Add collective ops (reduce) (#26340)

paddle/fluid/operators/collective/c_reduce_max_op.cc

+/* Copyright (c) 2019 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 "paddle/fluid/operators/collective/c_reduce_op.h"
+
+namespace paddle {
+namespace operators {
+
+class CReduceMaxOpMaker : public CReduceOpMaker {
+ protected:
+  std::string GetName() const override { return "Max"; }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_WITHOUT_GRADIENT(c_reduce_max, ops::CReduceOp,
+                             ops::CReduceMaxOpMaker);
+
+REGISTER_OP_CPU_KERNEL(c_reduce_max,
+                       ops::CReduceOpCPUKernel<ops::kRedMax, float>,
+                       ops::CReduceOpCPUKernel<ops::kRedMax, double>,
+                       ops::CReduceOpCPUKernel<ops::kRedMax, int>,
+                       ops::CReduceOpCPUKernel<ops::kRedMax, int64_t>,
+                       ops::CReduceOpCPUKernel<ops::kRedMax, plat::float16>);

paddle/fluid/operators/collective/c_reduce_max_op.cu.cc

+/* Copyright (c) 2019 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 "paddle/fluid/operators/collective/c_reduce_op.h"
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_CUDA_KERNEL(c_reduce_max,
+                        ops::CReduceOpCUDAKernel<ops::kRedMax, float>,
+                        ops::CReduceOpCUDAKernel<ops::kRedMax, double>,
+                        ops::CReduceOpCUDAKernel<ops::kRedMax, int>,
+                        ops::CReduceOpCUDAKernel<ops::kRedMax, int64_t>,
+                        ops::CReduceOpCUDAKernel<ops::kRedMax, plat::float16>)

paddle/fluid/operators/collective/c_reduce_min_op.cc

+/* Copyright (c) 2019 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 "paddle/fluid/operators/collective/c_reduce_op.h"
+
+namespace paddle {
+namespace operators {
+
+class CReduceMinOpMaker : public CReduceOpMaker {
+ protected:
+  std::string GetName() const override { return "Min"; }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_WITHOUT_GRADIENT(c_reduce_min, ops::CReduceOp,
+                             ops::CReduceMinOpMaker);
+
+REGISTER_OP_CPU_KERNEL(c_reduce_min,
+                       ops::CReduceOpCPUKernel<ops::kRedMin, float>,
+                       ops::CReduceOpCPUKernel<ops::kRedMin, double>,
+                       ops::CReduceOpCPUKernel<ops::kRedMin, int>,
+                       ops::CReduceOpCPUKernel<ops::kRedMin, int64_t>,
+                       ops::CReduceOpCPUKernel<ops::kRedMin, plat::float16>);

paddle/fluid/operators/collective/c_reduce_min_op.cu.cc

+/* Copyright (c) 2019 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 "paddle/fluid/operators/collective/c_reduce_op.h"
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_CUDA_KERNEL(c_reduce_min,
+                        ops::CReduceOpCUDAKernel<ops::kRedMin, float>,
+                        ops::CReduceOpCUDAKernel<ops::kRedMin, double>,
+                        ops::CReduceOpCUDAKernel<ops::kRedMin, int>,
+                        ops::CReduceOpCUDAKernel<ops::kRedMin, int64_t>,
+                        ops::CReduceOpCUDAKernel<ops::kRedMin, plat::float16>)

paddle/fluid/operators/collective/c_reduce_op.h

+/* Copyright (c) 2019 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 <algorithm>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "paddle/fluid/framework/data_type.h"
+#include "paddle/fluid/framework/ddim.h"
+#include "paddle/fluid/framework/lod_tensor.h"
+#include "paddle/fluid/framework/op_registry.h"
+
+#if defined(PADDLE_WITH_NCCL)
+#include "paddle/fluid/platform/collective_helper.h"
+#include "paddle/fluid/platform/nccl_helper.h"
+#endif
+
+namespace paddle {
+namespace operators {
+
+enum ReduceType { kRedSum, kRedMax, kRedMin, kRedProd };
+
+class CReduceOp : public framework::OperatorWithKernel {
+ public:
+  using framework::OperatorWithKernel::OperatorWithKernel;
+
+  void InferShape(framework::InferShapeContext* ctx) const override {
+    ctx->SetOutputDim("Out", ctx->GetInputDim("X"));
+  }
+
+ protected:
+  framework::OpKernelType GetExpectedKernelType(
+      const framework::ExecutionContext& ctx) const override {
+    return framework::OpKernelType(
+        OperatorWithKernel::IndicateVarDataType(ctx, "X"), ctx.GetPlace());
+  }
+};
+
+template <ReduceType red_type, typename T>
+class CReduceOpCPUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    PADDLE_ENFORCE_EQ(
+        true, false,
+        platform::errors::Unavailable("Unimplemented CReduceOpCPUKernel now."));
+  }
+};
+
+template <ReduceType red_type, typename T>
+class CReduceOpCUDAKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+#if defined(PADDLE_WITH_NCCL)
+    auto in = ctx.Input<framework::Tensor>("X");
+    auto out = ctx.Output<framework::Tensor>("Out");
+
+    auto place = ctx.GetPlace();
+    ncclDataType_t dtype = platform::ToNCCLDataType(in->type());
+    int64_t numel = in->numel();
+    const void* sendbuff = in->data<void>();
+    out->Resize(in->dims());
+    void* recvbuff = out->mutable_data<T>(place);
+
+    int rid = ctx.Attr<int>("ring_id");
+    int root = ctx.Attr<int>("root_id");
+    auto comm = platform::NCCLCommContext::Instance().Get(rid, place);
+
+    cudaStream_t stream = nullptr;
+    if (ctx.Attr<bool>("use_calc_stream")) {
+      auto dev_ctx = platform::DeviceContextPool::Instance().Get(place);
+      stream = static_cast<platform::CUDADeviceContext*>(dev_ctx)->stream();
+    } else {
+      stream = comm->stream();
+    }
+
+    ncclRedOp_t nccl_red_type = ncclSum;
+    switch (red_type) {
+      case kRedSum:
+        nccl_red_type = ncclSum;
+        break;
+
+      case kRedMax:
+        nccl_red_type = ncclMax;
+        break;
+
+      case kRedMin:
+        nccl_red_type = ncclMin;
+        break;
+
+      case kRedProd:
+        nccl_red_type = ncclProd;
+        break;
+
+      default:
+        PADDLE_ENFORCE_EQ(true, false, platform::errors::InvalidArgument(
+                                           "red_type must be one of kRedSum, "
+                                           "kRedMax, kRedMin, kRedProd."));
+    }
+
+    PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclReduce(
+        sendbuff, recvbuff, numel, dtype, nccl_red_type, root, comm->comm(),
+        stream));
+#else
+    PADDLE_ENFORCE_EQ(true, false,
+                      platform::errors::Unavailable(
+                          "PaddlePaddle should compile with GPU.."));
+#endif
+  }
+};
+
+class CReduceOpMaker : public framework::OpProtoAndCheckerMaker {
+ public:
+  void Make() {
+    AddInput("X", "(Tensor), tensor to be reduced.");
+    AddOutput("Out", "(Tensor) the reduced result.");
+    AddAttr<int>("ring_id", "(int default 0) communication ring id.")
+        .SetDefault(0);
+    AddAttr<int>("root_id", "(int default 0) root id.").SetDefault(0);
+    AddAttr<bool>(
+        "use_calc_stream",
+        "(bool default false) eject CUDA operations to calculation stream.")
+        .SetDefault(false);
+    AddComment(string::Sprintf(R"DOC(
+CReduce %s Operator
+
+Call collective Reduce with reduce type %s. If input and output are
+the same variable, in-place reduce will be used.
+)DOC",
+                               GetName(), GetName()));
+  }
+
+ protected:
+  virtual std::string GetName() const = 0;
+};
+
+}  // namespace operators
+}  // namespace paddle

paddle/fluid/operators/collective/c_reduce_prod_op.cc

+/* Copyright (c) 2019 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 "paddle/fluid/operators/collective/c_reduce_op.h"
+
+namespace paddle {
+namespace operators {
+
+class CReduceProdOpMaker : public CReduceOpMaker {
+ protected:
+  std::string GetName() const override { return "Prod"; }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_WITHOUT_GRADIENT(c_reduce_prod, ops::CReduceOp,
+                             ops::CReduceProdOpMaker);
+
+REGISTER_OP_CPU_KERNEL(c_reduce_prod,
+                       ops::CReduceOpCPUKernel<ops::kRedProd, float>,
+                       ops::CReduceOpCPUKernel<ops::kRedProd, double>,
+                       ops::CReduceOpCPUKernel<ops::kRedProd, int>,
+                       ops::CReduceOpCPUKernel<ops::kRedProd, int64_t>,
+                       ops::CReduceOpCPUKernel<ops::kRedProd, plat::float16>)

paddle/fluid/operators/collective/c_reduce_prod_op.cu.cc

+/* Copyright (c) 2019 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 "paddle/fluid/operators/collective/c_reduce_op.h"
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_CUDA_KERNEL(c_reduce_prod,
+                        ops::CReduceOpCUDAKernel<ops::kRedProd, float>,
+                        ops::CReduceOpCUDAKernel<ops::kRedProd, double>,
+                        ops::CReduceOpCUDAKernel<ops::kRedProd, int>,
+                        ops::CReduceOpCUDAKernel<ops::kRedProd, int64_t>,
+                        ops::CReduceOpCUDAKernel<ops::kRedProd, plat::float16>)

paddle/fluid/operators/collective/c_reduce_sum_op.cc

+/* Copyright (c) 2019 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 "paddle/fluid/operators/collective/c_reduce_op.h"
+
+namespace paddle {
+namespace operators {
+
+class CReduceSumOpMaker : public CReduceOpMaker {
+ protected:
+  std::string GetName() const override { return "Sum"; }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_WITHOUT_GRADIENT(c_reduce_sum, ops::CReduceOp,
+                             ops::CReduceSumOpMaker);
+
+REGISTER_OP_CPU_KERNEL(c_reduce_sum,
+                       ops::CReduceOpCPUKernel<ops::kRedSum, float>,
+                       ops::CReduceOpCPUKernel<ops::kRedSum, double>,
+                       ops::CReduceOpCPUKernel<ops::kRedSum, int>,
+                       ops::CReduceOpCPUKernel<ops::kRedSum, int64_t>,
+                       ops::CReduceOpCPUKernel<ops::kRedSum, plat::float16>)

paddle/fluid/operators/collective/c_reduce_sum_op.cu.cc

+/* Copyright (c) 2019 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 "paddle/fluid/operators/collective/c_reduce_op.h"
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_CUDA_KERNEL(c_reduce_sum,
+                        ops::CReduceOpCUDAKernel<ops::kRedSum, float>,
+                        ops::CReduceOpCUDAKernel<ops::kRedSum, double>,
+                        ops::CReduceOpCUDAKernel<ops::kRedSum, int>,
+                        ops::CReduceOpCUDAKernel<ops::kRedSum, int64_t>,
+                        ops::CReduceOpCUDAKernel<ops::kRedSum, plat::float16>)

paddle/fluid/operators/collective/c_scatter_op.cc

+/* Copyright (c) 2019 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 "paddle/fluid/operators/collective/c_scatter_op.h"
+
+namespace paddle {
+namespace operators {
+
+class CScatterOp : public framework::OperatorWithKernel {
+ public:
+  using framework::OperatorWithKernel::OperatorWithKernel;
+
+  void InferShape(framework::InferShapeContext* ctx) const override {
+    OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "CScatter");
+    OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "CScatter");
+    int root_id = ctx->Attrs().Get<int>("root");
+    int ring_id = ctx->Attrs().Get<int>("ring_id");
+    int nranks = ctx->Attrs().Get<int>("nranks");
+    PADDLE_ENFORCE_GE(nranks, 2,
+                      platform::errors::InvalidArgument(
+                          "The number of ranks (%d) must be greater than 1 "
+                          "to use collective op (c_scatter op).",
+                          nranks));
+    PADDLE_ENFORCE_GE(
+        root_id, 0,
+        platform::errors::InvalidArgument(
+            "The root_id (%d) for c_scatter_op must be non-negative.",
+            root_id));
+    PADDLE_ENFORCE_GE(
+        ring_id, 0,
+        platform::errors::InvalidArgument(
+            "The ring_id (%d) for c_scatter_op must be non-negative.",
+            root_id));
+    framework::DDim dim = ctx->GetInputDim("X");
+    dim[0] = dim[0] / nranks;
+    if (dim[0] < 0) dim[0] = -1;
+    ctx->SetOutputDim("Out", dim);
+  }
+
+ protected:
+  framework::OpKernelType GetExpectedKernelType(
+      const framework::ExecutionContext& ctx) const override {
+    return framework::OpKernelType(
+        OperatorWithKernel::IndicateVarDataType(ctx, "X"), ctx.GetPlace());
+  }
+};
+
+class CScatterOpMaker : public framework::OpProtoAndCheckerMaker {
+ public:
+  void Make() {
+    AddInput("X", "(Tensor) tensor to be broadcasted.");
+    AddOutput("Out", "(Tensor) the result of broadcast.");
+    AddAttr<int>("ring_id", "(int default 0) nccl communication ring id.")
+        .SetDefault(0);
+    AddAttr<int>("root", "(int default 0) root id for broadcasting.")
+        .SetDefault(0);
+    AddAttr<int>("nranks", "(int default 1) number of ranks.").SetDefault(0);
+    AddAttr<bool>(
+        "use_calc_stream",
+        "(bool default false) eject CUDA operations to calculation stream.")
+        .SetDefault(false);
+    AddComment(R"DOC(
+CScatter Operator
+Scatter the source to all participators.
+)DOC");
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_WITHOUT_GRADIENT(c_scatter, ops::CScatterOp, ops::CScatterOpMaker);
+
+REGISTER_OP_CPU_KERNEL(c_scatter, ops::CScatterOpCPUKernel<float>,
+                       ops::CScatterOpCPUKernel<double>,
+                       ops::CScatterOpCPUKernel<int>,
+                       ops::CScatterOpCPUKernel<int64_t>,
+                       ops::CScatterOpCPUKernel<plat::float16>);

paddle/fluid/operators/collective/c_scatter_op.cu.cc

+/* Copyright (c) 2019 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 "paddle/fluid/operators/collective/c_scatter_op.h"
+
+#if defined(PADDLE_WITH_NCCL)
+#include "paddle/fluid/platform/collective_helper.h"
+#include "paddle/fluid/platform/nccl_helper.h"
+#endif
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class CScatterOpCUDAKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+#if defined(PADDLE_WITH_NCCL)
+    auto x = ctx.Input<framework::LoDTensor>("X");
+    auto out = ctx.Output<framework::LoDTensor>("Out");
+    int numel = x->numel();
+    ncclDataType_t dtype = platform::ToNCCLDataType(x->type());
+
+    int nranks = ctx.Attr<int>("nranks");
+    int root_id = ctx.Attr<int>("root");
+    int ring_id = ctx.Attr<int>("ring_id");
+    auto place = ctx.GetPlace();
+    auto comm = platform::NCCLCommContext::Instance().Get(ring_id, place);
+    PADDLE_ENFORCE_EQ(nranks, comm->nranks(),
+                      platform::errors::InvalidArgument(
+                          "The number of ranks (%d) you set of must "
+                          "be equal to comm->nranks (%d).",
+                          nranks, comm->nranks()));
+    PADDLE_ENFORCE_GE(
+        root_id, 0,
+        platform::errors::InvalidArgument(
+            "The root_id (%d) for c_scatter_op must be non-negative.",
+            root_id));
+    PADDLE_ENFORCE_GE(
+        ring_id, 0,
+        platform::errors::InvalidArgument(
+            "The ring_id (%d) for c_scatter_op must be non-negative.",
+            ring_id));
+
+    cudaStream_t stream = nullptr;
+    if (ctx.Attr<bool>("use_calc_stream")) {
+      auto dev_ctx = platform::DeviceContextPool::Instance().Get(place);
+      stream = static_cast<platform::CUDADeviceContext*>(dev_ctx)->stream();
+    } else {
+      stream = comm->stream();
+    }
+
+    framework::DDim x_dims = x->dims();
+    framework::DDim out_dims(x_dims);
+    framework::Tensor temp;
+    auto in_data_ptr = x->data<T>();
+    PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclBroadcast(
+        reinterpret_cast<const void*>(in_data_ptr),
+        temp.mutable_data<T>(out_dims, place), numel, dtype, root_id,
+        comm->comm(), stream));
+    VLOG(3) << "rank " << comm->rank() << " invoke Scatter.";
+
+    out_dims[0] = out_dims[0] / nranks;
+    auto start_index = out_dims[0] * comm->rank();
+    auto end_index = start_index + out_dims[0];
+    temp = temp.Slice(start_index, end_index);
+    temp.Resize(out_dims);
+    out->mutable_data<T>(out_dims, place);
+    framework::TensorCopySync(*static_cast<const framework::Tensor*>(&temp),
+                              place, static_cast<framework::Tensor*>(out));
+    out->Resize(out_dims);
+#else
+    PADDLE_ENFORCE_EQ(
+        true, false,
+        platform::errors::Unavailable("PaddlePaddle should compile with GPU."));
+#endif
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_CUDA_KERNEL(c_scatter, ops::CScatterOpCUDAKernel<float>,
+                        ops::CScatterOpCUDAKernel<double>,
+                        ops::CScatterOpCUDAKernel<int>,
+                        ops::CScatterOpCUDAKernel<int64_t>,
+                        ops::CScatterOpCUDAKernel<plat::float16>);

paddle/fluid/operators/collective/c_scatter_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 <algorithm>
+#include <utility>
+#include <vector>
+
+#include "paddle/fluid/framework/data_type.h"
+#include "paddle/fluid/framework/lod_tensor.h"
+#include "paddle/fluid/framework/op_registry.h"
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class CScatterOpCPUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    PADDLE_ENFORCE_EQ(true, false,
+                      platform::errors::Unavailable(
+                          "Unimplemented cpu kernel for CScatterOp."));
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle

python/paddle/fluid/tests/unittests/CMakeLists.txt

@@ -55,6 +55,8 @@ if(NOT WITH_GPU OR WIN32)
     LIST(REMOVE_ITEM TEST_OPS test_allgather)
     LIST(REMOVE_ITEM TEST_OPS test_allreduce)
     LIST(REMOVE_ITEM TEST_OPS test_broadcast)
+    LIST(REMOVE_ITEM TEST_OPS test_collective_reduce)
+    LIST(REMOVE_ITEM TEST_OPS test_collective_scatter)
     LIST(REMOVE_ITEM TEST_OPS test_reducescatter)
     LIST(REMOVE_ITEM TEST_OPS test_reducescatter_api)
 endif()

python/paddle/fluid/tests/unittests/collective_reduce_op.py

+# 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.
+
+from __future__ import print_function
+
+import numpy as np
+import argparse
+import os
+import sys
+import signal
+import time
+import socket
+from contextlib import closing
+from six import string_types
+import math
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.profiler as profiler
+import paddle.fluid.unique_name as nameGen
+from paddle.fluid import core
+import unittest
+from multiprocessing import Process
+import paddle.fluid.layers as layers
+from functools import reduce
+from test_collective_base import TestCollectiveRunnerBase, runtime_main
+
+
+class TestCollectiveReduce(TestCollectiveRunnerBase):
+    def __init__(self):
+        self.global_ring_id = 0
+
+    def get_model(self, main_prog, startup_program):
+        ring_id = 0
+        rootid = 1
+        with fluid.program_guard(main_prog, startup_program):
+            tindata = layers.data(
+                name="tindata", shape=[10, 1000], dtype='float32')
+            toutdata = main_prog.current_block().create_var(
+                name="outofreduce",
+                dtype='float32',
+                type=core.VarDesc.VarType.LOD_TENSOR,
+                persistable=False,
+                stop_gradient=False)
+            main_prog.global_block().append_op(
+                type="c_reduce_sum",
+                inputs={'X': tindata},
+                attrs={'ring_id': ring_id,
+                       'root_id': rootid},
+                outputs={'Out': toutdata})
+            main_prog.global_block().append_op(
+                type="c_sync_comm_stream",
+                inputs={'X': toutdata},
+                outputs={'Out': toutdata},
+                attrs={'ring_id': ring_id})
+            return toutdata
+
+
+if __name__ == "__main__":
+    runtime_main(TestCollectiveReduce, "reduce", 0)

python/paddle/fluid/tests/unittests/collective_reduce_op_calc_stream.py

+# 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.
+
+from __future__ import print_function
+
+import numpy as np
+import argparse
+import os
+import sys
+import signal
+import time
+import socket
+from contextlib import closing
+from six import string_types
+import math
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.profiler as profiler
+import paddle.fluid.unique_name as nameGen
+from paddle.fluid import core
+import unittest
+from multiprocessing import Process
+import paddle.fluid.layers as layers
+from functools import reduce
+from test_collective_base import TestCollectiveRunnerBase, runtime_main
+
+
+class TestCollectiveReduce(TestCollectiveRunnerBase):
+    def __init__(self):
+        self.global_ring_id = 0
+
+    def get_model(self, main_prog, startup_program):
+        ring_id = 0
+        rootid = 1
+        with fluid.program_guard(main_prog, startup_program):
+            tindata = layers.data(
+                name="tindata", shape=[10, 1000], dtype='float32')
+            toutdata = main_prog.current_block().create_var(
+                name="outofreduce",
+                dtype='float32',
+                type=core.VarDesc.VarType.LOD_TENSOR,
+                persistable=False,
+                stop_gradient=False)
+            main_prog.global_block().append_op(
+                type="c_reduce_sum",
+                inputs={'X': tindata},
+                attrs={
+                    'ring_id': ring_id,
+                    'use_calc_stream': True,
+                    'root_id': rootid
+                },
+                outputs={'Out': toutdata})
+            main_prog.global_block().append_op(
+                type="c_sync_comm_stream",
+                inputs={'X': toutdata},
+                outputs={'Out': toutdata},
+                attrs={'ring_id': ring_id})
+            return toutdata
+
+
+if __name__ == "__main__":
+    runtime_main(TestCollectiveReduce, "reduce", 0)

python/paddle/fluid/tests/unittests/collective_scatter_op.py

+# 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.
+
+from __future__ import print_function
+
+import numpy as np
+import argparse
+import os
+import sys
+import signal
+import time
+import socket
+from contextlib import closing
+from six import string_types
+import math
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.profiler as profiler
+import paddle.fluid.unique_name as nameGen
+from paddle.fluid import core
+import unittest
+from multiprocessing import Process
+import paddle.fluid.layers as layers
+from functools import reduce
+from test_collective_base import TestCollectiveRunnerBase, runtime_main
+
+
+class TestCollectiveScatter(TestCollectiveRunnerBase):
+    def __init__(self):
+        self.global_ring_id = 0
+
+    def get_model(self, main_prog, startup_program):
+        ring_id = 0
+        rootid = 1
+        with fluid.program_guard(main_prog, startup_program):
+            tindata = layers.data(
+                name="tindata", shape=[10, 1000], dtype='float32')
+            toutdata = main_prog.current_block().create_var(
+                name="outofreduce",
+                dtype='float32',
+                type=core.VarDesc.VarType.LOD_TENSOR,
+                persistable=False,
+                stop_gradient=False)
+            main_prog.global_block().append_op(
+                type="c_scatter",
+                inputs={'X': tindata},
+                attrs={'ring_id': ring_id,
+                       'root': rootid,
+                       'nranks': 2},
+                outputs={'Out': toutdata})
+            main_prog.global_block().append_op(
+                type="c_sync_comm_stream",
+                inputs={'X': toutdata},
+                outputs={'Out': toutdata},
+                attrs={'ring_id': ring_id})
+            return toutdata
+
+
+if __name__ == "__main__":
+    runtime_main(TestCollectiveScatter, "scatter", 0)

python/paddle/fluid/tests/unittests/test_collective_base.py

@@ -241,6 +241,15 @@ class TestDistBase(unittest.TestCase):
             need_result = input2
             self.assertTrue(np.allclose(tr0_out, need_result))
             self.assertTrue(np.allclose(tr1_out, need_result))
+        elif col_type == "reduce":
+            need_result = input1 + input2
+            self.assertTrue(np.allclose(tr1_out, need_result))
+        elif col_type == "scatter":
+            need_result = input2
+            need_result1 = need_result[0:need_result.shape[0] // 2]
+            need_result2 = need_result[need_result.shape[0] // 2:]
+            self.assertTrue(np.allclose(tr0_out, need_result1))
+            self.assertTrue(np.allclose(tr1_out, need_result2))
         elif col_type == "allreduce":
             need_result = input1 + input2
             self.assertTrue(

python/paddle/fluid/tests/unittests/test_collective_reduce.py

+#   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.
+
+from __future__ import print_function
+import unittest
+import numpy as np
+
+from test_collective_base import TestDistBase
+
+
+class TestCReduceOp(TestDistBase):
+    def _setup_config(self):
+        pass
+
+    def test_reduce(self):
+        self.check_with_place("collective_reduce_op.py", "reduce")
+
+    def test_reduce_calc_stream(self):
+        self.check_with_place("collective_reduce_op_calc_stream.py", "reduce")
+
+
+if __name__ == '__main__':
+    unittest.main()

python/paddle/fluid/tests/unittests/test_collective_scatter.py

+#   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.
+
+from __future__ import print_function
+import unittest
+import numpy as np
+
+from test_collective_base import TestDistBase
+
+
+class TestCScatterOp(TestDistBase):
+    def _setup_config(self):
+        pass
+
+    def test_scatter(self):
+        self.check_with_place("collective_scatter_op.py", "scatter")
+
+
+if __name__ == '__main__':
+    unittest.main()