1 files changed, 153 insertions, 0 deletions
diff --git a/compiler/moco/pass/src/Passes/ResolveReshapeWildcardDim.cpp b/compiler/moco/pass/src/Passes/ResolveReshapeWildcardDim.cpp
new file mode 100644
index 000000000..3446716cb
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+++ b/compiler/moco/pass/src/Passes/ResolveReshapeWildcardDim.cpp
@@ -0,0 +1,153 @@
+/*
+ * Copyright (c) 2019 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 "moco/Pass/Passes/ResolveReshapeWildcardDim.h"
+
+#include <moco/Support/TFShapeInferenceHelper.h>
+#include <moco/Support/NodeAs.h>
+
+#include <moco/IR/Nodes/TFReshape.h>
+#include <moco/IR/Nodes/TFConst.h>
+
+#include <cassert>
+#include <limits>
+
+namespace
+{
+
+/**
+ * @return  true  when 'node' has one and only one wildcard dimension
+ * @return  false when 'node' has no wildcard dimension, i.e. fixed reshape case
+ *
+ * @note  Assertions in this function are sanity check for 'node', Reshape's
+ *        Const shape input
+ */
+bool has_one_wildcard_dim(const moco::TFConst *node)
+{
+  assert(node->dtype() == loco::DataType::S32);
+  assert(node->rank() == 1);
+
+  auto len = node->dim(0).value();
+  assert(len > 0);
+
+  // Must have one and only wildcard dimension(-1)
+  uint32_t count_wildcard_dim = 0;
+  for (uint32_t i = 0; i < len; ++i)
+  {
+    auto dim = node->at<loco::DataType::S32>(i);
+    if (dim == -1)
+      count_wildcard_dim++;
+    else
+      assert(dim >= 1);
+  }
+
+  assert(count_wildcard_dim <= 1 &&
+         "Invalid Reshape: there should be none or only one wildcard dimension");
+  return count_wildcard_dim;
+}
+
+uint32_t volume(const loco::TensorShape &shape)
+{
+  uint32_t ret = 1;
+  auto rank = shape.rank();
+  for (uint32_t axis = 0; axis < rank; ++axis)
+  {
+    ret *= shape.dim(axis).value();
+  }
+  return ret;
+}
+
+void deduce_and_fix_wildcard_dim(moco::TFConst *node, const loco::NodeShape &tensor_input_shape)
+{
+  assert(has_one_wildcard_dim(node));
+
+  assert(tensor_input_shape.domain() == loco::Domain::Tensor);
+  auto shape = tensor_input_shape.as<loco::TensorShape>();
+
+  auto len = node->dim(0).value();
+  uint32_t wildcard_index = std::numeric_limits<uint32_t>::max();
+  uint32_t product_of_non_wildcard_dims = 1;
+
+  // Deduce
+  for (uint32_t i = 0; i < len; ++i)
+  {
+    auto dim = node->at<loco::DataType::S32>(i);
+    if (dim == -1)
+    {
+      wildcard_index = i;
+    }
+    else
+    {
+      product_of_non_wildcard_dims *= dim;
+    }
+  }
+  assert(wildcard_index != std::numeric_limits<uint32_t>::max());
+
+  // Fix
+  assert(volume(shape) % product_of_non_wildcard_dims == 0);
+  node->at<loco::DataType::S32>(wildcard_index) = volume(shape) / product_of_non_wildcard_dims;
+}
+
+/**
+ * WHEN:
+ *   - TFReshape's shape input is TFConst
+ *   - The TFConst is valid shape input for dynamic reshape, i.e. it has one and
+ *     only wildcard dimension(-1)
+ *   - TFReshape's tensor input has complete shape inference data
+ * DO:
+ *   - Deduce what the wildcard dimension is and fix it
+ */
+bool resolve_wildcard_dim(moco::TFReshape *reshape)
+{
+  // Check conditions (WHEN)
+  auto const_shape_input = dynamic_cast<moco::TFConst *>(reshape->shape());
+  if (!const_shape_input)
+    return false;
+
+  if (!has_one_wildcard_dim(const_shape_input))
+    return false;
+
+  auto tensor_input_shape = moco::node_shape(reshape->tensor());
+  if (tensor_input_shape.domain() == loco::Domain::Unknown)
+    return false;
+
+  // Deduce (DO)
+  deduce_and_fix_wildcard_dim(const_shape_input, tensor_input_shape);
+
+  return true;
+}
+
+} // namespace
+
+namespace moco
+{
+
+bool ResolveReshapeWildcardDim::run(loco::Graph *graph)
+{
+  bool changed = false;
+  for (auto node : loco::active_nodes(loco::output_nodes(graph)))
+  {
+    if (auto reshape = as<moco::TFReshape>(node))
+    {
+      if (resolve_wildcard_dim(reshape))
+        changed = true;
+    }
+  }
+
+  return changed;
+}
+
+} // namespace moco