of bits set in shrink_axis_mask.
* 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.
*/
STRIDED_SLICE = @1.2::OperationType:STRIDED_SLICE,
@ -2149,7 +2151,6 @@ 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: up to 4
*
@ -2161,8 +2162,7 @@ enum OperationType : int32_t {
*
* Outputs:
* * 0: A tensor of the same {@link OperandType} as input0.
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
TRANSPOSE = @1.2::OperationType:TRANSPOSE,
@ -2708,7 +2708,6 @@ enum OperationType : int32_t {
* * {@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
*
@ -2723,8 +2722,7 @@ enum OperationType : int32_t {
*
* Outputs:
* * 0: A tensor of the same {@link OperandType} and same shape as input0.
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
CHANNEL_SHUFFLE = @1.2::OperationType:CHANNEL_SHUFFLE,
@ -3083,23 +3081,12 @@ enum OperationType : int32_t {
* * * {@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
@ -3118,9 +3105,8 @@ enum OperationType : int32_t {
* {@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} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
* {@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
@ -3159,9 +3145,7 @@ enum OperationType : int32_t {
* * 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
* {@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}
* 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
@ -3186,8 +3170,7 @@ enum OperationType : int32_t {
* Outputs:
* * 0: The output 4-D tensor, of shape
* [batches, out_height, out_width, depth_out].
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* For a {@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,
@ -3543,7 +3526,6 @@ enum OperationType : int32_t {
* * {@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
*
@ -3561,8 +3543,7 @@ enum OperationType : int32_t {
* 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} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
* For input tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
* the pad value must be of {@link OperandType::INT32}. The
* scale and zeroPoint are assumed to be the same as in input0.
*
@ -3574,8 +3555,7 @@ enum OperationType : int32_t {
* of the padding:
* output0.dimension[i] =
* padding[i, 0] + input0.dimension[i] + padding[i, 1]
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
PAD_V2 = @1.2::OperationType:PAD_V2,
@ -3652,23 +3632,14 @@ enum OperationType : int32_t {
/**
* Quantizes the input tensor.
*
* The formula for {@link OperandType::TENSOR_QUANT8_ASYMM} output tensor is:
* The formula is:
*
* output = max(0, min(255, round(input / scale) + zeroPoint)
*
* 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}:
* Supported 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:
@ -3676,8 +3647,7 @@ enum OperationType : int32_t {
*
* Outputs:
* * 0: The output tensor of same shape as input0, but with
* {@link OperandType::TENSOR_QUANT8_ASYMM} or.
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}.
* {@link OperandType::TENSOR_QUANT8_ASYMM}.
*/
QUANTIZE = @1.2::OperationType:QUANTIZE,
@ -3868,6 +3838,7 @@ enum OperationType : int32_t {
* * {@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
*
@ -3880,7 +3851,8 @@ enum OperationType : int32_t {
*
* 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.
*/
REDUCE_MAX = @1.2::OperationType:REDUCE_MAX,
@ -3897,6 +3869,7 @@ enum OperationType : int32_t {
* * {@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
*
@ -3909,7 +3882,8 @@ enum OperationType : int32_t {
*
* 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.
*/
REDUCE_MIN = @1.2::OperationType:REDUCE_MIN,
@ -4184,7 +4158,6 @@ enum OperationType : int32_t {
* * {@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
*
@ -4197,8 +4170,7 @@ enum OperationType : int32_t {
*
* Outputs:
* * 0 ~ (num_splits - 1): Resulting subtensors.
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
SPLIT = @1.2::OperationType:SPLIT,
@ -4234,7 +4206,6 @@ enum OperationType : int32_t {
* * {@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
*
@ -4245,8 +4216,7 @@ enum OperationType : int32_t {
*
* Outputs:
* * 0: A tiled tensor of the same {@link OperandType} and rank as `input`.
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
TILE = @1.2::OperationType:TILE,
@ -4262,7 +4232,6 @@ enum OperationType : int32_t {
* * {@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
*
@ -4274,8 +4243,7 @@ enum OperationType : int32_t {
* 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} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} 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.
@ -4571,7 +4539,6 @@ enum OperationType : int32_t {
* * {@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:
@ -4611,8 +4578,7 @@ enum OperationType : int32_t {
* Outputs:
* * 0: The output 4-D tensor, of shape
* [batches, new_height, new_width, depth].
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
* {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
* For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
* the scale and zeroPoint must be the same as input0.
*/
RESIZE_NEAREST_NEIGHBOR = @1.2::OperationType:RESIZE_NEAREST_NEIGHBOR,