diff options
Diffstat (limited to 'src/backends/neon/NeonLayerSupport.cpp')
-rw-r--r-- | src/backends/neon/NeonLayerSupport.cpp | 24 |
1 files changed, 0 insertions, 24 deletions
diff --git a/src/backends/neon/NeonLayerSupport.cpp b/src/backends/neon/NeonLayerSupport.cpp index 7f311d8684..4c97855668 100644 --- a/src/backends/neon/NeonLayerSupport.cpp +++ b/src/backends/neon/NeonLayerSupport.cpp @@ -220,12 +220,8 @@ bool NeonLayerSupport::IsLayerSupported(const LayerType& type, } case LayerType::Constant: return IsConstantSupported(infos[0], reasonIfUnsupported); - case LayerType::ConvertBf16ToFp32: - return IsConvertBf16ToFp32Supported(infos[0], infos[1], reasonIfUnsupported); case LayerType::ConvertFp16ToFp32: return IsConvertFp16ToFp32Supported(infos[0], infos[1], reasonIfUnsupported); - case LayerType::ConvertFp32ToBf16: - return IsConvertFp32ToBf16Supported(infos[0], infos[1], reasonIfUnsupported); case LayerType::ConvertFp32ToFp16: return IsConvertFp32ToFp16Supported(infos[0], infos[1], reasonIfUnsupported); case LayerType::Convolution2d: @@ -765,16 +761,6 @@ bool NeonLayerSupport::IsConstantSupported(const TensorInfo& output, output); } -bool NeonLayerSupport::IsConvertBf16ToFp32Supported(const TensorInfo& input, - const TensorInfo& output, - Optional<std::string&> reasonIfUnsupported) const -{ - armnn::IgnoreUnused(input); - armnn::IgnoreUnused(output); - armnn::IgnoreUnused(reasonIfUnsupported); - return true; -} - bool NeonLayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const @@ -785,16 +771,6 @@ bool NeonLayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input, return true; } -bool NeonLayerSupport::IsConvertFp32ToBf16Supported(const TensorInfo& input, - const TensorInfo& output, - Optional<std::string&> reasonIfUnsupported) const -{ - armnn::IgnoreUnused(input); - armnn::IgnoreUnused(output); - armnn::IgnoreUnused(reasonIfUnsupported); - return true; -} - bool NeonLayerSupport::IsConvertFp32ToFp16Supported(const TensorInfo& input, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const |