diff options
Diffstat (limited to 'delegate/opaque/src/Quantization.hpp')
| -rw-r--r-- | delegate/opaque/src/Quantization.hpp | 26 |
1 files changed, 18 insertions, 8 deletions
diff --git a/delegate/opaque/src/Quantization.hpp b/delegate/opaque/src/Quantization.hpp index d7f5c5c73f..e2e5f7618d 100644 --- a/delegate/opaque/src/Quantization.hpp +++ b/delegate/opaque/src/Quantization.hpp @@ -31,6 +31,7 @@ TfLiteStatus VisitDequantizeOperator(DelegateData& delegateData, } const TfLiteOpaqueTensor* tfLiteInputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]); + if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex)) { return kTfLiteError; @@ -63,14 +64,23 @@ TfLiteStatus VisitDequantizeOperator(DelegateData& delegateData, armnn::BackendId setBackend; auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) { - FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("DEQUANTIZE", - tfLiteContext, - IsDequantizeSupported, - delegateData.m_Backends, - isSupported, - setBackend, - inputTensorInfo, - outputTensorInfo); + // If this is a Dequantize with a Constant input then will be replaced by a Constant layer that contains the + // dequantized values during optimization so there's no need to check if it can be supported by the backend + if (IsConstantTensor(tfLiteInputTensor)) + { + isSupported = true; + } + else + { + FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("DEQUANTIZE", + tfLiteContext, + IsDequantizeSupported, + delegateData.m_Backends, + isSupported, + setBackend, + inputTensorInfo, + outputTensorInfo); + } }; if (!delegateData.m_Network) |