[moco/tf] Record Graph-Level Input/Output Shape (#4357)

moco.tf frontend now records graph-level input/output shape.

Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>

diff --git a/compiler/moco-tf/src/Frontend.cpp b/compiler/moco-tf/src/Frontend.cpp
index 45a741c..633d883 100644 (file)
--- a/compiler/moco-tf/src/Frontend.cpp
+++ b/compiler/moco-tf/src/Frontend.cpp
@@ -101,6 +101,20 @@ void load_tf(std::istream *stream, moco::tf::Frontend::FileType type,
 
 } // namespace
 
+// TODO Find a proper place for this function
+#include "Annotations/ShapeInferenceData.h"
+
+namespace
+{
+
+loco::TensorShape tensor_shape(loco::Node *node)
+{
+  assert(node->annot<moco::tf::ShapeInferenceData>() != nullptr);
+  return node->annot<moco::tf::ShapeInferenceData>()->tensor_shape();
+}
+
+} // namespace
+
 namespace moco
 {
 namespace tf
@@ -161,6 +175,21 @@ std::unique_ptr<loco::Graph> Frontend::import(const ModelSignature &signature,
   // Transform TFNodes
   tfoptimizier.optimize(graph.get());
 
+  // Fill graph-level input/output shape
+  //
+  // ASSUMPTION! All the shapes are known at this point
+  for (uint32_t n = 0; n < graph->inputs()->size(); ++n)
+  {
+    auto input = graph->inputs()->at(n);
+    input->shape(stdex::make_unique<loco::TensorShape>(tensor_shape(input->node())));
+  }
+
+  for (uint32_t n = 0; n < graph->outputs()->size(); ++n)
+  {
+    auto output = graph->outputs()->at(n);
+    output->shape(stdex::make_unique<loco::TensorShape>(tensor_shape(output->node())));
+  }
+
   // Convert graph to hold only Canonical dialect
   Canonicalizer canonicalizer;
 

diff --git a/compiler/moco-tf/src/Frontend.test.cpp b/compiler/moco-tf/src/Frontend.test.cpp
new file mode 100644 (file)
index 0000000..57a9eb7
--- /dev/null
+++ b/compiler/moco-tf/src/Frontend.test.cpp
@@ -0,0 +1,83 @@
+/*
+ * 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/tf/Frontend.h"
+
+#include "TestHelper.h"
+
+#include <sstream>
+
+#include <gtest/gtest.h>
+
+namespace
+{
+
+// clang-format off
+const char *pbtxt_000 = STRING_CONTENT(
+node {
+  name: "Placeholder"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value { type: DT_FLOAT }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim { size: 4 }
+      }
+    }
+  }
+}
+node {
+  name: "Identity"
+  op: "Identity"
+  input: "Placeholder"
+  attr {
+    key: "T"
+    value { type: DT_FLOAT }
+  }
+}
+);
+// clang-format on
+
+} // namespace
+
+TEST(FrontendTests, testcase_000)
+{
+  moco::tf::Frontend frontend;
+  moco::tf::ModelSignature signature;
+
+  signature.add_input(moco::tf::TensorName("Placeholder", 0));
+  signature.add_output(moco::tf::TensorName("Identity", 0));
+
+  std::stringstream ss{pbtxt_000};
+
+  auto graph = frontend.load(signature, &ss, moco::tf::Frontend::FileType::Text);
+
+  ASSERT_EQ(graph->inputs()->size(), 1);
+  ASSERT_EQ(graph->inputs()->at(0)->name(), "Placeholder");
+  ASSERT_NE(graph->inputs()->at(0)->shape(), nullptr);
+  ASSERT_EQ(graph->inputs()->at(0)->shape()->rank(), 1);
+  ASSERT_EQ(graph->inputs()->at(0)->shape()->dim(0), 4);
+
+  ASSERT_EQ(graph->outputs()->size(), 1);
+  ASSERT_EQ(graph->outputs()->at(0)->name(), "Identity");
+  ASSERT_NE(graph->outputs()->at(0)->shape(), nullptr);
+  ASSERT_EQ(graph->outputs()->at(0)->shape()->rank(), 1);
+  ASSERT_EQ(graph->outputs()->at(0)->shape()->dim(0), 4);
+}