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mutateOperationOperandTypeSkip for new GROUPED_CONV_2D variant

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Bug: 119255406
Test: Vts NNAPI tests.
Change-Id: I234727f5abba546c1392f7096b7d411d36566bbf
This commit is contained in:
Lev Proleev 2019-01-15 17:53:46 +00:00
parent 647ad0c56a
commit b0762ccb2f
1 changed files with 2 additions and 0 deletions
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2
neuralnetworks/1.2/vts/functional/ValidateModel.cpp
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@ -336,6 +336,7 @@ static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, con
// - RANDOM_MULTINOMIAL's argument 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
// - GROUPED_CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
switch (operation.type) {
case OperationType::LSH_PROJECTION: {
if (operand == operation.inputs[1]) {
@ -355,6 +356,7 @@ static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, con
return true;
}
} break;
case OperationType::GROUPED_CONV_2D:
case OperationType::DEPTHWISE_CONV_2D:
case OperationType::CONV_2D: {
if (operand == 1 && (type == OperandType::TENSOR_QUANT8_ASYMM ||