1 files changed, 70 insertions, 0 deletions
diff --git a/compiler/luci-interpreter/src/loader/nodes/BatchMatMul.cpp b/compiler/luci-interpreter/src/loader/nodes/BatchMatMul.cpp
new file mode 100644
index 000000000..9da2f6d93
--- /dev/null
+++ b/compiler/luci-interpreter/src/loader/nodes/BatchMatMul.cpp
@@ -0,0 +1,70 @@
+/*
+ * Copyright (c) 2022 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Builders.h"
+
+#include "kernels/BatchMatMul.h"
+#include <luci/Plan/CircleNodeExecutionPlan.h>
+
+namespace luci_interpreter
+{
+
+std::unique_ptr<Kernel> build_kernel_CircleBatchMatMul(const luci::CircleNode *circle_node,
+                                                       KernelBuilderHelper &helper)
+{
+  const auto *node = loco::must_cast<const luci::CircleBatchMatMul *>(circle_node);
+  assert(node->arity() == 2);
+
+  const Tensor *lhs = helper.getInputTensor(node->x());
+  const Tensor *rhs = helper.getInputTensor(node->y());
+  Tensor *output = helper.getOutputTensor(node);
+
+  auto lhs_scratchpad =
+    std::make_unique<Tensor>(lhs->element_type(), Shape({}), AffineQuantization{}, "");
+  lhs_scratchpad->set_observable(false);
+  lhs_scratchpad->set_data_buffer(nullptr);
+  auto rhs_scratchpad =
+    std::make_unique<Tensor>(rhs->element_type(), Shape({}), AffineQuantization{}, "");
+  rhs_scratchpad->set_observable(false);
+  rhs_scratchpad->set_data_buffer(nullptr);
+  // If node has execution plan then read memory offsets for scratchpad temporary tensor
+  // from the beginning of shared memory buffer.
+  // Used in Static Memory Manager.
+  // TODO move tensors offset initialization to one place
+  if (luci::has_execution_plan(node))
+  {
+    const auto execution_plan = luci::get_execution_plan(node);
+    // Check whether the offset for the current BatchMatMul temporary was found.
+    if (execution_plan.offsets().size() > 1)
+    {
+      assert(execution_plan.offsets().size() == 3);
+
+      // If this is true, then we keep this offset in scratchpad.
+      lhs_scratchpad->set_offset(execution_plan.offsets().at(1));
+      rhs_scratchpad->set_offset(execution_plan.offsets().at(2));
+    }
+  }
+  Tensor *lhs_tmp = helper.getRuntimeGraph(node->graph())->addTensor(std::move(lhs_scratchpad));
+  Tensor *rhs_tmp = helper.getRuntimeGraph(node->graph())->addTensor(std::move(rhs_scratchpad));
+
+  BatchMatMulParams params;
+  params.adj_x = node->adj_x();
+  params.adj_y = node->adj_y();
+
+  return std::make_unique<kernels::BatchMatMul>(lhs, rhs, output, lhs_tmp, rhs_tmp, params);
+}
+
+} // namespace luci_interpreter