1 files changed, 88 insertions, 0 deletions
diff --git a/runtime/contrib/pure_arm_compute/src/internal/op/StridedSlice.cc b/runtime/contrib/pure_arm_compute/src/internal/op/StridedSlice.cc
new file mode 100644
index 000000000..6e7958954
--- /dev/null
+++ b/runtime/contrib/pure_arm_compute/src/internal/op/StridedSlice.cc
@@ -0,0 +1,88 @@
+/*
+ * Copyright (c) 2018 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 "internal/op/StridedSlice.h"
+#include "internal/op/NodeVisitor.h"
+
+#include <cassert>
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace StridedSlice
+{
+
+void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
+
+} // namespace StridedSlice
+} // namespace op
+} // namespace tflite
+} // namespace internal
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace StridedSlice
+{
+
+Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount,
+             const uint32_t *outputs)
+{
+  assert(inputCount == 7 && outputCount == 1);
+
+  outputData_index = outputs[0];
+
+  // Each input should be interpreted as follows:
+  //
+  //  0 -> An n-D tensor, specifying the tensor to be sliced.
+  //  1 -> A 1-D Tensor of {@link ANEURALNETWORKS_TENSOR_INT32}, the starts of
+  //       the dimensions of the input tensor to be sliced. The length must be
+  //       of rank(input0).
+  //  2 -> A 1-D Tensor of {@link ANEURALNETWORKS_TENSOR_INT32}, the ends of
+  //       the dimensions of the input tensor to be sliced. The length must be
+  //       of rank(input0).
+  //  3 -> A 1-D Tensor of {@link ANEURALNETWORKS_TENSOR_INT32}, the strides of
+  //       the dimensions of the input tensor to be sliced. The length must be
+  //       of rank(input0).
+  //  4 -> An {@link ANEURALNETWORKS_INT32} scalar, begin_mask. If the ith bit
+  //       of begin_mask is set, begin[i] is ignored and the fullest possible
+  //       range in that dimension is used instead.
+  //  5 -> An {@link ANEURALNETWORKS_INT32} scalar, end_mask. If the ith bit of
+  //       end_mask is set, end[i] is ignored and the fullest possible range in
+  //       that dimension is used instead.
+  //  6 -> An {@link ANEURALNETWORKS_INT32} scalar, shrink_axis_mask. An int32
+  //       mask. If the ith bit of shrink_axis_mask is set, it implies that the
+  //       ith specification shrinks the dimensionality by 1. A slice of size 1
+  //       starting from begin[i] in the dimension must be preserved.
+  inputData_index = inputs[0];
+  startData_index = inputs[1];
+  endData_index = inputs[2];
+  stridesData_index = inputs[3];
+  beginMask_index = inputs[4];
+  endMask_index = inputs[5];
+  shrinkAxisMask_index = inputs[6];
+}
+
+} // namespace StridedSlice
+} // namespace op
+} // namespace tflite
+} // namespace internal