cblas may need initialized memory

4 files changed, 7 insertions, 7 deletions

diff --git a/eval/src/vespa/eval/instruction/dense_matmul_function.cpp b/eval/src/vespa/eval/instruction/dense_matmul_function.cpp
index a70f7ef3518..5d4ebb88931 100644
--- a/eval/src/vespa/eval/instruction/dense_matmul_function.cpp
+++ b/eval/src/vespa/eval/instruction/dense_matmul_function.cpp
@@ -51,7 +51,7 @@ void my_cblas_double_matmul_op(InterpretedFunction::State &state, uint64_t param
     const DenseMatMulFunction::Self &self = unwrap_param<DenseMatMulFunction::Self>(param);
     auto lhs_cells = state.peek(1).cells().typify<double>();
     auto rhs_cells = state.peek(0).cells().typify<double>();
-    auto dst_cells = state.stash.create_uninitialized_array<double>(self.lhs_size * self.rhs_size);
+    auto dst_cells = state.stash.create_array<double>(self.lhs_size * self.rhs_size);
     cblas_dgemm(CblasRowMajor, lhs_common_inner ? CblasNoTrans : CblasTrans, rhs_common_inner ? CblasTrans : CblasNoTrans,
                 self.lhs_size, self.rhs_size, self.common_size, 1.0,
                 lhs_cells.cbegin(), lhs_common_inner ? self.common_size : self.lhs_size,
@@ -65,7 +65,7 @@ void my_cblas_float_matmul_op(InterpretedFunction::State &state, uint64_t param)
     const DenseMatMulFunction::Self &self = unwrap_param<DenseMatMulFunction::Self>(param);
     auto lhs_cells = state.peek(1).cells().typify<float>();
     auto rhs_cells = state.peek(0).cells().typify<float>();
-    auto dst_cells = state.stash.create_uninitialized_array<float>(self.lhs_size * self.rhs_size);
+    auto dst_cells = state.stash.create_array<float>(self.lhs_size * self.rhs_size);
     cblas_sgemm(CblasRowMajor, lhs_common_inner ? CblasNoTrans : CblasTrans, rhs_common_inner ? CblasTrans : CblasNoTrans,
                 self.lhs_size, self.rhs_size, self.common_size, 1.0,
                 lhs_cells.cbegin(), lhs_common_inner ? self.common_size : self.lhs_size,
diff --git a/eval/src/vespa/eval/instruction/dense_multi_matmul_function.cpp b/eval/src/vespa/eval/instruction/dense_multi_matmul_function.cpp
index 04da12af19a..42e7deb9523 100644
--- a/eval/src/vespa/eval/instruction/dense_multi_matmul_function.cpp
+++ b/eval/src/vespa/eval/instruction/dense_multi_matmul_function.cpp
@@ -27,7 +27,7 @@ void my_cblas_double_multi_matmul_op(InterpretedFunction::State &state, uint64_t
     size_t num_blocks = self.matmul_cnt();
     const CT *lhs = state.peek(1).cells().typify<CT>().cbegin();
     const CT *rhs = state.peek(0).cells().typify<CT>().cbegin();
-    auto dst_cells = state.stash.create_uninitialized_array<CT>(dst_block_size * num_blocks);
+    auto dst_cells = state.stash.create_array<CT>(dst_block_size * num_blocks);
     CT *dst = dst_cells.begin();
     for (size_t i = 0; i < num_blocks; ++i, lhs += lhs_block_size, rhs += rhs_block_size, dst += dst_block_size) {
         cblas_dgemm(CblasRowMajor, self.lhs_common_inner() ? CblasNoTrans : CblasTrans, self.rhs_common_inner() ? CblasTrans : CblasNoTrans,
@@ -48,7 +48,7 @@ void my_cblas_float_multi_matmul_op(InterpretedFunction::State &state, uint64_t
     size_t num_blocks = self.matmul_cnt();
     const CT *lhs = state.peek(1).cells().typify<CT>().cbegin();
     const CT *rhs = state.peek(0).cells().typify<CT>().cbegin();
-    auto dst_cells = state.stash.create_uninitialized_array<CT>(dst_block_size * num_blocks);
+    auto dst_cells = state.stash.create_array<CT>(dst_block_size * num_blocks);
     CT *dst = dst_cells.begin();
     for (size_t i = 0; i < num_blocks; ++i, lhs += lhs_block_size, rhs += rhs_block_size, dst += dst_block_size) {
         cblas_sgemm(CblasRowMajor, self.lhs_common_inner() ? CblasNoTrans : CblasTrans, self.rhs_common_inner() ? CblasTrans : CblasNoTrans,
diff --git a/eval/src/vespa/eval/instruction/dense_simple_expand_function.cpp b/eval/src/vespa/eval/instruction/dense_simple_expand_function.cpp
index c3bc1fe62d6..d0318d371f5 100644
--- a/eval/src/vespa/eval/instruction/dense_simple_expand_function.cpp
+++ b/eval/src/vespa/eval/instruction/dense_simple_expand_function.cpp
@@ -43,7 +43,7 @@ void my_simple_expand_op(State &state, uint64_t param) {
     OP my_op(params.function);
     auto inner_cells = state.peek(rhs_inner ? 0 : 1).cells().typify<ICT>();
     auto outer_cells = state.peek(rhs_inner ? 1 : 0).cells().typify<OCT>();
-    auto dst_cells = state.stash.create_uninitialized_array<DCT>(params.result_size);
+    auto dst_cells = state.stash.create_array<DCT>(params.result_size);
     DCT *dst = dst_cells.begin();
     for (OCT outer_cell: outer_cells) {
         apply_op2_vec_num(dst, inner_cells.begin(), outer_cell, inner_cells.size(), my_op);
diff --git a/eval/src/vespa/eval/instruction/dense_xw_product_function.cpp b/eval/src/vespa/eval/instruction/dense_xw_product_function.cpp
index d5c512ad477..44332bbacee 100644
--- a/eval/src/vespa/eval/instruction/dense_xw_product_function.cpp
+++ b/eval/src/vespa/eval/instruction/dense_xw_product_function.cpp
@@ -48,7 +48,7 @@ void my_cblas_double_xw_product_op(InterpretedFunction::State &state, uint64_t p
     const DenseXWProductFunction::Self &self = unwrap_param<DenseXWProductFunction::Self>(param);
     auto vector_cells = state.peek(1).cells().typify<double>();
     auto matrix_cells = state.peek(0).cells().typify<double>();
-    auto dst_cells = state.stash.create_uninitialized_array<double>(self.result_size);
+    auto dst_cells = state.stash.create_array<double>(self.result_size);
     cblas_dgemv(CblasRowMajor, common_inner ? CblasNoTrans : CblasTrans,
                 common_inner ? self.result_size : self.vector_size,
                 common_inner ? self.vector_size : self.result_size,
@@ -62,7 +62,7 @@ void my_cblas_float_xw_product_op(InterpretedFunction::State &state, uint64_t pa
     const DenseXWProductFunction::Self &self = unwrap_param<DenseXWProductFunction::Self>(param);
     auto vector_cells = state.peek(1).cells().typify<float>();
     auto matrix_cells = state.peek(0).cells().typify<float>();
-    auto dst_cells = state.stash.create_uninitialized_array<float>(self.result_size);
+    auto dst_cells = state.stash.create_array<float>(self.result_size);
     cblas_sgemv(CblasRowMajor, common_inner ? CblasNoTrans : CblasTrans,
                 common_inner ? self.result_size : self.vector_size,
                 common_inner ? self.vector_size : self.result_size,