diff --git a/bench/blas.cpp b/bench/blas.cpp
index 9e1bb0204..e513f065a 100644
--- a/bench/blas.cpp
+++ b/bench/blas.cpp
@@ -45,10 +45,10 @@ void bench(sc::numeric_type dtype, std::string operation)
   using std::get;
   using std::make_tuple;
 
-  unsigned int dtsize = sc::size_of(dtype);
+  //unsigned int dtsize = sc::size_of(dtype);
   sc::driver::CommandQueue & queue = sc::driver::backend::queues::get(sc::driver::backend::contexts::get_default(),0);
   auto sync = [&](){ queue.synchronize(); };
-
+  auto cusync = [&](){ cudaDeviceSynchronize(); };
   /*---------*/
   /*--BLAS1--*/
   /*---------*/
@@ -73,7 +73,7 @@ void bench(sc::numeric_type dtype, std::string operation)
       times.push_back(bench([&](){cblas_saxpy(N, alpha, cx.data(), 1, cy.data(), 1);}, sync));
 #endif
 #ifdef BENCH_CUBLAS
-      times.push_back(bench([&](){cublasSaxpy(N, alpha, (T*)cu(x), 1, (T*)cu(y), 1);}, sync));
+      times.push_back(bench([&](){cublasSaxpy(N, alpha, (T*)cu(x), 1, (T*)cu(y), 1);}, cusync));
 #endif
     }
   }
@@ -99,7 +99,7 @@ void bench(sc::numeric_type dtype, std::string operation)
       times.push_back(bench([&](){cblas_sdot(N, cx.data(), 1, cy.data(), 1);}, sync));
 #endif
 #ifdef BENCH_CUBLAS
-      times.push_back(bench([&](){cublasSdot(N, (T*)cu(x), 1, (T*)cu(y), 1);}, sync));
+      times.push_back(bench([&](){cublasSdot(N, (T*)cu(x), 1, (T*)cu(y), 1);}, cusync));
 #endif
     }
   }
@@ -155,7 +155,7 @@ void bench(sc::numeric_type dtype, std::string operation)
       times.push_back(bench([&](){cblas_sgemv(CblasColMajor, AT?CblasTrans:CblasNoTrans, As1, As2, 1, cA.data(), lda, cx.data(), 1, 0, cy.data(), 1);}, sync));
 #endif
 #ifdef BENCH_CUBLAS
-      times.push_back(bench([&](){cublasSgemv(AT?'t':'n', As1, As2, 1, (T*)cu(A), lda, (T*)cu(x), 1, 0, (T*)cu(y), 1);}, sync));
+      times.push_back(bench([&](){cublasSgemv(AT?'t':'n', As1, As2, 1, (T*)cu(A), lda, (T*)cu(x), 1, 0, (T*)cu(y), 1);}, cusync));
 #endif
     }
   }
@@ -238,7 +238,7 @@ void bench(sc::numeric_type dtype, std::string operation)
       times.push_back(bench([&](){cblas_sgemm(CblasColMajor, AT?CblasTrans:CblasNoTrans, BT?CblasTrans:CblasNoTrans, M, N, K, 1, cA.data(), lda, cB.data(), ldb, 1, cC.data(), ldc);}, sync));
 #endif
 #ifdef BENCH_CUBLAS
-      times.push_back(bench([&](){cublasSgemm(AT?'t':'n', BT?'t':'n', M, N, K, 1, (T*)cu(A), lda, (T*)cu(B), ldb, 1, (T*)cu(C), ldc);}, sync));
+      times.push_back(bench([&](){cublasSgemm(AT?'t':'n', BT?'t':'n', M, N, K, 1, (T*)cu(A), lda, (T*)cu(B), ldb, 1, (T*)cu(C), ldc);}, cusync));
 #endif
       std::cout << name << "\t" << M << "\t" << N << "\t" << K << "\t" << cAT << "\t" << cBT;
       std::transform(times.begin(), times.end(), std::back_inserter(tflops), [&](double t){ return 2*M*N*K/t*1e-3;});
diff --git a/lib/runtime/inference/database/nvidia/json/sm_6_1.json b/lib/runtime/inference/database/nvidia/json/sm_6_1.json
index ce5295527..c06534483 100644
--- a/lib/runtime/inference/database/nvidia/json/sm_6_1.json
+++ b/lib/runtime/inference/database/nvidia/json/sm_6_1.json
@@ -1 +1 @@
-{"reduce_2d_cols": {"float32": {"predictor": [{"children_right": [4, 3, -1, -1, 6, -1, -1], "threshold": [1280.00, 640.00, -2.00, -2.00, 2816.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00], [8.80, 6.92, 9.09, 6.87, 6.70], [29.92, 24.85, 28.37, 26.18, 19.46], [0.00, 0.00, 0.00, 0.00, 0.00], [95.15, 101.49, 98.22, 73.17, 80.62], [69.81, 65.40, 60.87, 73.61, 35.54]], "feature": [0.00, 0.00, -2.00, -2.00, 0.00, -2.00, -2.00], "children_left": [1, 2, -1, -1, 5, -1, -1]}, {"children_right": [6, 5, 4, -1, -1, -1, 10, 9, -1, -1, -1], "threshold": [896.00, 2560.00, 640.00, -2.00, -2.00, -2.00, 896.00, 10240.00, -2.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00], [8.80, 6.92, 9.09, 6.87, 6.70], [29.92, 24.85, 28.37, 26.18, 19.46], [69.81, 65.40, 60.87, 73.61, 35.54], [0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00], [47.68, 29.37, 66.39, 16.71, 64.68], [62.38, 33.96, 98.69, 17.24, 119.67], [95.15, 101.49, 98.22, 73.17, 80.62]], "feature": [1.00, 0.00, 0.00, -2.00, -2.00, -2.00, 0.00, 1.00, -2.00, -2.00, -2.00], "children_left": [1, 2, 3, -1, -1, -1, 7, 8, -1, -1, -1]}, {"children_right": [4, 3, -1, -1, 6, -1, -1], "threshold": [1280.00, 640.00, -2.00, -2.00, 8960.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00], [8.80, 6.92, 9.09, 6.87, 6.70], [29.92, 24.85, 28.37, 26.18, 19.46], [0.00, 0.00, 0.00, 0.00, 0.00], [95.15, 101.49, 98.22, 73.17, 80.62], [106.94, 114.23, 86.45, 118.27, 46.45]], "feature": [0.00, 0.00, -2.00, -2.00, 0.00, -2.00, -2.00], "children_left": [1, 2, -1, -1, 5, -1, -1]}, {"children_right": [2, -1, 6, 5, -1, -1, -1], "threshold": [896.00, -2.00, 10240.00, 2816.00, -2.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00], [47.68, 29.37, 66.39, 16.71, 64.68], [0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00], [95.15, 101.49, 98.22, 73.17, 80.62], [69.81, 65.40, 60.87, 73.61, 35.54], [106.94, 114.23, 86.45, 118.27, 46.45]], "feature": [0.00, -2.00, 0.00, 0.00, -2.00, -2.00, -2.00], "children_left": [1, -1, 3, 4, -1, -1, -1]}, {"children_right": [4, 3, -1, -1, 8, 7, -1, -1, -1], "threshold": [1280.00, 640.00, -2.00, -2.00, 10240.00, 2816.00, -2.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00], [8.80, 6.92, 9.09, 6.87, 6.70], [29.92, 24.85, 28.37, 26.18, 19.46], [0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00], [95.15, 101.49, 98.22, 73.17, 80.62], [69.81, 65.40, 60.87, 73.61, 35.54], [106.94, 114.23, 86.45, 118.27, 46.45]], "feature": [0.00, 0.00, -2.00, -2.00, 0.00, 0.00, -2.00, -2.00, -2.00], "children_left": [1, 2, -1, -1, 5, 6, -1, -1, -1]}, {"children_right": [4, 3, -1, -1, 6, -1, -1], "threshold": [2816.00, 896.00, -2.00, -2.00, 10240.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00], [106.94, 114.23, 86.45, 118.27, 46.45], [95.15, 101.49, 98.22, 73.17, 80.62], [0.00, 0.00, 0.00, 0.00, 0.00], [47.68, 29.37, 66.39, 16.71, 64.68], [62.38, 33.96, 98.69, 17.24, 119.67]], "feature": [1.00, 1.00, -2.00, -2.00, 1.00, -2.00, -2.00], "children_left": [1, 2, -1, -1, 5, -1, -1]}], "profiles": [[4, 16, 8, 1, 1024, 1], [4, 8, 16, 1, 8192, 1], [4, 32, 1, 1, 2048, 1], [4, 4, 32, 1, 2048, 1], [4, 8, 128, 8, 4, 1]]}}, "matrix_product_nn": {"float32": {"predictor": [{"children_right": [18, 15, 8, 7, 6, -1, -1, -1, 12, 11, -1, -1, 14, -1, -1, 17, -1, -1, -1], "threshold": [1216.00, 2880.00, 224.00, 1752.00, 781.50, -2.00, -2.00, -2.00, 116.50, 48.00, -2.00, -2.00, 2880.00, -2.00, -2.00, 17728.00, -2.00, -2.00, -2.00], "children_left": [1, 2, 3, 4, 5, -1, -1, -1, 9, 10, -1, -1, 13, -1, -1, 16, -1, -1, -1], "feature": [1.00, 2.00, 1.00, 2.00, 2.00, -2.00, -2.00, -2.00, 2.00, 2.00, -2.00, -2.00, 0.00, -2.00, -2.00, 2.00, -2.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 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-1, 12, -1, -1], "threshold": [96.00, 48.00, 24.00, -2.00, 2304.00, -2.00, -2.00, 1904.00, -2.00, -2.00, 1904.00, -2.00, -2.00], "children_left": [1, 2, 3, -1, 5, -1, -1, 8, -1, -1, 11, -1, -1], "feature": [1.00, 1.00, 1.00, -2.00, 2.00, -2.00, -2.00, 0.00, -2.00, -2.00, 2.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [694.79, 722.77, 530.84, 308.42, 676.62, 510.21, 585.63], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1118.07, 1491.26, 945.34, 553.54, 1303.12, 1171.59, 962.31], [1025.19, 1421.02, 1053.42, 606.00, 1226.79, 993.91, 1178.31], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1258.90, 1548.43, 1851.91, 939.55, 1405.76, 1862.27, 1651.45], [1394.30, 1870.27, 1851.81, 1104.36, 1715.00, 2229.50, 1884.35], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 4900.64, 0.00, 0.00, 2870.86], [0.00, 0.00, 2429.13, 1860.99, 0.00, 2719.56, 2241.71]]}, {"children_right": [10, 9, 8, 5, -1, 7, -1, -1, -1, -1, 12, -1, -1], "threshold": [944.00, 96.00, 48.00, 24.00, -2.00, 2160.00, -2.00, -2.00, -2.00, -2.00, 2160.00, -2.00, -2.00], "children_left": [1, 2, 3, 4, -1, 6, -1, -1, -1, -1, 11, -1, -1], "feature": [1.00, 1.00, 1.00, 1.00, -2.00, 0.00, -2.00, -2.00, -2.00, -2.00, 1.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [694.79, 722.77, 530.84, 308.42, 676.62, 510.21, 585.63], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1043.29, 1095.53, 957.96, 485.69, 896.99, 962.39, 819.22], [1025.19, 1421.02, 1053.42, 606.00, 1226.79, 993.91, 1178.31], [1258.90, 1548.43, 1851.91, 939.55, 1405.76, 1862.27, 1651.45], [0.00, 0.00, 2429.13, 1860.99, 0.00, 2719.56, 2241.71], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 4900.64, 0.00, 0.00, 2870.86], [0.00, 0.00, 0.00, 6018.15, 0.00, 0.00, 3237.58]]}, {"children_right": [8, 7, 4, -1, 6, -1, -1, -1, 10, -1, -1], "threshold": [912.00, 48.00, 1904.00, -2.00, 2304.00, -2.00, -2.00, -2.00, 2160.00, -2.00, -2.00], "children_left": [1, 2, 3, -1, 5, -1, -1, -1, 9, -1, -1], "feature": [1.00, 1.00, 0.00, -2.00, 0.00, -2.00, -2.00, -2.00, 2.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1043.29, 1095.53, 957.96, 485.69, 896.99, 962.39, 819.22], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1118.07, 1491.26, 945.34, 553.54, 1303.12, 1171.59, 962.31], [1025.19, 1421.02, 1053.42, 606.00, 1226.79, 993.91, 1178.31], [1258.90, 1548.43, 1851.91, 939.55, 1405.76, 1862.27, 1651.45], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 4900.64, 0.00, 0.00, 2870.86], [0.00, 0.00, 0.00, 6018.15, 0.00, 0.00, 3237.58]]}, {"children_right": [10, 7, 4, -1, 6, -1, -1, 9, -1, -1, -1], "threshold": [912.00, 48.00, 24.00, -2.00, 2160.00, -2.00, -2.00, 1904.00, -2.00, -2.00, -2.00], "children_left": [1, 2, 3, -1, 5, -1, -1, 8, -1, -1, -1], "feature": [1.00, 1.00, 1.00, -2.00, 0.00, -2.00, -2.00, 2.00, -2.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [694.79, 722.77, 530.84, 308.42, 676.62, 510.21, 585.63], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1043.29, 1095.53, 957.96, 485.69, 896.99, 962.39, 819.22], [1025.19, 1421.02, 1053.42, 606.00, 1226.79, 993.91, 1178.31], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1258.90, 1548.43, 1851.91, 939.55, 1405.76, 1862.27, 1651.45], [1394.30, 1870.27, 1851.81, 1104.36, 1715.00, 2229.50, 1884.35], [0.00, 0.00, 0.00, 4900.64, 0.00, 0.00, 2870.86]]}, {"children_right": [10, 7, 4, -1, 6, -1, -1, 9, -1, -1, 12, -1, -1], "threshold": [912.00, 48.00, 24.00, -2.00, 2160.00, -2.00, -2.00, 2160.00, -2.00, -2.00, 2160.00, -2.00, -2.00], "children_left": [1, 2, 3, -1, 5, -1, -1, 8, -1, -1, 11, -1, -1], "feature": [1.00, 1.00, 1.00, -2.00, 0.00, -2.00, -2.00, 0.00, -2.00, -2.00, 0.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [694.79, 722.77, 530.84, 308.42, 676.62, 510.21, 585.63], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1043.29, 1095.53, 957.96, 485.69, 896.99, 962.39, 819.22], [1025.19, 1421.02, 1053.42, 606.00, 1226.79, 993.91, 1178.31], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1258.90, 1548.43, 1851.91, 939.55, 1405.76, 1862.27, 1651.45], [1436.10, 2185.36, 2036.13, 1196.75, 1820.20, 1915.32, 2323.93], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 4900.64, 0.00, 0.00, 2870.86], [0.00, 0.00, 0.00, 6018.15, 0.00, 0.00, 3237.58]]}, {"children_right": [10, 7, 4, -1, 6, -1, -1, 9, -1, -1, 12, -1, -1], "threshold": [944.00, 48.00, 24.00, -2.00, 1904.00, -2.00, -2.00, 96.00, -2.00, -2.00, 2160.00, -2.00, -2.00], "children_left": [1, 2, 3, -1, 5, -1, -1, 8, -1, -1, 11, -1, -1], "feature": [1.00, 1.00, 1.00, -2.00, 0.00, -2.00, -2.00, 1.00, -2.00, -2.00, 1.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [694.79, 722.77, 530.84, 308.42, 676.62, 510.21, 585.63], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1043.29, 1095.53, 957.96, 485.69, 896.99, 962.39, 819.22], [1118.07, 1491.26, 945.34, 553.54, 1303.12, 1171.59, 962.31], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1394.30, 1870.27, 1851.81, 1104.36, 1715.00, 2229.50, 1884.35], [0.00, 0.00, 2429.13, 1860.99, 0.00, 2719.56, 2241.71], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 4900.64, 0.00, 0.00, 2870.86], [0.00, 0.00, 0.00, 6018.15, 0.00, 0.00, 3237.58]]}, {"children_right": [10, 9, 4, -1, 6, -1, 8, -1, -1, -1, -1], "threshold": [1312.00, 48.00, 24.00, -2.00, 1904.00, -2.00, 2304.00, -2.00, -2.00, -2.00, -2.00], "children_left": [1, 2, 3, -1, 5, -1, 7, -1, -1, -1, -1], "feature": [1.00, 1.00, 1.00, -2.00, 0.00, -2.00, 2.00, -2.00, -2.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [694.79, 722.77, 530.84, 308.42, 676.62, 510.21, 585.63], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1043.29, 1095.53, 957.96, 485.69, 896.99, 962.39, 819.22], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1118.07, 1491.26, 945.34, 553.54, 1303.12, 1171.59, 962.31], [1025.19, 1421.02, 1053.42, 606.00, 1226.79, 993.91, 1178.31], [1258.90, 1548.43, 1851.91, 939.55, 1405.76, 1862.27, 1651.45], [0.00, 0.00, 0.00, 6018.15, 0.00, 0.00, 3237.58]]}, {"children_right": [8, 7, 4, -1, 6, -1, -1, -1, -1], "threshold": [912.00, 48.00, 1904.00, -2.00, 2304.00, -2.00, -2.00, -2.00, -2.00], "children_left": [1, 2, 3, -1, 5, -1, -1, -1, -1], "feature": [1.00, 1.00, 2.00, -2.00, 2.00, -2.00, -2.00, -2.00, -2.00], "value": [[0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1043.29, 1095.53, 957.96, 485.69, 896.99, 962.39, 819.22], [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00], [1118.07, 1491.26, 945.34, 553.54, 1303.12, 1171.59, 962.31], [1025.19, 1421.02, 1053.42, 606.00, 1226.79, 993.91, 1178.31], [1436.10, 2185.36, 2036.13, 1196.75, 1820.20, 1915.32, 2323.93], [0.00, 0.00, 0.00, 4900.64, 0.00, 0.00, 2870.86]]}], "profiles": [[1, 32, 16, 4, 4, 2, 4, 4, 0, 0, 8, 16], [1, 32, 16, 4, 4, 2, 4, 8, 0, 0, 16, 8], [1, 2, 16, 32, 2, 8, 8, 2, 0, 0, 16, 4], [1, 8, 4, 16, 1, 8, 2, 8, 0, 0, 2, 64], [1, 2, 16, 16, 4, 8, 2, 1, 0, 0, 8, 4], [1, 2, 16, 32, 2, 8, 8, 2, 0, 0, 8, 8], [1, 2, 16, 32, 1, 8, 8, 2, 0, 0, 16, 4]]}}}
\ No newline at end of file
diff --git a/python/setup.py b/python/setup.py
index 4df114dc7..20a25aef7 100644
--- a/python/setup.py
+++ b/python/setup.py
@@ -73,7 +73,11 @@ def main():
       libraries += ['gnustl_shared']
 
     #Source files
+<<<<<<< Updated upstream
     src =  'src/lib/exception/api.cpp src/lib/exception/driver.cpp src/lib/value_scalar.cpp src/lib/random/rand.cpp src/lib/driver/check.cpp src/lib/driver/ndrange.cpp src/lib/driver/platform.cpp src/lib/driver/backend.cpp src/lib/driver/program.cpp src/lib/driver/command_queue.cpp src/lib/driver/event.cpp src/lib/driver/kernel.cpp src/lib/driver/handle.cpp src/lib/driver/device.cpp src/lib/driver/program_cache.cpp src/lib/driver/buffer.cpp src/lib/driver/context.cpp src/lib/driver/dispatch.cpp src/lib/jit/generation/engine/stream.cpp src/lib/jit/generation/engine/keywords.cpp src/lib/jit/generation/reduce_1d.cpp src/lib/jit/generation/elementwise_1d.cpp src/lib/jit/generation/base.cpp src/lib/jit/generation/elementwise_2d.cpp src/lib/jit/generation/matrix_product.cpp src/lib/jit/generation/reduce_2d.cpp src/lib/jit/syntax/engine/object.cpp src/lib/jit/syntax/engine/macro.cpp src/lib/jit/syntax/engine/process.cpp src/lib/jit/syntax/engine/binder.cpp src/lib/jit/syntax/expression/operations.cpp src/lib/jit/syntax/expression/expression.cpp src/lib/jit/syntax/expression/preset.cpp src/lib/api/blas/clBLAS.cpp src/lib/api/blas/cublas.cpp src/lib/runtime/execute.cpp src/lib/runtime/scheduler/dag.cpp src/lib/runtime/scheduler/strategies/heft.cpp src/lib/runtime/inference/predictors/random_forest.cpp src/lib/runtime/inference/profiles.cpp src/lib/runtime/inference/database.cpp src/lib/array.cpp '.split() + [os.path.join('src', 'bind', sf)  for sf in ['_isaac.cpp', 'core.cpp', 'driver.cpp', 'kernels.cpp', 'exceptions.cpp']]
+=======
+    src =  'src/lib/random/rand.cpp src/lib/jit/syntax/expression/preset.cpp src/lib/jit/syntax/expression/expression.cpp src/lib/jit/syntax/expression/operations.cpp src/lib/jit/syntax/engine/binder.cpp src/lib/jit/syntax/engine/macro.cpp src/lib/jit/syntax/engine/object.cpp src/lib/jit/syntax/engine/process.cpp src/lib/jit/generation/base.cpp src/lib/jit/generation/engine/keywords.cpp src/lib/jit/generation/engine/stream.cpp src/lib/jit/generation/reduce_1d.cpp src/lib/jit/generation/elementwise_1d.cpp src/lib/jit/generation/matrix_product.cpp src/lib/jit/generation/reduce_2d.cpp src/lib/jit/generation/elementwise_2d.cpp src/lib/runtime/execute.cpp src/lib/runtime/scheduler/dag.cpp src/lib/runtime/scheduler/strategies/heft.cpp src/lib/runtime/inference/predictors/random_forest.cpp src/lib/runtime/inference/database.cpp src/lib/runtime/inference/profiles.cpp src/lib/value_scalar.cpp src/lib/exception/api.cpp src/lib/exception/driver.cpp src/lib/driver/kernel.cpp src/lib/driver/program.cpp src/lib/driver/check.cpp src/lib/driver/backend.cpp src/lib/driver/context.cpp src/lib/driver/command_queue.cpp src/lib/driver/device.cpp src/lib/driver/platform.cpp src/lib/driver/handle.cpp src/lib/driver/dispatch.cpp src/lib/driver/buffer.cpp src/lib/driver/program_cache.cpp src/lib/driver/event.cpp src/lib/driver/ndrange.cpp src/lib/array.cpp src/lib/api/blas/cublas.cpp src/lib/api/blas/clBLAS.cpp '.split() + [os.path.join('src', 'bind', sf)  for sf in ['_isaac.cpp', 'core.cpp', 'driver.cpp', 'kernels.cpp', 'exceptions.cpp']]
+>>>>>>> Stashed changes
     boostsrc = 'external/boost/libs/'
     for s in ['numpy','python','smart_ptr','system','thread']:
         src = src + [x for x in recursive_glob('external/boost/libs/' + s + '/src/','.cpp') if 'win32' not in x and 'pthread' not in x]
diff --git a/tune/android/tune/optimize.py b/tune/android/tune/optimize.py
index a69b05224..088320ea7 100644
--- a/tune/android/tune/optimize.py
+++ b/tune/android/tune/optimize.py
@@ -192,7 +192,7 @@ def is_local_optimum(parameters, template, sizes, context):
     elif issubclass(template, sc.templates.reduce_2d):
         sweep_over = [0,1,2,3,4]
     elif issubclass(template, sc.templates.matrix_product):
-        sweep_over = [1,2,3,4,5,6,7]
+        sweep_over = [0,1,2,3,4]
     
     #Evaluate the provided parameters guess
     try:
diff --git a/tune/android/tune/tune.py b/tune/android/tune/tune.py
index cd00bfbe9..d0ece12ce 100644
--- a/tune/android/tune/tune.py
+++ b/tune/android/tune/tune.py
@@ -99,34 +99,23 @@ class Tuner:
             if level=='simple':
                 sizes = [(2560,2560,2560)]
             elif level=='intermediate':
-                sizes = [#Square
+               sizes = [#Square
                          (896,896,896),
-			 (1536,1536,1536),
-			 (2176, 2176,2176),
+                         (1536,1536,1536),
+                         (2176, 2176,2176),
                          #Rank-32 updates
                          (896,896,32),
                          (1536,1536,32),
                          (2176,2176,32),
                          #Covariance
-			 (32,32,16000),
-			 (64,64,64000),
-                         (256,256,32000),
-                         #Convolutions
-                         (3025,64,363),
-                         (729,192,1200),
-                         (169,384,1728),
-                         (169,256,3456),
-                         (169,128,2304),
-                         (169,2304,256),
-                         (169,3456,256),
-                         (169,1728,384),
-                         (729,1600,192),
-                         (3025,363,64), 
-                         (2304,256,169),
-                         (3456,256,169),
-                         (1728,384,169),
-                         (1600,192,729),
-                         (363,64,3025)]
+                         (32,32,16000),
+                         (64,64,64000),
+                         (256,256,32000)]
+               #DeepSpeech
+               sizes = []
+               for MK in [1760, 2048, 2560]:
+                   for N in [16, 32, 64, 128, MK]:
+                       sizes += [(MK, N, MK)]
             elif level=='full':
 			    sizes = product(pow2range(5, 12), pow2range(5, 12), pow2range(5, 17))
 
@@ -188,15 +177,20 @@ class Tuner:
                     clf = RandomForestRegressor(min(10, idx+1), max_depth=min(10, idx+1)).fit(X, Y)
                     #clf, nrmse = model.train(X, Y, profiles)
                     predperf = clf.predict(x)[0]
-                    best = (-predperf).argsort()[:5]
+                    best = (-predperf).argsort()
                     perf = []
                     for b in best:
                         try:
                             perf += [performance(x, tools.benchmark(operation, profiles[b], tree))]
+                            break
                         except profile_execution_failure:
                             pass
-                    predicted = profiles[best[argmax(perf)]]
-                retune = not optimize.is_local_optimum(predicted, operation, x, context)
+                    if perf:
+                        predicted = profiles[best[argmax(perf)]]
+                        retune = not optimize.is_local_optimum(predicted, operation, x, context)
+                    else:
+                        retune = True
+                        predicted = None
                 
             #Retune if necessary
             if retune: