[Fluid] move assign_pos to phi

paddle/fluid/operators/assign_pos_op.cc

@@ -12,7 +12,9 @@ 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/assign_pos_op.h"
+#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 {
@@ -78,6 +80,3 @@ namespace plat = paddle::platform;
 REGISTER_OP_WITHOUT_GRADIENT(assign_pos,
                              ops::AssignPosOp,
                              ops::AssignPosOpMaker);
-
-PD_REGISTER_STRUCT_KERNEL(
-    assign_pos, CPU, ALL_LAYOUT, ops::AssignPosOpCPUKernel, int, int64_t) {}

paddle/phi/kernels/assign_pos_kernel.h

@@ -0,0 +1,28 @@
+// 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 AssignPosKernel(const Context& dev_ctx,
+                     const DenseTensor& x,
+                     const DenseTensor& cum_count,
+                     const DenseTensor& eff_num_len,
+                     DenseTensor* out);
+
+}  // namespace phi

paddle/phi/kernels/cpu/assign_pos_kernel.cc

@@ -0,0 +1,34 @@
+// 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/assign_pos_kernel.h"
+#include "paddle/phi/core/errors.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void AssignPosKernel(const Context& dev_ctx,
+                     const DenseTensor& x,
+                     const DenseTensor& cum_count,
+                     const DenseTensor& eff_num_len,
+                     DenseTensor* out) {
+  PADDLE_THROW(phi::errors::Unavailable(
+      "Do not support assign pos op for cpu kernel now."));
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(
+    assign_pos, CPU, ALL_LAYOUT, phi::AssignPosKernel, int, int64_t) {}

paddle/phi/kernels/gpu/assign_pos_kernel.cu

@@ -0,0 +1,89 @@
+// 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/assign_pos_kernel.h"
+#include "paddle/phi/backends/gpu/gpu_primitives.h"
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/tensor_utils.h"
+
+namespace phi {
+
+static constexpr int kNumCUDAThreads = 512;
+static constexpr int kNumMaxinumNumBlocks = 4096;
+
+static inline int NumBlocks(const int N) {
+  return std::min((N + kNumCUDAThreads - 1) / kNumCUDAThreads,
+                  kNumMaxinumNumBlocks);
+}
+
+template <typename T>
+__global__ void AssignPos(T* cum_count,
+                          const T* numbers,
+                          T* out,
+                          int64_t limit) {
+  CUDA_KERNEL_LOOP(i, limit) {
+    int number_idx = numbers[i];
+    if (number_idx > -1) {
+      int p = phi::CudaAtomicAdd(cum_count + number_idx, -1);
+      out[p - 1] = i;
+    }
+  }
+}
+
+template <typename T, typename Context>
+void AssignPosKernel(const Context& dev_ctx,
+                     const DenseTensor& x,
+                     const DenseTensor& cum_count,
+                     const DenseTensor& eff_num_len,
+                     DenseTensor* out) {
+  // assign pos decides which tokens should be fetched belong to specially
+  // counter orderingly.
+  auto cum_count_ptr = &cum_count;      // (counter number) int32 | int64
+  auto numbers = &x;                    // (batch_size * seq_len, topk) int32
+  auto eff_num_len_ptr = &eff_num_len;  // (sum(cum_count))
+  auto out_ptr = &out;                  // (cum_count) value ranges
+                                        // from 0 to batch_size *
+                                        // seq_len * topk
+  auto numel = numbers->numel();
+  T* cum_data = const_cast<T*>(cum_count_ptr->data<T>());
+  auto cum_size = cum_count_ptr->numel();
+
+  phi::DenseTensor cpu_eff_num_len;
+  int64_t cpu_eff_num_len_data = 0;
+  bool is_cpu_place = eff_num_len_ptr->place() == phi::CPUPlace();
+  if (is_cpu_place) {
+    cpu_eff_num_len_data = eff_num_len_ptr->data<T>()[0];
+  } else {
+    phi::Copy(dev_ctx, eff_num_len, phi::CPUPlace(), false, &cpu_eff_num_len);
+    cpu_eff_num_len_data = cpu_eff_num_len.data<T>()[0];
+  }
+
+  phi::DDim out_dims = phi::make_ddim({cpu_eff_num_len_data});
+  out->Resize(out_dims);
+  auto out_data = dev_ctx.template Alloc<T>(out);
+
+  const T* num_data = numbers->data<T>();
+
+  int blocks = NumBlocks(numel);
+  int threads = kNumCUDAThreads;
+
+  AssignPos<T><<<blocks, threads, 0, dev_ctx.stream()>>>(
+      cum_data, num_data, out_data, numel);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(assign_pos, GPU, ALL_LAYOUT, phi::AssignPosKernel, int64_t) {
+}

paddle/phi/ops/compat/assign_pos_sig.cc

@@ -0,0 +1,27 @@
+/* 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/core/compat/op_utils.h"
+
+namespace phi {
+
+KernelSignature AssignPosOpArgumentMapping(
+    const ArgumentMappingContext& ctx UNUSED) {
+  return KernelSignature(
+      "assign_pos", {"X", "cum_count", "eff_num_len"}, {}, {"Out"});
+}
+
+}  // namespace phi
+
+PD_REGISTER_ARG_MAPPING_FN(assign_pos, phi::AssignPosOpArgumentMapping);

test/legacy_test/test_assign_pos_op.py

@@ -87,8 +87,9 @@ def setUp(self):
         self.cum_count = cum_count
 
     def test_forward(self):
+        paddle.enable_static()
         np.testing.assert_allclose = get_redefined_allclose(self.cum_count)
-        self.check_output_with_place(paddle.CUDAPlace(0))
+        self.check_output_with_place(paddle.CUDAPlace(0), check_dygraph=False)
 
 
 @unittest.skipIf(