!3688 Add deconv parser

Merge pull request !3688 from ghzl/add-deconv-parser

mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.cc

+/**
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * 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 <vector>
+#include <memory>
+#include "tools/converter/parser/tflite/tflite_deconv_parser.h"
+
+namespace mindspore {
+namespace lite {
+STATUS TfliteDeConvParser::Parse(const std::unique_ptr<tflite::OperatorT> &tflite_op,
+                               const std::vector<std::unique_ptr<tflite::TensorT>> &tflite_tensors,
+                               const std::vector<std::unique_ptr<tflite::BufferT>> &tflite_model_buffer,
+                               const std::vector<std::unique_ptr<tflite::OperatorCodeT>> &tflite_op_set,
+                               schema::CNodeT *op,
+                               TensorCache *tensor_cache, bool quantized_model) {
+  MS_LOG(DEBUG) << "parse tflite Transpose_Conv parser";
+  std::unique_ptr<schema::DeConv2DT> attr(new schema::DeConv2DT());
+  const auto &tflite_attr = tflite_op->builtin_options.AsTransposeConvOptions();
+  if (tflite_attr == nullptr) {
+    MS_LOG(ERROR) << "get op: %s attr failed", op->name.c_str();
+    return RET_NULL_PTR;
+  }
+  attr->group = 1;
+  attr->strideW = tflite_attr->stride_w;
+  attr->strideH = tflite_attr->stride_h;
+  attr->dilateH = 1;
+  attr->dilateW = 1;
+  attr->padMode = GetPadMode(tflite_attr->padding);
+  attr->format = schema::Format_NHWC;
+  // get the conv op weight tensor
+  auto weight_index = tflite_op->inputs[1];
+  const auto &weight_tensor = tflite_tensors[weight_index];
+  std::vector<tflite::TensorT *> weight_tensors{weight_tensor.get()};
+
+  if (RET_OK != ParseWeight(weight_tensors, tflite_model_buffer, tensor_cache, schema::Format_KHWC)) {
+    return RET_ERROR;
+  }
+  auto weight_shape = weight_tensor->shape;
+  attr->channelIn = weight_shape[KHWC_C];
+  attr->channelOut = weight_shape[KHWC_K];
+  attr->kernelW = weight_shape[KHWC_W];
+  attr->kernelH = weight_shape[KHWC_H];
+
+  if (op != nullptr) {
+    op->primitive = std::make_unique<schema::PrimitiveT>();
+    op->primitive->value.type = schema::PrimitiveType_DeConv2D;
+    op->primitive->value.value = attr.release();
+  }
+  return RET_OK;
+}
+
+TfliteNodeRegister g_tfliteDeConv2DParser("DeConv2D", new TfliteDeConvParser());
+}  // namespace lite
+}  // namespace mindspore
+

mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.h

+/**
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * 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.
+ */
+
+#ifndef PREDICT_TFLITE_DECONV_PARSER_H
+#define PREDICT_TFLITE_DECONV_PARSER_H
+
+#include <memory>
+#include <vector>
+#include "tools/converter/parser/tflite/tflite_node_parser.h"
+#include "tools/converter/parser/tflite/tflite_node_parser_registry.h"
+
+namespace mindspore {
+namespace lite {
+class TfliteDeConvParser : public TfliteNodeParser {
+ public:
+  TfliteDeConvParser() : TfliteNodeParser("DeConv2D") {}
+
+  STATUS Parse(const std::unique_ptr<tflite::OperatorT> &tflite_op,
+               const std::vector<std::unique_ptr<tflite::TensorT>> &tflite_tensors,
+               const std::vector<std::unique_ptr<tflite::BufferT>> &tflite_model_buffer,
+               const std::vector<std::unique_ptr<tflite::OperatorCodeT>> &tflite_op_set, schema::CNodeT *op,
+               TensorCache *tensor_cache,
+               bool quantizedModel) override;
+};
+}  // namespace lite
+}  // namespace mindspore
+
+#endif  // PREDICT_TFLITE_DECONV_PARSER_H

mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.cc

@@ -112,10 +112,17 @@ STATUS TfliteModelParser::SetOpOutputIdx(const std::unique_ptr<tflite::SubGraphT
   return RET_OK;
 }
 
-STATUS TfliteModelParser::SetOpInputIdx(const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph,
+STATUS TfliteModelParser::SetOpInputIdx(const std::unique_ptr<tflite::ModelT> &tflite_model,
+                                        const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph,
                                         const std::unique_ptr<tflite::OperatorT> &tflite_op, TensorCache *tensorCache) {
-  for (const auto &tfliteIndex : tflite_op->inputs) {
-    const auto &tflite_tensor = tflite_subgraph->tensors[tfliteIndex];
+  auto op_type = GetTfliteNodeType(tflite_op, tflite_model);
+  std::vector<int32_t> op_inputs(tflite_op->inputs);
+  if (op_type == "DeConv2D") {
+    reverse(op_inputs.begin(), op_inputs.end());
+  }
+
+  for (const auto &tflite_index : op_inputs) {
+    const auto &tflite_tensor = tflite_subgraph->tensors[tflite_index];
     auto tensor_name = tflite_tensor->name;
     auto op = tfliteOpMap[tflite_op.get()];
     unsigned int index = tensorCache->FindTensor(tensor_name);
@@ -228,8 +235,8 @@ MetaGraphT *TfliteModelParser::Parse(const std::string &modelFile, const std::st
   }
 
   for (const auto &tflite_op : tflite_subgraph->operators) {
-    auto statusTmp = SetOpInputIdx(tflite_subgraph, tflite_op, &tensorCache);
-    if (statusTmp != RET_OK) {
+    auto status_tmp = SetOpInputIdx(tflite_model, tflite_subgraph, tflite_op, &tensorCache);
+    if (status_tmp != RET_OK) {
       // MS_LOGE("Set Op %s Input Index Failed!", tfliteOpMap.at(tflite_op.get())->name.c_str());
     }
   }

mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.h

@@ -73,7 +73,8 @@ class TfliteModelParser : public ModelParser {
                         schema::CNodeT *op,
                         TensorCache *tensorCache);
 
-  STATUS SetOpInputIdx(const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph,
+  STATUS SetOpInputIdx(const std::unique_ptr<tflite::ModelT> &tflite_model,
+                       const std::unique_ptr<tflite::SubGraphT> &tflite_subgraph,
                        const std::unique_ptr<tflite::OperatorT> &tflite_op, TensorCache *tensorCache);
 
   std::map<std::string, schema::CNodeT *> opMap;

mindspore/lite/tools/converter/parser/tflite/tflite_util.cc

@@ -55,6 +55,7 @@ std::map<tflite::BuiltinOperator, std::string> tfMsOpTypeMap{
   {tflite::BuiltinOperator_ARG_MAX, "Argmax"},
   {tflite::BuiltinOperator_SQUARED_DIFFERENCE, "SquaredDifference"},
   {tflite::BuiltinOperator_FAKE_QUANT, "FakeQuant"},
+  {tflite::BuiltinOperator_TRANSPOSE_CONV, "DeConv2D"},
 };
 
 std::string GetMSOpType(tflite::BuiltinOperator tfliteOpType) {