[phi] Move sequence_pool to phi - Step 3 ：sequence_pool_grad_op

paddle/fluid/operators/math/CMakeLists.txt

@@ -14,7 +14,6 @@ math_library(sample_prob)
 math_library(sampler DEPS generator)
 
 # math_library(math_function DEPS blas dense_tensor tensor)
-
 if(WITH_XPU)
   math_library(beam_search DEPS math_function beam_search_xpu)
 else()

paddle/fluid/operators/sequence_ops/sequence_pool_op.cc

@@ -12,10 +12,7 @@ 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/sequence_ops/sequence_pool_op.h"
-
-#include <memory>
-#include <string>
+#include "paddle/fluid/framework/op_registry.h"
 
 namespace paddle {
 namespace operators {
@@ -196,10 +193,3 @@ REGISTER_OPERATOR(sequence_pool,
 REGISTER_OPERATOR(sequence_pool_grad,
                   ops::SequencePoolGradOp,
                   ops::SequencePoolGradOpNoNeedBufferVarsInferer);
-
-PD_REGISTER_STRUCT_KERNEL(sequence_pool_grad,
-                          CPU,
-                          ALL_LAYOUT,
-                          ops::SequencePoolGradKernel,
-                          float,
-                          double) {}

paddle/fluid/operators/sequence_ops/unity_build_rule.cmake

@@ -30,7 +30,6 @@ register_unity_group(
   sequence_expand_op.cu
   sequence_mask_op.cu
   sequence_pad_op.cu
-  sequence_pool_op.cu
   sequence_expand_as_op.cu
   sequence_reshape_op.cu
   sequence_reverse_op.cu

paddle/phi/kernels/cpu/sequence_pool_grad_kernel.cc

@@ -0,0 +1,26 @@
+/* Copyright (c) 2023 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/phi/kernels/sequence_pool_grad_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/sequence_pool_grad_kernel_impl.h"
+
+PD_REGISTER_KERNEL(sequence_pool_grad,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::SequencePoolGradKernel,
+                   float,
+                   double) {}

paddle/fluid/operators/sequence_ops/sequence_pool_op.cu → paddle/phi/kernels/gpu/sequence_pool_grad_kernel.cu

@@ -1,4 +1,4 @@
-/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
+/* Copyright (c) 2023 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.
@@ -11,8 +11,12 @@ 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/sequence_ops/sequence_pool_op.h"
 
-namespace ops = paddle::operators;
-PD_REGISTER_STRUCT_KERNEL(
-    sequence_pool_grad, GPU, ALL_LAYOUT, ops::SequencePoolGradKernel, float) {}
+#include "paddle/phi/kernels/sequence_pool_grad_kernel.h"
+#include "paddle/phi/kernels/impl/sequence_pool_grad_kernel_impl.h"
+
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+PD_REGISTER_KERNEL(
+    sequence_pool_grad, GPU, ALL_LAYOUT, phi::SequencePoolGradKernel, float) {}

paddle/phi/kernels/impl/sequence_pool_grad_kernel_impl.h

@@ -0,0 +1,39 @@
+/* Copyright (c) 2023 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 "paddle/phi/kernels/funcs/sequence_pooling.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void SequencePoolGradKernel(const Context& dev_ctx,
+                            const DenseTensor& x,
+                            const paddle::optional<DenseTensor>& max_index,
+                            const DenseTensor& out_grad,
+                            bool is_test,
+                            const std::string& pooltype,
+                            float pad_value,
+                            DenseTensor* x_grad) {
+  const phi::DenseTensor* index = nullptr;
+  if (pooltype == "MAX") {
+    index = max_index.get_ptr();
+  }
+  dev_ctx.template Alloc<T>(x_grad);
+  phi::funcs::SequencePoolGradFunctor<Context, T> pool;
+  pool(dev_ctx, pooltype, out_grad, x_grad, index);
+}
+
+}  // namespace phi

paddle/phi/kernels/impl/sequence_pool_kernel_impl.h

@@ -68,7 +68,7 @@ void SequencePoolKernel(const Context& ctx,
       (is_test == false || (ctx.GetPlace() == phi::CPUPlace()) == false)) {
     index = max_index;
     index->Resize({dims});
-    ctx.template Alloc<int>(index);
+    ctx.template Alloc<int32_t>(index);
   }
   phi::funcs::SequencePoolFunctor<Context, T> pool;
   pool(ctx, pooltype, pad_value_, x, out, is_test, index);

paddle/phi/kernels/sequence_pool_grad_kernel.h

@@ -0,0 +1,30 @@
+/* Copyright (c) 2023 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 "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+template <typename T, typename Context>
+void SequencePoolGradKernel(const Context& dev_ctx,
+                            const DenseTensor& x,
+                            const paddle::optional<DenseTensor>& max_index,
+                            const DenseTensor& out_grad,
+                            bool is_test,
+                            const std::string& pooltype,
+                            float pad_value,
+                            DenseTensor* x_grad);
+
+}  // namespace phi

paddle/phi/ops/compat/sequence_pool_sig.cc

@@ -21,6 +21,16 @@ KernelSignature SequencePoolOpArgumentMapping(
                          {"Out", "MaxIndex"});
 }
 
+KernelSignature SequencePoolGradOpArgumentMapping(
+    const ArgumentMappingContext& ctx) {
+  return KernelSignature("sequence_pool_grad",
+                         {"X", "MaxIndex", "Out@GRAD"},
+                         {"is_test", "pooltype", "pad_value"},
+                         {"X@GRAD"});
+}
+
 }  // namespace phi
 
 PD_REGISTER_ARG_MAPPING_FN(sequence_pool, phi::SequencePoolOpArgumentMapping);
+PD_REGISTER_ARG_MAPPING_FN(sequence_pool_grad,
+                           phi::SequencePoolGradOpArgumentMapping);