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Add TENSOR_QUANT8_ASYMM_SIGNED support for DEQUANTIZE

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Add TENSOR_QUANT8_ASYMM_SIGNED to the list of exceptions when mutating
DEQUANTIZE for validation.

Bug: 143934768
Test: VtsHalNeuralnetworksV1_3TargetTest
Change-Id: I1b3b0a362d3949d4e31708388100d4794846ca3a
This commit is contained in:
Lev Proleev
2019-12-05 16:57:30 +00:00
parent c5e116c18b
commit 2bd0b3339c
1 changed files with 3 additions and 2 deletions
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5
neuralnetworks/1.3/vts/functional/ValidateModel.cpp
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@@ -323,8 +323,8 @@ static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, con
// - 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
@@ -364,6 +364,7 @@ static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, con
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;