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author | surmeh01 <surabhi.mehta@arm.com> | 2018-07-05 12:06:04 +0100 |
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committer | surmeh01 <surabhi.mehta@arm.com> | 2018-07-05 12:06:04 +0100 |
commit | deb3bdbe028a59da0759dd7a560387d03a11d322 (patch) | |
tree | 869b7ee10d8f1f19a0861e0b552bb453330adf0a /test/Convolution2D.cpp | |
parent | 49b9e100bfbb3b8da01472a0ff48b2bd92944e01 (diff) | |
download | android-nn-driver-deb3bdbe028a59da0759dd7a560387d03a11d322.tar.gz |
Release 18.05.02
Diffstat (limited to 'test/Convolution2D.cpp')
-rw-r--r-- | test/Convolution2D.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/test/Convolution2D.cpp b/test/Convolution2D.cpp index 90edb415..cc301bc9 100644 --- a/test/Convolution2D.cpp +++ b/test/Convolution2D.cpp @@ -20,7 +20,7 @@ namespace void PaddingTestImpl(android::nn::PaddingScheme paddingScheme) { auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef)); - Model model = {}; + V1_0::Model model = {}; uint32_t outSize = paddingScheme == android::nn::kPaddingSame ? 2 : 1; @@ -39,7 +39,7 @@ void PaddingTestImpl(android::nn::PaddingScheme paddingScheme) // make the convolution operation model.operations.resize(1); - model.operations[0].type = OperationType::CONV_2D; + model.operations[0].type = V1_0::OperationType::CONV_2D; model.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2, 3, 4, 5, 6}; model.operations[0].outputs = hidl_vec<uint32_t>{7}; |