Merge branch 'develop' into feature/op_creation_methods

Dockerfile.android

@@ -14,6 +14,17 @@ RUN apt-get update && \
     wget curl tar unzip gcc g++ locales clang-format-3.8 swig cmake && \
     apt-get clean -y
 
+# Install Go and glide
+RUN wget -O go.tgz https://storage.googleapis.com/golang/go1.8.1.linux-amd64.tar.gz && \
+    tar -C /usr/local -xzf go.tgz && \
+    mkdir /root/gopath && \
+    mkdir /root/gopath/bin && \
+    mkdir /root/gopath/src && \
+    rm go.tgz
+ENV GOROOT=/usr/local/go GOPATH=/root/gopath
+# should not be in the same line with GOROOT definition, otherwise docker build could not find GOROOT.
+ENV PATH=${PATH}:${GOROOT}/bin:${GOPATH}/bin
+
 # git credential to skip password typing
 RUN git config --global credential.helper store
 

cmake/cross_compiling/android.cmake

@@ -108,6 +108,7 @@ IF("${CMAKE_VERSION}" VERSION_LESS "3.7.0")
         ENDIF()
         IF(ANDROID_ABI STREQUAL "arm64-v8a")
             SET(ANDROID_TOOLCHAIN_NAME aarch64-linux-android)
+            SET(CMAKE_SYSTEM_PROCESSOR aarch64)
         ENDIF()
         SET(ANDROID_TOOLCHAIN_PREFIX "${ANDROID_TOOLCHAIN_ROOT}/bin/${ANDROID_TOOLCHAIN_NAME}-")
     ENDIF()
@@ -193,6 +194,10 @@ ELSE()
         SET(CMAKE_ANDROID_STANDALONE_TOOLCHAIN ${ANDROID_STANDALONE_TOOLCHAIN})
     ENDIF()
     SET(CMAKE_ANDROID_ARCH_ABI ${ANDROID_ABI})
+    IF(ANDROID_ABI MATCHES "^armeabi(-v7a)?$")
         SET(CMAKE_ANDROID_ARM_MODE ${ANDROID_ARM_MODE})
+        IF(ANDROID_ABI STREQUAL "armeabi-v7a")
             SET(CMAKE_ANDROID_ARM_NEON ${ANDROID_ARM_NEON})
+        ENDIF()
+    ENDIF()
 ENDIF()

paddle/framework/CMakeLists.txt

-# ddim lib
+cc_library(enforce SRCS enforce.cc DEPS glog)
+cc_test(enforce_test SRCS enforce_test.cc DEPS enforce)
 cc_library(ddim SRCS ddim.cc)
 cc_test(ddim_test SRCS ddim_test.cc DEPS ddim)
 nv_test(dim_test SRCS dim_test.cu DEPS ddim)
-cc_test(tensor_test SRCS tensor_test.cc DEPS ddim)
+cc_library(tensor SRCS tensor.cc DEPS ddim place enforce paddle_memory)
+cc_test(tensor_test SRCS tensor_test.cc DEPS tensor)
 cc_test(variable_test SRCS variable_test.cc)
 cc_test(scope_test SRCS scope_test.cc)
-cc_test(enforce_test SRCS enforce_test.cc)
 proto_library(attr_type SRCS attr_type.proto)
 proto_library(op_proto SRCS op_proto.proto DEPS attr_type)
 cc_test(op_proto_test SRCS op_proto_test.cc DEPS op_proto protobuf)
 proto_library(op_desc SRCS op_desc.proto DEPS attr_type)
 cc_test(op_desc_test SRCS op_desc_test.cc DEPS op_desc protobuf)
 
-cc_library(operator SRCS operator.cc DEPS op_desc device_context)
+cc_library(operator SRCS operator.cc DEPS op_desc device_context tensor)
 cc_test(operator_test SRCS operator_test.cc DEPS operator op_registry)
 
-cc_library(op_registry SRCS op_registry.cc DEPS op_proto op_desc)
+cc_library(op_registry SRCS op_registry.cc DEPS op_proto op_desc enforce)
 cc_test(op_registry_test SRCS op_registry_test.cc DEPS op_registry operator)
+
 py_proto_compile(framework_py_proto SRCS attr_type.proto op_proto.proto op_desc.proto)
 # Generate an empty __init__.py to make framework_py_proto as a valid python module.
 add_custom_target(framework_py_proto_init ALL COMMAND ${CMAKE_COMMAND} -E touch __init__.py)

paddle/framework/ddim.cc

@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/framework/ddim.h"
+#include "paddle/framework/enforce.h"
 
 namespace paddle {
 namespace framework {
@@ -192,13 +193,56 @@ std::vector<int> vectorize(const DDim& ddim) {
   return result;
 }
 
+struct ProductVisitor : public boost::static_visitor<ssize_t> {
+  template <int D>
+  ssize_t operator()(const Dim<D>& dim) {
+    return product(dim);
+  }
+};
+
 ssize_t product(const DDim& ddim) {
-  ssize_t result = 1;
-  std::vector<int> v = vectorize(ddim);
-  for (auto i : v) {
-    result *= i;
+  ProductVisitor visitor;
+  return boost::apply_visitor(visitor, ddim);
+}
+
+struct SliceVectorizeVisitor : public boost::static_visitor<> {
+  std::vector<int>& vector;
+  int begin;
+  int end;
+
+  SliceVectorizeVisitor(std::vector<int>& v, int b, int e)
+      : vector(v), begin(b), end(e) {
+    PADDLE_ENFORCE(begin < end,
+                   "Begin index must be less than end index in ddim slice.");
+    PADDLE_ENFORCE(begin >= 0,
+                   "Begin index can't be less than zero in ddim slice.");
   }
-  return result;
+
+  template <int S>
+  void operator()(const Dim<S>& dim) {
+    if (begin == 0) {
+      vector.push_back(dim.head);
+    } else {
+      --begin;
+    }
+    --end;
+    if (end > 0) {
+      this->operator()(dim.tail);
+    }
+  }
+
+  void operator()(const Dim<1>& dim) {
+    PADDLE_ENFORCE(end == 1, "End index in ddim slice is out of bound.");
+    vector.push_back(dim.head);
+  }
+};
+
+DDim slice_ddim(const DDim& dim, int begin, int end) {
+  std::vector<int> vec;
+  vec.reserve(end - begin);
+  SliceVectorizeVisitor visitor(vec, begin, end);
+  boost::apply_visitor(visitor, dim);
+  return make_ddim(vec);
 }
 
 /// \cond HIDDEN

paddle/framework/ddim.h

@@ -81,6 +81,15 @@ std::vector<int> vectorize(const DDim& ddim);
 
 ssize_t product(const DDim& ddim);
 
+/**
+ * \brief Slice a ddim
+ *
+ * Slice dim with [begin, end).
+ * e.g.  DDim d = make_ddim({1,2,3,4,5});
+ *       slice_ddim(d, 1, 3); ====> {2,3}
+ */
+DDim slice_ddim(const DDim& dim, int begin, int end);
+
 /**
  * \brief What is the length of this dimension?
  *

paddle/framework/ddim_test.cc

@@ -52,6 +52,26 @@ TEST(DDim, Equality) {
 
   // product of a DDim
   EXPECT_EQ(paddle::framework::product(vddim), 45);
+  EXPECT_EQ(
+      paddle::framework::product(paddle::framework::make_ddim({3, 2, 5, 3})),
+      90);
+
+  // slice a DDim
+  paddle::framework::DDim ddim2 =
+      paddle::framework::make_ddim({1, 2, 3, 4, 5, 6});
+  paddle::framework::DDim ss = paddle::framework::slice_ddim(ddim2, 2, 5);
+  EXPECT_EQ(arity(ss), 3);
+  EXPECT_EQ(ss[0], 3);
+  EXPECT_EQ(ss[1], 4);
+  EXPECT_EQ(ss[2], 5);
+  paddle::framework::DDim ss2 = paddle::framework::slice_ddim(ddim2, 0, 6);
+  EXPECT_EQ(arity(ss2), 6);
+  EXPECT_EQ(ss2[0], 1);
+  EXPECT_EQ(ss2[1], 2);
+  EXPECT_EQ(ss2[2], 3);
+  EXPECT_EQ(ss2[3], 4);
+  EXPECT_EQ(ss2[4], 5);
+  EXPECT_EQ(ss2[5], 6);
 }
 
 TEST(DDim, Print) {

paddle/framework/dim_test.cu

 #include <thrust/device_vector.h>
 #include <sstream>
 
-#include "paddle/framework/dim.h"
 #include "gtest/gtest.h"
+#include "paddle/framework/dim.h"
 
 __global__ void test(paddle::framework::Dim<2>* o) {
   o[0] = paddle::framework::make_dim(5, 6);
@@ -21,7 +21,7 @@ TEST(Dim, Equality) {
 
   // construct a Dim on the GPU
   thrust::device_vector<paddle::framework::Dim<2>> t(2);
-    test<<<1,1>>>(thrust::raw_pointer_cast(t.data()));
+  test<<<1, 1>>>(thrust::raw_pointer_cast(t.data()));
   a = t[0];
   EXPECT_EQ(paddle::framework::get<0>(a), 5);
   EXPECT_EQ(paddle::framework::get<1>(a), 6);
@@ -48,12 +48,13 @@ TEST(Dim, Equality) {
 
   // dynamic access on GPU
   thrust::device_vector<int> r(1);
-    dyn_idx_gpu<<<1,1>>>(thrust::raw_pointer_cast(r.data()));
+  dyn_idx_gpu<<<1, 1>>>(thrust::raw_pointer_cast(r.data()));
   int res = r[0];
   EXPECT_EQ(res, 6);
 
   // ex_prefix_mul
-    paddle::framework::Dim<3> c = paddle::framework::ex_prefix_mul(paddle::framework::Dim<3>(3, 4, 5));
+  paddle::framework::Dim<3> c =
+      paddle::framework::ex_prefix_mul(paddle::framework::Dim<3>(3, 4, 5));
   EXPECT_EQ(paddle::framework::get<0>(c), 1);
   EXPECT_EQ(paddle::framework::get<1>(c), 3);
   EXPECT_EQ(paddle::framework::get<2>(c), 12);

paddle/framework/enforce.cc

+/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+   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 "paddle/framework/enforce.h"

paddle/framework/enforce.h

@@ -10,6 +10,7 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #pragma once
+#include <glog/logging.h>
 #include <paddle/string/printf.h>
 #include <exception>
 #include <sstream>
@@ -58,12 +59,17 @@ class EnforceNotMet : public std::exception {
 /**
  * @brief Enforce a condition, otherwise throw an EnforceNotMet
  */
+#ifdef NDEBUG
 #define PADDLE_ENFORCE(condition, ...) \
   do {                                 \
     if (UNLIKELY(!(condition))) {      \
       PADDLE_THROW(__VA_ARGS__);       \
     }                                  \
   } while (0)
+#else
+#define PADDLE_ENFORCE(condition, ...) \
+  CHECK(condition) << ::paddle::string::Sprintf(__VA_ARGS__);
+#endif
 
 }  // namespace framework
 }  // namespace paddle

paddle/framework/op_registry.h

@@ -62,7 +62,14 @@ class OpProtoAndCheckerMaker {
   OpProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
       : proto_(proto), op_checker_(op_checker) {}
 
-  ~OpProtoAndCheckerMaker() { CheckNoDuplicatedAttrs(); }
+  ~OpProtoAndCheckerMaker() {
+    PADDLE_ENFORCE(validated_, "should call Validate after build");
+  }
+
+  void Validate() {
+    validated_ = true;
+    CheckNoDuplicatedInOutAttrs();
+  }
 
  protected:
   void AddInput(const std::string& name, const std::string& comment,
@@ -164,19 +171,26 @@ Add a mark to which output is temporary is helpful for future optimization.
     }
   }
 
-  void CheckNoDuplicatedAttrs() {
+  void CheckNoDuplicatedInOutAttrs() {
     std::unordered_set<std::string> names;
-    size_t cnt = 0;
+    auto checker = [&](const std::string& name) {
+      PADDLE_ENFORCE(!names.count(name), "[%s] is duplicated", name);
+      names.insert(name);
+    };
     for (auto& attr : proto_->attrs()) {
-      names.insert(attr.name());
-      ++cnt;
+      checker(attr.name());
+    }
+    for (auto& input : proto_->inputs()) {
+      checker(input.name());
+    }
+    for (auto& output : proto_->outputs()) {
+      checker(output.name());
     }
-    PADDLE_ENFORCE(names.size() == cnt,
-                   "Cannot register two attribute in same name!");
   }
 
   OpProto* proto_;
   OpAttrChecker* op_checker_;
+  bool validated_{false};
   bool has_multiple_input_{false};
   bool has_multiple_output_{false};
   bool has_temporary_output_{false};
@@ -191,7 +205,8 @@ class OpRegistry {
     creators()[op_type] = [] { return new OpType; };
     OpProto& op_proto = protos()[op_type];
     OpAttrChecker& op_checker = op_checkers()[op_type];
-    ProtoMakerType(&op_proto, &op_checker);
+    auto maker = ProtoMakerType(&op_proto, &op_checker);
+    maker.Validate();
     *op_proto.mutable_type() = op_type;
     PADDLE_ENFORCE(
         op_proto.IsInitialized(),
@@ -205,10 +220,13 @@ class OpRegistry {
     OperatorPtr op(creators().at(op_type)());
     //! Fill op's data member. Not use constructor because it will be noising
     //! for Op developer.
+    const OpProto& op_proto = protos().at(op_type);
     op->type_ = op_desc.type();
+    // set op's inputs_ from desc.
     op->inputs_.reserve((size_t)op_desc.inputs_size());
     std::copy(op_desc.inputs().begin(), op_desc.inputs().end(),
               std::back_inserter(op->inputs_));
+    // set op's outputs_ from desc.
     op->outputs_.reserve((size_t)op_desc.outputs_size());
     std::copy(op_desc.outputs().begin(), op_desc.outputs().end(),
               std::back_inserter(op->outputs_));
@@ -222,12 +240,19 @@ class OpRegistry {
     //! Convert Temporary variable name to an unique variable name.
     GenerateTempVariableName(op.get());
 
+    // set argument offsets stored in op.
+    CreateInOutOffsetMap(op, op_proto);
     //! Other op's custom Init for a complex Op. For simple Op, the Init
     //! method do nothing.
     op->Init();
     return op;
   }
 
+  // init op.in_out_idxs_ to accelerate argument's offset lookup.
+  static void CreateInOutOffsetMap(OperatorPtr op, const OpProto& proto) {
+    op->CreateInOutOffsetMap(proto);
+  }
+
   static std::unordered_map<std::string, OpProto>& protos() {
     static std::unordered_map<std::string, OpProto> protos_;
     return protos_;

paddle/framework/op_registry_test.cc

 #include "paddle/framework/op_registry.h"
 #include <gtest/gtest.h>
 
+namespace pd = paddle::framework;
+
 namespace paddle {
 namespace framework {
 class CosineOp : public OperatorBase {
@@ -28,8 +30,6 @@ class MyTestOp : public OperatorBase {
   void InferShape(const ScopePtr& scope) const override {}
   void Run(const ScopePtr& scope,
            const platform::DeviceContext& dev_ctx) const override {}
-
- public:
 };
 
 class MyTestOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
@@ -182,3 +182,35 @@ TEST(OpRegistry, CustomChecker) {
   int test_attr = op->GetAttr<int>("test_attr");
   ASSERT_EQ(test_attr, 4);
 }
+
+class TestAttrProtoMaker : public pd::OpProtoAndCheckerMaker {
+ public:
+  TestAttrProtoMaker(pd::OpProto* proto, pd::OpAttrChecker* op_checker)
+      : OpProtoAndCheckerMaker(proto, op_checker) {
+    AddAttr<float>("scale", "scale of test op");
+    AddAttr<float>("scale", "scale of test op");
+  }
+};
+
+TEST(ProtoMaker, DuplicatedAttr) {
+  pd::OpProto op_proto;
+  pd::OpAttrChecker op_checker;
+  auto proto_maker = TestAttrProtoMaker(&op_proto, &op_checker);
+  ASSERT_THROW(proto_maker.Validate(), paddle::framework::EnforceNotMet);
+}
+
+class TestInOutProtoMaker : public pd::OpProtoAndCheckerMaker {
+ public:
+  TestInOutProtoMaker(pd::OpProto* proto, pd::OpAttrChecker* op_checker)
+      : OpProtoAndCheckerMaker(proto, op_checker) {
+    AddInput("input", "input of test op");
+    AddInput("input", "input of test op");
+  }
+};
+
+TEST(ProtoMaker, DuplicatedInOut) {
+  pd::OpProto op_proto;
+  pd::OpAttrChecker op_checker;
+  auto proto_maker = TestInOutProtoMaker(&op_proto, &op_checker);
+  ASSERT_THROW(proto_maker.Validate(), paddle::framework::EnforceNotMet);
+}

paddle/framework/operator.cc

@@ -12,11 +12,69 @@ 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 <algorithm>
+
 #include "paddle/framework/operator.h"
 
 namespace paddle {
 namespace framework {
 
+void OperatorBase::CreateInOutOffsetMap(const OpProto& proto) {
+  PADDLE_ENFORCE(in_out_idxs_.empty(), "duplicate call CreateInOutOffsetMap");
+  for (int i = 0; i < proto.inputs_size(); i++) {
+    const auto& name = proto.inputs()[i].name();
+    in_out_idxs_[name] = i;
+  }
+  for (int i = 0; i < proto.outputs_size(); i++) {
+    const auto& name = proto.outputs()[i].name();
+    in_out_idxs_[name] = i;
+  }
+}
+
+const std::string& OperatorBase::Input(const std::string& name) const {
+  auto it = in_out_idxs_.find(name);
+  PADDLE_ENFORCE(it != in_out_idxs_.end(), "no key [%s] in in_out_idxs_", name);
+
+  if (attrs_.count("input_format") == 0) {
+    return inputs_[it->second];
+  } else {
+    const auto& input_format = GetAttr<std::vector<int>>("input_format");
+    int idx = input_format[it->second];
+    return inputs_.at(idx);
+  }
+}
+
+std::vector<std::string> OperatorBase::Inputs(const std::string& name) const {
+  auto input_format = GetAttr<std::vector<int>>("input_format");
+  auto offset = in_out_idxs_.at(name);
+
+  return std::vector<std::string>{
+      inputs_.begin() + input_format.at(offset),
+      inputs_.begin() + input_format.at(offset + 1)};
+}
+
+const std::string& OperatorBase::Output(const std::string& name) const {
+  auto it = in_out_idxs_.find(name);
+  PADDLE_ENFORCE(it != in_out_idxs_.end(), "no key [%s] in in_out_idxs_", name);
+
+  if (attrs_.count("output_format") == 0) {
+    return outputs_[it->second];
+  } else {
+    const auto& output_format = GetAttr<std::vector<int>>("output_format");
+    int idx = output_format[it->second];
+    return outputs_.at(idx);
+  }
+}
+
+std::vector<std::string> OperatorBase::Outputs(const std::string& name) const {
+  auto output_format = GetAttr<std::vector<int>>("output_format");
+  auto offset = in_out_idxs_.at(name);
+
+  return std::vector<std::string>{
+      outputs_.begin() + output_format.at(offset),
+      outputs_.begin() + output_format.at(offset + 1)};
+}
+
 std::string OperatorBase::DebugString() const {
   std::stringstream ss;
   ss << "Op(" << type_ << "), inputs:(";

paddle/framework/operator.h

@@ -14,18 +14,20 @@ limitations under the License. */
 
 #pragma once
 
-#include <paddle/framework/attr_checker.h>
-#include <paddle/framework/op_desc.pb.h>
-#include <paddle/framework/scope.h>
-#include <paddle/framework/tensor.h>
-#include <paddle/platform/device_context.h>
-#include <paddle/platform/place.h>
-#include <paddle/utils/Error.h>
 #include <boost/variant.hpp>
 #include <string>
 #include <unordered_map>
 #include <vector>
 
+#include "paddle/framework/attr_checker.h"
+#include "paddle/framework/op_desc.pb.h"
+#include "paddle/framework/op_proto.pb.h"
+#include "paddle/framework/scope.h"
+#include "paddle/framework/tensor.h"
+#include "paddle/platform/device_context.h"
+#include "paddle/platform/place.h"
+#include "paddle/utils/Error.h"
+
 namespace paddle {
 namespace framework {
 
@@ -69,24 +71,32 @@ class OperatorBase {
   virtual void Run(const ScopePtr& scope,
                    const platform::DeviceContext& dev_ctx) const = 0;
 
+  // Get a input with argument's name described in `op_proto`
+  const std::string& Input(const std::string& name) const;
+  // Get a input which has multiple variables.
+  // TODO add a vector_view to prevent memory copy.
+  std::vector<std::string> Inputs(const std::string& name) const;
+  // Get a output with argument's name described in `op_proto`
+  const std::string& Output(const std::string& name) const;
+  // Get an output which has multiple variables.
+  // TODO add a vector_view to prevent memory copy.
+  std::vector<std::string> Outputs(const std::string& name) const;
+
+  // init in_out_idxs_ to accelerate argument's offset lookup.
+  void CreateInOutOffsetMap(const OpProto& proto);
+
  public:
   std::string type_;
   std::vector<std::string> inputs_;
   std::vector<std::string> outputs_;
   AttributeMap attrs_;
+  // store the arguments' offset described in op_desc.
+  std::unordered_map<std::string, int> in_out_idxs_;
 };
 
-class OpKernel {
+class KernelContext {
  public:
-  /**
-   * KernelContext is the only parameter of Kernel Run function.
-   * Run will get input/output variables, state such as momentum and
-   * device resource such as CUDA stream, cublas handle, etc. from
-   * KernelContext. User should construct it before run the Operator.
-   */
-  class KernelContext {
-   public:
-    KernelContext(const OperatorBase* op, const ScopePtr& scope,
+  KernelContext(const OperatorBase* op, const std::shared_ptr<Scope>& scope,
                 const platform::DeviceContext& device_context)
       : op_(*op), scope_(scope), device_context_(device_context) {}
 
@@ -98,11 +108,45 @@ class OpKernel {
     return scope_->GetVariable(op_.outputs_[index]);
   }
 
+  const Variable* Input(const std::string& name) const {
+    return scope_->GetVariable(op_.Input(name));
+  }
+
+  const Variable* Output(const std::string& name) const {
+    return scope_->GetVariable(op_.Output(name));
+  }
+
+  const std::vector<const Variable*> Inputs(const std::string& name) const {
+    auto names = op_.Inputs(name);
+    std::vector<const Variable*> res;
+    std::transform(
+        names.begin(), names.end(), res.begin(),
+        [this](const std::string& name) { return scope_->GetVariable(name); });
+    return res;
+  }
+
+  const std::vector<const Variable*> Outputs(const std::string& name) const {
+    auto names = op_.Outputs(name);
+    std::vector<const Variable*> res;
+    std::transform(
+        names.begin(), names.end(), res.begin(),
+        [this](const std::string& name) { return scope_->GetVariable(name); });
+    return res;
+  }
+
   const OperatorBase& op_;
-    const ScopePtr& scope_;
+  const std::shared_ptr<Scope>& scope_;
   const platform::DeviceContext& device_context_;
-  };
+};
 
+class OpKernel {
+ public:
+  /**
+   * KernelContext is the only parameter of Kernel Run function.
+   * Run will get input/output variables, state such as momentum and
+   * device resource such as CUDA stream, cublas handle, etc. from
+   * KernelContext. User should construct it before run the Operator.
+   */
   virtual void Compute(const KernelContext& context) const = 0;
 
   virtual ~OpKernel() {}
@@ -147,7 +191,7 @@ class OperatorWithKernel : public OperatorBase {
   void Run(const ScopePtr& scope,
            const platform::DeviceContext& dev_ctx) const final {
     auto& opKernel = AllOpKernels().at(type_).at(OpKernelKey(dev_ctx));
-    opKernel->Compute(OpKernel::KernelContext(this, scope, dev_ctx));
+    opKernel->Compute(KernelContext(this, scope, dev_ctx));
   }
 
   static std::unordered_map<std::string /* op_type */, OpKernelMap>&
@@ -155,6 +199,7 @@ class OperatorWithKernel : public OperatorBase {
     static std::unordered_map<std::string, OpKernelMap> g_all_op_kernels;
     return g_all_op_kernels;
   }
+
   void InferShape(const std::shared_ptr<Scope>& scope) const final {
     std::vector<const Tensor*> ins;
     VarNamesToTensors(scope, inputs_, &ins);

paddle/framework/operator_test.cc

@@ -30,7 +30,6 @@ class OpWithoutKernelTest : public OperatorBase {
     op_run_num++;
     ASSERT_EQ((int)inputs_.size(), 1);
     ASSERT_EQ((int)outputs_.size(), 1);
-    ASSERT_NEAR(GetAttr<float>("scale"), 3.14, 1e-5);
     ASSERT_EQ(scope->GetVariable(inputs_[0]), nullptr);
     ASSERT_EQ(x, 1);
     ASSERT_NE(scope->GetVariable(outputs_[0]), nullptr);
@@ -86,9 +85,11 @@ class OpKernelTestProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
  public:
   OpKernelTestProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
       : OpProtoAndCheckerMaker(proto, op_checker) {
-    AddInput("input", "input of test op");
-    AddOutput("output", "output of test op");
-    AddAttr<float>("scale", "scale of cosine op");
+    AddInput("x", "input of test op");
+    AddOutput("y", "output of test op");
+    AddAttr<float>("scale", "scale of cosine op")
+        .SetDefault(1.0)
+        .LargerThan(0.0);
     AddComment("This is test op");
   }
 };
@@ -103,11 +104,65 @@ class OpWithKernelTest : public OperatorWithKernel {
 
 class CPUKernelTest : public OpKernel {
  public:
-  void Compute(const KernelContext& context) const {
+  void Compute(const KernelContext& ctx) const {
+    std::cout << "this is cpu kernel" << std::endl;
+    std::cout << ctx.op_.DebugString() << std::endl;
     cpu_kernel_run_num++;
-    ASSERT_EQ((int)context.op_.inputs_.size(), 1);
-    ASSERT_EQ((int)context.op_.outputs_.size(), 1);
-    ASSERT_NEAR(context.op_.GetAttr<float>("scale"), 3.14, 1e-5);
+    ASSERT_EQ(ctx.op_.Input("x"), "IN1");
+    ASSERT_EQ(ctx.op_.Output("y"), "OUT1");
+  }
+};
+
+// multiple inputs test
+class OperatorMultiInputsTest : public OperatorBase {
+ public:
+  void Init() override { x = 1; }
+  void InferShape(const std::shared_ptr<Scope>& scope) const override {}
+  void Run(const std::shared_ptr<Scope>& scope,
+           const platform::DeviceContext& dev_ctx) const override {
+    ASSERT_EQ(scope->GetVariable(inputs_[0]), nullptr);
+    ASSERT_EQ(x, 1);
+    ASSERT_NE(scope->GetVariable(outputs_[0]), nullptr);
+    ASSERT_EQ(Input("x"), "IN1");
+    ASSERT_EQ(Input("y"), "OUT1");
+  }
+
+ public:
+  float x = 0;
+};
+
+class OpKernelTestMultiInputsProtoAndCheckerMaker
+    : public OpProtoAndCheckerMaker {
+ public:
+  OpKernelTestMultiInputsProtoAndCheckerMaker(OpProto* proto,
+                                              OpAttrChecker* op_checker)
+      : OpProtoAndCheckerMaker(proto, op_checker) {
+    AddInputs("xs", "inputs of test op");
+    AddInput("k", "input of test op");
+    AddOutputs("ys", "outputs of test op");
+    AddAttr<float>("scale", "scale of cosine op")
+        .SetDefault(1.0)
+        .LargerThan(0.0);
+    AddComment("This is test op");
+  }
+};
+
+class CPUKernalMultiInputsTest : public OpKernel {
+ public:
+  void Compute(const KernelContext& ctx) const {
+    auto xs = ctx.op_.Inputs("xs");
+    ASSERT_EQ(xs.size(), 3UL);
+    ASSERT_EQ(xs[0], "x0");
+    ASSERT_EQ(xs[1], "x1");
+    ASSERT_EQ(xs[2], "x2");
+
+    auto k = ctx.op_.Input("k");
+    ASSERT_EQ(k, "k0");
+
+    auto ys = ctx.op_.Outputs("ys");
+    ASSERT_EQ(ys.size(), 2UL);
+    ASSERT_EQ(ys[0], "y0");
+    ASSERT_EQ(ys[1], "y1");
   }
 };
 
@@ -118,6 +173,7 @@ REGISTER_OP(op_with_kernel, paddle::framework::OpWithKernelTest,
             paddle::framework::OpKernelTestProtoAndCheckerMaker);
 REGISTER_OP_CPU_KERNEL(op_with_kernel, paddle::framework::CPUKernelTest);
 
+// test with single input
 TEST(OpKernel, all) {
   paddle::framework::OpDesc op_desc;
   op_desc.set_type("op_with_kernel");
@@ -137,3 +193,47 @@ TEST(OpKernel, all) {
   op->Run(scope, cpu_device_context);
   ASSERT_EQ(paddle::framework::cpu_kernel_run_num, 1);
 }
+
+REGISTER_OP(op_multi_inputs_with_kernel, paddle::framework::OpWithKernelTest,
+            paddle::framework::OpKernelTestMultiInputsProtoAndCheckerMaker);
+REGISTER_OP_CPU_KERNEL(op_multi_inputs_with_kernel,
+                       paddle::framework::CPUKernalMultiInputsTest);
+
+// test with multi inputs
+TEST(OpKernel, multi_inputs) {
+  using namespace paddle::framework;
+
+  OpDesc op_desc;
+  op_desc.set_type("op_multi_inputs_with_kernel");
+  *op_desc.mutable_inputs()->Add() = "x0";
+  *op_desc.mutable_inputs()->Add() = "x1";
+  *op_desc.mutable_inputs()->Add() = "x2";
+  *op_desc.mutable_inputs()->Add() = "k0";
+  *op_desc.mutable_outputs()->Add() = "y0";
+  *op_desc.mutable_outputs()->Add() = "y1";
+  auto attr = op_desc.mutable_attrs()->Add();
+  attr->set_name("scale");
+  attr->set_type(paddle::framework::AttrType::FLOAT);
+  attr->set_f(3.14);
+
+  auto attr0 = op_desc.mutable_attrs()->Add();
+  attr0->set_name("input_format");
+  attr0->set_type(paddle::framework::AttrType::INTS);
+  auto input_format = attr0->mutable_ints();
+  input_format->Add(0);  // x0
+  input_format->Add(3);  // k
+  input_format->Add(4);  // end
+
+  auto attr1 = op_desc.mutable_attrs()->Add();
+  attr1->set_name("output_format");
+  attr1->set_type(paddle::framework::AttrType::INTS);
+  auto output_format = attr1->mutable_ints();
+  output_format->Add(0);  // y0
+  output_format->Add(2);  // y1
+
+  paddle::platform::CPUDeviceContext cpu_device_context;
+  auto scope = std::make_shared<Scope>();
+
+  OperatorPtr op(paddle::framework::OpRegistry::CreateOp(op_desc));
+  op->Run(scope, cpu_device_context);
+}

paddle/framework/tensor.cc

+/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+   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 <paddle/framework/tensor.h>
+
+namespace paddle {
+namespace framework {}
+}  // namespace paddle

paddle/operators/CMakeLists.txt

-if(WITH_GPU)
-    nv_library(add_op SRCS add_op.cc add_op.cu DEPS operator op_registry glog ddim)
-else()
-    cc_library(add_op SRCS add_op.cc DEPS operator op_registry glog ddim)
-endif()
+function(op_library TARGET)
+    # op_library is a function to create op library. The interface is same as
+    # cc_library. But it handle split GPU/CPU code and link some common library
+    # for ops.
+    set(cc_srcs)
+    set(cu_srcs)
+    set(op_common_deps operator op_registry)
+    set(options "")
+    set(oneValueArgs "")
+    set(multiValueArgs SRCS DEPS)
+    cmake_parse_arguments(op_library "${options}" "${oneValueArgs}"
+            "${multiValueArgs}" ${ARGN})
+
+    foreach(src ${op_library_SRCS})
+        if (${src} MATCHES ".*\\.cu$")
+            list(APPEND cu_srcs ${src})
+        elseif(${src} MATCHES ".*\\.cc$")
+            list(APPEND cc_srcs ${src})
+        else()
+            message(FATAL_ERROR "${TARGET} Source file ${src} should only be .cc or .cu")
+        endif()
+    endforeach()
+
+    list(LENGTH cc_srcs cc_srcs_len)
+    if (${cc_srcs_len} EQUAL 0)
+        message(FATAL_ERROR "The op library ${TARGET} should contains at least one .cc file")
+    endif()
+
+    list(LENGTH cu_srcs cu_srcs_len)
+    if (${cu_srcs_len} EQUAL 0)
+        message(WARNING "The op library ${TARGET} not support GPU!")
+    endif()
+
+    if (WITH_GPU)
+        nv_library(${TARGET} SRCS ${cc_srcs} ${cu_srcs} DEPS ${op_library_DEPS}
+                ${op_common_deps})
+    else()
+        cc_library(${TARGET} SRCS ${cc_srcs} DEPS ${op_library_DEPS}
+                ${op_common_deps})
+    endif()
+endfunction()
+
+op_library(add_op SRCS add_op.cc add_op.cu)
 cc_test(add_op_test SRCS add_op_test.cc DEPS add_op)

paddle/operators/add_op.h

@@ -8,10 +8,10 @@ namespace operators {
 template <typename Place>
 class AddKernel : public framework::OpKernel {
 public:
-  void Compute(const KernelContext &context) const override {
+  void Compute(const framework::KernelContext &context) const override {
     LOG(INFO) << "Add kernel in " << typeid(Place).name();
   }
 };
 
-}  // namespace op
+}  // namespace operators
 }  // namespace paddle

paddle/scripts/docker/build_android.sh

@@ -2,9 +2,9 @@
 
 set -xe
 
-mkdir -p /paddle/build
-cd /paddle/build
-rm -f /paddle/install 2>/dev/null || true
+mkdir -p /paddle/build_android
+cd /paddle/build_android
+rm -rf /paddle/install 2>/dev/null || true
 cmake -DCMAKE_SYSTEM_NAME=Android \
       -DANDROID_STANDALONE_TOOLCHAIN=$ANDROID_STANDALONE_TOOLCHAIN \
       -DANDROID_ABI=armeabi-v7a \
@@ -21,6 +21,3 @@ cmake -DCMAKE_SYSTEM_NAME=Android \
       ..
 make -j `nproc`
 make install
-
-export PATH=/paddle/install/bin:/paddle/install/opt/paddle/bin:$PATH
-paddle version