Refine java api, add write_to_array and read_from_array op

src/common/log.h

@@ -85,18 +85,18 @@ struct Print {
 
  private:
   void print(LogLevel level) {
-    buffer_ << std::endl;
+    // buffer_ << std::endl;
     if (level == kLOG_ERROR) {
-      std::cerr << buffer_.str();
+      std::cerr << buffer_.str() << std::endl;
     } else {
-      std::cout << buffer_.str();
+      std::cout << buffer_.str() << std::endl;
     }
   }
   std::ostringstream buffer_;
 };
 
 struct ToLog {
-  ToLog(LogLevel level = kLOG_DEBUG, const std::string &info = "")
+  explicit ToLog(LogLevel level = kLOG_DEBUG, const std::string &info = "")
       : level_(level) {
     unsigned blanks =
         (unsigned)(level > kLOG_DEBUG ? (level - kLOG_DEBUG) * 4 : 1);

src/common/types.cpp

@@ -81,6 +81,8 @@ const char *G_OP_TYPE_LOGICAL_AND = "logical_and";
 const char *G_OP_TYPE_LOGICAL_OR = "logical_or";
 const char *G_OP_TYPE_LOGICAL_NOT = "logical_not";
 const char *G_OP_TYPE_LOGICAL_XOR = "logical_xor";
+const char *G_OP_TYPE_WRITE_TO_ARRAY = "write_to_array";
+const char *G_OP_TYPE_READ_FROM_ARRAY = "read_from_array";
 
 const char *G_OP_TYPE_QUANTIZE = "quantize";
 const char *G_OP_TYPE_DEQUANTIZE = "dequantize";
@@ -189,5 +191,7 @@ std::unordered_map<
         {G_OP_TYPE_LOGICAL_AND, {{"X", "Y"}, {"Out"}}},
         {G_OP_TYPE_LOGICAL_OR, {{"X", "Y"}, {"Out"}}},
         {G_OP_TYPE_LOGICAL_XOR, {{"X", "Y"}, {"Out"}}},
-        {G_OP_TYPE_LOGICAL_NOT, {{"X"}, {"Out"}}}};
+        {G_OP_TYPE_LOGICAL_NOT, {{"X"}, {"Out"}}},
+        {G_OP_TYPE_WRITE_TO_ARRAY, {{"X", "I"}, {"Out"}}},
+        {G_OP_TYPE_READ_FROM_ARRAY, {{"X", "I"}, {"Out"}}}};
 }  // namespace paddle_mobile

src/common/types.h

@@ -170,6 +170,8 @@ extern const char *G_OP_TYPE_LOGICAL_AND;
 extern const char *G_OP_TYPE_LOGICAL_OR;
 extern const char *G_OP_TYPE_LOGICAL_NOT;
 extern const char *G_OP_TYPE_LOGICAL_XOR;
+extern const char *G_OP_TYPE_WRITE_TO_ARRAY;
+extern const char *G_OP_TYPE_READ_FROM_ARRAY;
 
 extern const char *G_OP_TYPE_QUANTIZE;
 extern const char *G_OP_TYPE_DEQUANTIZE;

src/framework/attribute.h

@@ -90,6 +90,10 @@ class Attribute {
         attr.Set<int64_t>(attr_desc->l);
         break;
       }
+      case PADDLE_MOBILE__FRAMEWORK__PROTO__ATTR_TYPE__BLOCK: {
+        attr.Set<int>(attr_desc->block_idx);
+        break;
+      }
       default:
         PADDLE_MOBILE_THROW_EXCEPTION("attr type not support");
     }

src/framework/executor.cpp

@@ -65,6 +65,7 @@ Executor<Device, T>::Executor(const Program<Device> &program,
     for (int j = 0; j < ops.size(); ++j) {
       std::shared_ptr<OpDesc> op_desc = ops[j];
       DLOG << "create op: " << op_desc->Type();
+
       auto op_handler = OpRegistry<Device>::CreateOp(
           op_desc->Type(), op_desc->GetInputs(), op_desc->GetOutputs(),
           op_desc->GetAttrMap(), program_.scope);

src/framework/load_ops.h

@@ -297,3 +297,12 @@ LOAD_OP1(logical_not, CPU);
 #ifdef LOGICAL_XOR_OP
 LOAD_OP1(logical_xor, CPU);
 #endif
+#ifdef WHILE_OP
+LOAD_OP1(while, CPU);
+#endif
+#ifdef WRITE_TO_ARRAY_OP
+LOAD_OP1(write_to_array, CPU);
+#endif
+#ifdef READ_FROM_ARRAY_OP
+LOAD_OP1(read_from_array, CPU);
+#endif

src/framework/lod_tensor.h

@@ -176,6 +176,8 @@ LoDTensor LodExpand(const LoDTensor &source, const LoD &lod, size_t level) {
   return tensor;
 }
 
+using LoDTensorArray = std::vector<LoDTensor>;
+
 // Get the absolute offset of a lod[start_level][start_idx:end_idx] and
 // relative length of details for every levels(i.e., [start_level: ]).
 //

src/framework/program/op_desc.cpp

@@ -41,9 +41,7 @@ OpDesc::OpDesc(PaddleMobile__Framework__Proto__OpDesc *desc) {
   for (int k = 0; k < desc->n_attrs; ++k) {
     PaddleMobile__Framework__Proto__OpDesc__Attr *attr = desc->attrs[k];
     std::string attr_name(attr->name);
-    if (attr->type != PADDLE_MOBILE__FRAMEWORK__PROTO__ATTR_TYPE__BLOCK) {
-      attrs_[attr_name] = Attribute::GetAttrValue(attr);
-    }
+    attrs_[attr_name] = Attribute::GetAttrValue(attr);
   }
 }
 

src/io/jni/paddle_mobile_jni.cpp

@@ -90,7 +90,8 @@ JNIEXPORT jboolean JNICALL Java_com_baidu_paddle_PML_loadQualified(
 #ifdef ENABLE_EXCEPTION
   try {
     isLoadOk = getPaddleMobileInstance()->Load(
-        jstring2cppstring(env, modelPath), optimize, qualified);
+        jstring2cppstring(env, modelPath), optimize, qualified, 1,
+        static_cast<bool>(lodMode));
   } catch (paddle_mobile::PaddleMobileException &e) {
     ANDROIDLOGE("jni got an PaddleMobileException! ", e.what());
     isLoadOk = false;
@@ -116,7 +117,7 @@ JNIEXPORT jboolean JNICALL Java_com_baidu_paddle_PML_loadCombined(
   try {
     isLoadOk = getPaddleMobileInstance()->Load(
         jstring2cppstring(env, modelPath), jstring2cppstring(env, paramPath),
-        optimize);
+        optimize, false, 1, static_cast<bool>(lodMode));
   } catch (paddle_mobile::PaddleMobileException &e) {
     ANDROIDLOGE("jni got an PaddleMobileException! ", e.what());
     isLoadOk = false;
@@ -142,7 +143,7 @@ JNIEXPORT jboolean JNICALL Java_com_baidu_paddle_PML_loadCombinedQualified(
   try {
     isLoadOk = getPaddleMobileInstance()->Load(
         jstring2cppstring(env, modelPath), jstring2cppstring(env, paramPath),
-        optimize, qualified);
+        optimize, qualified, 1, static_cast<bool>(lodMode));
   } catch (paddle_mobile::PaddleMobileException &e) {
     ANDROIDLOGE("jni got an PaddleMobileException! ", e.what());
     isLoadOk = false;

src/operators/controlflow/tensor_array_read_write_op.cpp

+/* Copyright (c) 2018 PaddlePaddle Authors. 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 "operators/controlflow/tensor_array_read_write_op.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+#ifdef WRITE_TO_ARRAY_OP
+template <typename Dtype, typename T>
+void WriteToArrayOp<Dtype, T>::InferShape() const {}
+#endif  // WRITE_TO_ARRAY_OP
+
+#ifdef READ_FROM_ARRAY_OP
+template <typename Dtype, typename T>
+void ReadFromArrayOp<Dtype, T>::InferShape() const {}
+#endif  // READ_FROM_ARRAY_OP
+
+}  // namespace operators
+}  // namespace paddle_mobile
+
+namespace ops = paddle_mobile::operators;
+
+#ifdef PADDLE_MOBILE_CPU
+#ifdef WRITE_TO_ARRAY_OP
+REGISTER_OPERATOR_CPU(write_to_array, ops::WriteToArrayOp);
+#endif  // WRITE_TO_ARRAY_OP
+
+#ifdef READ_FROM_ARRAY_OP
+REGISTER_OPERATOR_CPU(read_from_array, ops::ReadFromArrayOp);
+#endif  // READ_FROM_ARRAY_OP
+#endif

src/operators/controlflow/tensor_array_read_write_op.h

+/* Copyright (c) 2018 PaddlePaddle Authors. 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. */
+
+#pragma once
+
+#include <string>
+#include "framework/operator.h"
+#include "operators/kernel/tensor_array_read_write_kernel.h"
+#include "operators/op_param.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+#ifdef WRITE_TO_ARRAY_OP
+DECLARE_OPERATOR(WriteToArray, WriteToArrayParam, WriteToArrayKernel);
+#endif  // WRITE_TO_ARRAY_OP
+
+#ifdef READ_FROM_ARRAY_OP
+DECLARE_OPERATOR(ReadFromArray, ReadFromArrayParam, ReadFromArrayKernel);
+#endif  // WRITE_TO_ARRAY_OP
+
+}  // namespace operators
+}  // namespace paddle_mobile

src/operators/controlflow/while_op.cpp

+/* Copyright (c) 2018 PaddlePaddle Authors. 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 "operators/controlflow/while_op.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+#ifdef WHILE_OP
+template <typename Dtype, typename T>
+void WhileOp<Dtype, T>::InferShape() const {
+  // TODO(hjchen2)
+}
+#endif  // WHILE_OP
+
+}  // namespace operators
+}  // namespace paddle_mobile
+
+namespace ops = paddle_mobile::operators;
+
+#ifdef PADDLE_MOBILE_CPU
+#ifdef WHILE_OP
+REGISTER_OPERATOR_CPU(while, ops::WhileOp);
+#endif  // WHILE_OP
+#endif

src/operators/controlflow/while_op.h

+/* Copyright (c) 2018 PaddlePaddle Authors. 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. */
+
+#pragma once
+
+#include <string>
+#include "framework/operator.h"
+#include "operators/kernel/while_kernel.h"
+#include "operators/op_param.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+#ifdef WHILE_OP
+DECLARE_OPERATOR(While, WhileParam, WhileKernel);
+#endif  // WHILE_OP
+
+}  // namespace operators
+}  // namespace paddle_mobile

src/operators/kernel/arm/tensor_array_read_write_kernel.cpp

+/* Copyright (c) 2018 PaddlePaddle Authors. 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 "operators/kernel/tensor_array_read_write_kernel.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+#ifdef WRITE_TO_ARRAY_OP
+template <>
+bool WriteToArrayKernel<CPU, float>::Init(WriteToArrayParam<CPU> *param) {
+  return true;
+}
+
+template <>
+void WriteToArrayKernel<CPU, float>::Compute(
+    const WriteToArrayParam<CPU> &param) {
+  int64_t offset = param.index_->data<int64_t>()[0];
+  if (offset >= param.output_->size()) {
+    param.output_->resize(offset);
+  }
+  framework::LoDTensor *out_tensor = &(param.output_->at(offset));
+  out_tensor->set_lod(param.input_->lod());
+  if (param.input_->memory_size() > 0) {
+    TensorCopy(*(param.input_), out_tensor);
+  }
+}
+#endif  // WRITE_TO_ARRAY_OP
+
+#ifdef READ_FROM_ARRAY_OP
+template <>
+bool ReadFromArrayKernel<CPU, float>::Init(ReadFromArrayParam<CPU> *param) {
+  return true;
+}
+
+template <>
+void ReadFromArrayKernel<CPU, float>::Compute(
+    const ReadFromArrayParam<CPU> &param) {
+  int64_t offset = param.index_->data<int64_t>()[0];
+  if (offset < param.input_->size()) {
+    TensorCopy(param.input_->at(offset), param.output_);
+  }
+}
+#endif  // READ_FROM_ARRAY_OP
+
+}  // namespace operators
+}  // namespace paddle_mobile

src/operators/kernel/arm/while_kernel.cpp

+/* Copyright (c) 2018 PaddlePaddle Authors. 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 "operators/kernel/while_kernel.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+#ifdef WHILE_OP
+template <>
+bool WhileKernel<CPU, float>::Init(WhileParam<CPU> *param) {
+  return true;
+}
+
+template <>
+void WhileKernel<CPU, float>::Compute(const WhileParam<CPU> &param) {
+  // TODO(hjchen2)
+}
+#endif  // WHILE_OP
+
+}  // namespace operators
+}  // namespace paddle_mobile

src/operators/kernel/tensor_array_read_write_kernel.h

+/* Copyright (c) 2018 PaddlePaddle Authors. 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. */
+
+#pragma once
+
+#include "framework/operator.h"
+#include "operators/op_param.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+#ifdef WRITE_TO_ARRAY_OP
+DECLARE_KERNEL(WriteToArray, WriteToArrayParam);
+#endif  // WRITE_TO_ARRAY_OP
+
+#ifdef READ_FROM_ARRAY_OP
+DECLARE_KERNEL(ReadFromArray, ReadFromArrayParam);
+#endif  // READ_FROM_ARRAY_OP
+
+}  // namespace operators
+}  // namespace paddle_mobile

src/operators/kernel/while_kernel.h

+/* Copyright (c) 2018 PaddlePaddle Authors. 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. */
+
+#pragma once
+
+#include "framework/operator.h"
+#include "operators/op_param.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+#ifdef WHILE_OP
+template <typename Dtype>
+class WhileParam : public OpParam {
+ public:
+  WhileParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
+             const AttributeMap &attrs, const Scope &scope)
+      : inputs_(inputs), outputs_(outputs), scope_(scope) {
+    cond_ =
+        OpParam::GetVarValue<framework::LoDTensor>("Condition", inputs, scope);
+    sub_block_ = OpParam::GetAttr<int>("sub_block", attrs);
+  }
+
+ public:
+  framework::LoDTensor *cond_;
+  int sub_block_;
+  const VariableNameMap inputs_;
+  const VariableNameMap outputs_;
+  const Scope scope_;
+};
+
+DECLARE_KERNEL(While, WhileParam);
+#endif  // WHILE_OP
+
+}  // namespace operators
+}  // namespace paddle_mobile

src/operators/math/gemm.h

@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #pragma once
+#include <cstring>
 #include <string>
 #include "common/log.h"
 #include "memory/t_malloc.h"

src/operators/op_param.h

@@ -2991,5 +2991,63 @@ class LogicalUnaryParam : public OpParam {
 };
 #endif  // LOGICAL_NOT_OP
 
+// #ifdef WHILE_OP
+// template <typename Dtype>
+// class WhileParam : public OpParam {
+//  public:
+//   WhileParam(const VariableNameMap &inputs,
+//              const VariableNameMap &outputs, const AttributeMap &attrs,
+//              const Scope &scope) {
+//     cond_ = OpParam::GetVarValue<framework::LoDTensor>("Condition", inputs,
+//     scope); block_desc_ = OpParam::GetAttr<framework::BlockDesc
+//     *>("sub_block", attrs);
+//   }
+//
+//  public:
+//   framework::LoDTensor *cond_;
+//   const framework::BlockDesc *block_desc_;
+// };
+// #endif  // WHILE_OP
+
+#ifdef WRITE_TO_ARRAY_OP
+template <typename Dtype>
+class WriteToArrayParam : public OpParam {
+ public:
+  WriteToArrayParam(const VariableNameMap &inputs,
+                    const VariableNameMap &outputs, const AttributeMap &attrs,
+                    const Scope &scope) {
+    input_ = OpParam::GetVarValue<framework::LoDTensor>("X", inputs, scope);
+    index_ = OpParam::GetVarValue<framework::LoDTensor>("I", inputs, scope);
+    output_ =
+        OpParam::GetVarValue<framework::LoDTensorArray>("Out", outputs, scope);
+  }
+
+ public:
+  framework::LoDTensor *input_;
+  framework::LoDTensor *index_;
+  framework::LoDTensorArray *output_;
+};
+#endif
+
+#ifdef READ_FROM_ARRAY_OP
+template <typename Dtype>
+class ReadFromArrayParam : public OpParam {
+ public:
+  ReadFromArrayParam(const VariableNameMap &inputs,
+                     const VariableNameMap &outputs, const AttributeMap &attrs,
+                     const Scope &scope) {
+    input_ =
+        OpParam::GetVarValue<framework::LoDTensorArray>("X", inputs, scope);
+    index_ = OpParam::GetVarValue<framework::LoDTensor>("I", inputs, scope);
+    output_ = OpParam::GetVarValue<framework::LoDTensor>("Out", outputs, scope);
+  }
+
+ public:
+  framework::LoDTensorArray *input_;
+  framework::LoDTensor *index_;
+  framework::LoDTensor *output_;
+};
+#endif
+
 }  // namespace operators
 }  // namespace paddle_mobile

tools/op.cmake

@@ -285,6 +285,9 @@ if(NOT FOUND_MATCH)
   set(LOGICAL_OR_OP ON)
   set(LOGICAL_NOT_OP ON)
   set(LOGICAL_XOR_OP ON)
+  set(WHILE_OP ON)
+  set(WRITE_TO_ARRAY_OP ON)
+  set(READ_FROM_ARRAY_OP ON)
 endif()
 
   # option(BATCHNORM_OP "" ON)
@@ -559,3 +562,13 @@ endif()
 if (FUSION_DECONVADDRELU_OP)
   add_definitions(-DFUSION_DECONVADDRELU_OP)
 endif()
+
+if (WHILE_OP)
+  add_definitions(-DWHILE_OP)
+endif()
+if (WRITE_TO_ARRAY_OP)
+  add_definitions(-DWRITE_TO_ARRAY_OP)
+endif()
+if (READ_FROM_ARRAY_OP)
+  add_definitions(-DREAD_FROM_ARRAY_OP)
+endif()