normAssert(target, output, "", l1, lInf);
}
-TEST(Test_TensorFlow, single_conv)
+TEST(Test_TensorFlow, conv)
{
runTensorFlowNet("single_conv");
runTensorFlowNet("atrous_conv2d_valid");
runTensorFlowNet("atrous_conv2d_same");
+ runTensorFlowNet("depthwise_conv2d");
}
TEST(Test_TensorFlow, padding)
runTensorFlowNet("pad_and_concat");
}
-TEST(Test_TensorFlow, fused_batch_norm)
+TEST(Test_TensorFlow, batch_norm)
{
+ runTensorFlowNet("batch_norm");
runTensorFlowNet("fused_batch_norm");
}
runTensorFlowNet("deconvolution");
}
+TEST(Test_TensorFlow, matmul)
+{
+ runTensorFlowNet("matmul");
+}
+
TEST(Test_TensorFlow, fp16)
{
const float l1 = 1e-3;