forked from mindspore-Ecosystem/mindspore
benchmark mark accuracy use only 1 tensor
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1e3f83ce50
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6bb057ea27
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@ -234,7 +234,12 @@ int Benchmark::CompareOutput() {
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MS_LOG(ERROR) << "Cannot find output node: " << nodeName.c_str() << " , compare output data fail.";
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return RET_ERROR;
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}
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for (auto tensor : tensors) {
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// make sure tensor size is 1
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if (tensors.size() != 1) {
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MS_LOG(ERROR) << "Only support 1 tensor with a name now.";
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return RET_ERROR;
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}
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auto &tensor = tensors.front();
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MS_ASSERT(tensor->GetDataType() == DataType_DT_FLOAT);
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MS_ASSERT(tensor->GetData() != nullptr);
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float bias = CompareData(nodeName, tensor->shape(), static_cast<float *>(tensor->MutableData()));
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@ -246,7 +251,6 @@ int Benchmark::CompareOutput() {
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break;
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}
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}
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}
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if (!hasError) {
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float meanBias;
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