From 5edc8816118fcddb2681379db04c978041ce8b46 Mon Sep 17 00:00:00 2001 From: Aron Virginas-Tar Date: Tue, 5 Nov 2019 18:00:21 +0000 Subject: IVGCVSW-3837 Add support for per-axis quantization to reference Convolution2d workload Signed-off-by: Aron Virginas-Tar Change-Id: I0ac08ba4864d48e6f64c4ac645dad8ea850be112 --- src/backends/reference/RefLayerSupport.cpp | 46 +++++++++++++++++++++--------- 1 file changed, 32 insertions(+), 14 deletions(-) (limited to 'src/backends/reference/RefLayerSupport.cpp') diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp index 716e8d9492..4252fecf35 100644 --- a/src/backends/reference/RefLayerSupport.cpp +++ b/src/backends/reference/RefLayerSupport.cpp @@ -433,11 +433,12 @@ bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input, bool supported = true; // Define supported types. - std::array supportedTypes = { - DataType::Float32, - DataType::Float16, - DataType::QuantisedAsymm8, - DataType::QuantisedSymm16 + std::array supportedTypes = + { + DataType::Float32, + DataType::Float16, + DataType::QuantisedAsymm8, + DataType::QuantisedSymm16 }; supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported, @@ -446,22 +447,39 @@ bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input, supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported, "Reference convolution2d: output is not a supported type."); - supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported, - "Reference convolution2d: weights is not a supported type."); - supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported, "Reference convolution2d: input and output types mismatched."); - supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported, - "Reference convolution2d: input and weights types mismatched."); + const DataType inputType = input.GetDataType(); + if (inputType == DataType::QuantisedAsymm8) + { + std::array supportedWeightTypes = + { + DataType::QuantisedAsymm8, + DataType::QuantizedSymm8PerAxis + }; + + supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported, + "Reference convolution2d: weights type not supported for quantized input."); + } + else + { + supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported, + "Reference convolution2d: weights is not a supported type."); + + supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported, + "Reference convolution2d: input and weights types mismatched."); + } if (biases.has_value()) { - std::array biasesSupportedTypes = { - DataType::Float32, - DataType::Float16, - DataType::Signed32 + std::array biasesSupportedTypes = + { + DataType::Float32, + DataType::Float16, + DataType::Signed32 }; + supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported, "Reference convolution2d: biases is not a supported type."); } -- cgit v1.2.1