Add TENSOR_QUANT8_ASYMM_SIGNED support for DEQUANTIZE
Add TENSOR_QUANT8_ASYMM_SIGNED to the list of exceptions when mutating
DEQUANTIZE for validation.
Bug: 143934768
Test: VtsHalNeuralnetworksV1_3TargetTest
Change-Id: I1b3b0a362d3949d4e31708388100d4794846ca3a
Merged-In: I1b3b0a362d3949d4e31708388100d4794846ca3a
(cherry picked from commit 2bd0b3339cc278ed283dc10aa0daf438b5540ad9)
diff --git a/neuralnetworks/1.3/vts/functional/ValidateModel.cpp b/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
index 6fd5407..65880b7 100644
--- a/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
@@ -323,8 +323,8 @@
// - CAST's argument can be any of TENSOR_(FLOAT16|FLOAT32|INT32|QUANT8_ASYMM).
// - RANDOM_MULTINOMIAL's argument can be either TENSOR_FLOAT16 or TENSOR_FLOAT32.
// - DEQUANTIZE input can be any of
- // TENSOR_(QUANT8_ASYMM|QUANT8_SYMM|QUANT8_SYMM_PER_CHANNEL), output can
- // be of either TENSOR_FLOAT16 or TENSOR_FLOAT32.
+ // TENSOR_(QUANT8_ASYMM|QUANT8_ASYMM_SIGNED|QUANT8_SYMM|QUANT8_SYMM_PER_CHANNEL),
+ // output can be of either TENSOR_FLOAT16 or TENSOR_FLOAT32.
// - QUANTIZE input can be either TENSOR_FLOAT16 or TENSOR_FLOAT32
// - CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
// - DEPTHWISE_CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
@@ -365,6 +365,7 @@
case OperationType::DEQUANTIZE: {
if (operand == operation.inputs[0] &&
(type == OperandType::TENSOR_QUANT8_ASYMM ||
+ type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED ||
type == OperandType::TENSOR_QUANT8_SYMM ||
type == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL)) {
return true;