!3020 Add embedding look up kernels

Merge pull request !3020 from ZPaC/add-ps-embedding-look-up-kernel

mindspore/ccsrc/kernel/CMakeLists.txt

@@ -26,7 +26,10 @@ if (ENABLE_CPU)
         "cpu/*.cc"
     )
 
-    list(REMOVE_ITEM CPU_SRC_LIST "cpu/ps/push_kernel.cc" "cpu/ps/pull_kernel.cc")
+    list(REMOVE_ITEM CPU_SRC_LIST "cpu/ps/push_kernel.cc" 
+                                  "cpu/ps/pull_kernel.cc"
+                                  "cpu/ps/embedding_look_up_ps_kernel.cc"
+                                  "cpu/ps/embedding_look_up_proxy_kernel.cc")
 
     if (NOT ENABLE_MPI)
         list(REMOVE_ITEM CPU_SRC_LIST "cpu/allgather_cpu_kernel.cc")

mindspore/ccsrc/kernel/cpu/ps/embedding_look_up_proxy_kernel.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 "kernel/cpu/ps/embedding_look_up_proxy_kernel.h"
+#include <vector>
+#include "parallel/ps/worker.h"
+
+namespace mindspore {
+namespace kernel {
+namespace ps {
+void EmbeddingLookUpProxyKernel::InitKernel(const CNodePtr &kernel_node) {
+  EmbeddingLookUpCPUKernel::InitKernel(kernel_node);
+
+  for (auto dim : input_shape_) {
+    input_dims_ *= dim;
+  }
+
+  if (mindspore::parallel::ps::Util::IsRoleOfWorker()) {
+    key_ = AnfAlgo::GetNodeAttr<size_t>(kernel_node, kAttrPsKey);
+  }
+  std::vector<size_t> keys{key_, key_, key_};
+  std::vector<size_t> values;
+  values.insert(values.end(), input_shape_.begin(), input_shape_.end());
+  values.insert(values.end(), indices_shape_.begin(), indices_shape_.end());
+  values.insert(values.end(), output_shape_.begin(), output_shape_.end());
+  std::vector<int> lens{SizeToInt(input_shape_.size()), SizeToInt(indices_shape_.size()),
+                        SizeToInt(output_shape_.size())};
+  const char *env_role = getenv(mindspore::parallel::ps::kEnvRole);
+  if (env_role != nullptr && strcmp(env_role, mindspore::parallel::ps::kEnvRoleOfWorker) == 0) {
+    parallel::ps::Worker<float>::GetInstance().AddEmbeddingTable(key_, input_shape_[axis_]);
+    parallel::ps::Worker<float>::GetInstance().InitPSEmbeddingTable(keys, values, lens);
+  }
+}
+
+bool EmbeddingLookUpProxyKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
+                                        const std::vector<kernel::AddressPtr> & /*workspace*/,
+                                        const std::vector<kernel::AddressPtr> &outputs) {
+  auto indices_addr = reinterpret_cast<int *>(inputs[1]->addr);
+  auto output_addr = reinterpret_cast<float *>(outputs[0]->addr);
+  size_t input_size = inputs[1]->size;
+  size_t output_size = outputs[0]->size;
+
+  size_t size = input_size / sizeof(float);
+  ::ps::SArray<float> lookup_ids(size, 0);
+  ::ps::SArray<int> lengths{size};
+  ::ps::SArray<float> lookup_result;
+
+  auto ret = memcpy_s(lookup_ids.data(), input_size, indices_addr, input_size);
+  if (ret != EOK) {
+    MS_LOG(EXCEPTION) << "Lookup id memcpy failed.";
+  }
+  parallel::ps::Worker<float>::GetInstance().DoPSEmbeddingLookup({key_}, lookup_ids, lengths, lookup_result,
+                                                                 parallel::ps::kEmbeddingLookupCmd);
+
+  auto ret2 = memcpy_s(output_addr, output_size, lookup_result.data(), output_size);
+  if (ret2 != EOK) {
+    MS_LOG(EXCEPTION) << "Lookup result memcpy failed.";
+  }
+  return true;
+}
+}  // namespace ps
+}  // namespace kernel
+}  // namespace mindspore

mindspore/ccsrc/kernel/cpu/ps/embedding_look_up_proxy_kernel.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 MINDSPORE_CCSRC_KERNEL_CPU_EMBEDDING_LOOK_UP_PROXY_KERNEL_H_
+#define MINDSPORE_CCSRC_KERNEL_CPU_EMBEDDING_LOOK_UP_PROXY_KERNEL_H_
+
+#include "kernel/cpu/embedding_look_up_cpu_kernel.h"
+#include <vector>
+#include "kernel/cpu/cpu_kernel_factory.h"
+
+namespace mindspore {
+namespace kernel {
+namespace ps {
+class EmbeddingLookUpProxyKernel : public EmbeddingLookUpCPUKernel {
+ public:
+  EmbeddingLookUpProxyKernel() = default;
+  ~EmbeddingLookUpProxyKernel() override = default;
+
+  void InitKernel(const CNodePtr &kernel_node) override;
+
+  bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace,
+              const std::vector<AddressPtr> &outputs) override;
+
+ private:
+  size_t key_{0};
+  size_t input_dims_{1};
+};
+
+MS_REG_CPU_KERNEL(
+  EmbeddingLookupProxy,
+  KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeFloat32),
+  EmbeddingLookUpProxyKernel);
+}  // namespace ps
+}  // namespace kernel
+}  // namespace mindspore
+
+#endif  // MINDSPORE_CCSRC_KERNEL_CPU_EMBEDDING_LOOK_UP_PROXY_KERNEL_H_

mindspore/ccsrc/kernel/cpu/ps/embedding_look_up_ps_kernel.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 "kernel/cpu/ps/embedding_look_up_ps_kernel.h"
+#include <functional>
+#include <vector>
+#include <memory>
+#include "kernel/common_utils.h"
+#include "parallel/ps/util.h"
+
+namespace mindspore {
+namespace kernel {
+namespace ps {
+using mindspore::parallel::ps::Util;
+void EmbeddingLookUpPSKernel::InitKernel(
+  const std::shared_ptr<std::vector<std::shared_ptr<std::vector<size_t>>>> &shapes) {
+  const std::vector<std::shared_ptr<std::vector<size_t>>> &shape_vec = *shapes;
+  input_shape_ = *(shape_vec[0]);
+  input_lens_ = 1;
+  for (auto shape : input_shape_) {
+    input_lens_ = input_lens_ * shape;
+  }
+  indices_shape_ = *(shape_vec[1]);
+  indices_lens_ = 1;
+  for (auto shape : indices_shape_) {
+    indices_lens_ = indices_lens_ * shape;
+  }
+  output_shape_ = *(shape_vec[2]);
+  axis_ = 2;
+  reduce_scatter_flag_ = false;
+
+  size_t offset = 0;
+  for (size_t i = 0; i < rank_id_; i++) {
+    offset += Util::LocalShard(input_shape_[axis_], i, pserver_num_);
+  }
+  offset_ = offset;
+  split_num_ = pserver_num_;
+
+  // input shape should be sharded after computing offset_;
+  Shard(input_shape_, axis_);
+
+  size_t output_size =
+    std::accumulate(output_shape_.begin(), output_shape_.end(), sizeof(float), std::multiplies<size_t>());
+  output_size_list_.emplace_back(output_size);
+  CPUKernelUtils::ExpandDimsTo4(&input_shape_);
+  CPUKernelUtils::ExpandDimsTo4(&output_shape_);
+}
+
+void EmbeddingLookUpPSKernel::ReInit(const std::shared_ptr<std::vector<std::shared_ptr<std::vector<size_t>>>> &shapes) {
+  const std::vector<std::shared_ptr<std::vector<size_t>>> &shape_vec = *shapes;
+  const auto &indices_shape_ = *(shape_vec[0]);
+  indices_lens_ = indices_shape_[0];
+
+  size_t output_size = sizeof(float) * indices_lens_;
+  for (size_t i = axis_ + 1; i < input_shape_.size(); i++) {
+    output_size *= input_shape_[i];
+  }
+  output_size_list_.clear();
+  output_size_list_.emplace_back(output_size);
+}
+
+bool EmbeddingLookUpPSKernel::Execute(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace,
+                                      const std::vector<AddressPtr> &outputs) {
+  return Launch(inputs, workspace, outputs);
+}
+
+const std::vector<size_t> &EmbeddingLookUpPSKernel::input_sizes() const { return input_shape_; }
+
+const std::vector<size_t> &EmbeddingLookUpPSKernel::output_sizes() const { return GetOutputSizeList(); }
+
+const std::vector<size_t> &EmbeddingLookUpPSKernel::workspace_sizes() const { return GetWorkspaceSizeList(); }
+}  // namespace ps
+}  // namespace kernel
+}  // namespace mindspore

mindspore/ccsrc/kernel/cpu/ps/embedding_look_up_ps_kernel.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 MINDSPORE_CCSRC_KERNEL_CPU_EMBEDDING_LOOK_UP_PS_KERNEL_H_
+#define MINDSPORE_CCSRC_KERNEL_CPU_EMBEDDING_LOOK_UP_PS_KERNEL_H_
+
+#include <vector>
+#include <memory>
+#include "kernel/cpu/embedding_look_up_cpu_kernel.h"
+#include "kernel/cpu/ps/pserver_kernel.h"
+
+namespace mindspore {
+namespace kernel {
+namespace ps {
+class EmbeddingLookUpPSKernel : public EmbeddingLookUpCPUKernel, public PServerKernel {
+ public:
+  EmbeddingLookUpPSKernel(size_t rank_id, size_t pserver_num) : PServerKernel(rank_id, pserver_num) {}
+  ~EmbeddingLookUpPSKernel() override = default;
+
+  void InitKernel(const std::shared_ptr<std::vector<std::shared_ptr<std::vector<size_t>>>> &) override;
+  void ReInit(const std::shared_ptr<std::vector<std::shared_ptr<std::vector<size_t>>>> &) override;
+
+  bool Execute(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace,
+               const std::vector<AddressPtr> &outputs) override;
+
+  const std::vector<size_t> &input_sizes() const override;
+  const std::vector<size_t> &output_sizes() const override;
+  const std::vector<size_t> &workspace_sizes() const override;
+};
+}  // namespace ps
+}  // namespace kernel
+}  // namespace mindspore
+
+#endif  // MINDSPORE_CCSRC_KERNEL_CPU_EMBEDDING_LOOK_UP_PS_KERNEL_H_