Add cumprod function

fastdeploy/function/cumprod.cc

@@ -0,0 +1,78 @@
+// Copyright (c) 2022 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 "fastdeploy/function/cumprod.h"
+
+namespace fastdeploy {
+namespace function {
+
+void GetCumprodDimInfo(const std::vector<int64_t>& dim, int cumprod_dim,
+                       size_t* outer_dim, size_t* mid_dim, size_t* inner_dim) {
+  int dim_size = dim.size();
+  FDASSERT(cumprod_dim >= -dim_size,
+           "The input dim of CumprodOp should be larger than the opposite "
+           "rank of input x which is %d. But received dim = %d",
+           -dim_size, cumprod_dim);
+  FDASSERT(cumprod_dim < dim_size,
+           "The input dim of CumprodOp should be smaller than the "
+           "rank of input x which is %d. But received dim = %d",
+           dim_size, cumprod_dim);
+  if (cumprod_dim < 0)
+    cumprod_dim += dim_size;
+
+  *outer_dim = 1;
+  for (int i = 0; i < cumprod_dim; ++i) {
+    *outer_dim *= dim[i];
+  }
+  *mid_dim = dim[cumprod_dim];
+  *inner_dim = 1;
+  for (int i = cumprod_dim + 1; i < dim_size; ++i) {
+    *inner_dim *= dim[i];
+  }
+}
+
+template <typename T>
+void CumprodKernel(const FDTensor& x, FDTensor* out, int axis) {
+  auto* x_data = reinterpret_cast<const T*>(x.Data());
+  auto shape = x.Shape();
+
+  size_t outer_dim = 1;
+  size_t mid_dim = 1;
+  size_t inner_dim = 1;
+  GetCumprodDimInfo(shape, axis, &outer_dim, &mid_dim, &inner_dim);
+
+  out->Allocate(x.Shape(), x.Dtype());
+  auto* out_data = reinterpret_cast<T*>(out->Data());
+
+  for (size_t i = 0; i < outer_dim; i++) {
+    for (size_t j = 0; j < mid_dim; j++) {
+      for (size_t k = 0; k < inner_dim; k++) {
+        size_t pos = i * mid_dim * inner_dim + j * inner_dim + k;
+        if (j == 0) {
+          out_data[pos] = x_data[pos];
+        } else {
+          out_data[pos] = out_data[pos - inner_dim] * x_data[pos];
+        }
+      }
+    }
+  }
+}
+
+void Cumprod(const FDTensor& x, FDTensor* out, int axis) {
+  FD_VISIT_INT_FLOAT_TYPES(x.dtype, "CumprodKernel",
+                           ([&] { CumprodKernel<data_t>(x, out, axis); }));
+}
+
+}  // namespace function
+}  // namespace fastdeploy

fastdeploy/function/cumprod.h

@@ -0,0 +1,31 @@
+// Copyright (c) 2022 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 "fastdeploy/core/fd_tensor.h"
+
+namespace fastdeploy {
+namespace function {
+
+/** Excute the concatenate operation for input FDTensor along given axis.
+    @param x The input tensor.
+    @param out The output tensor which stores the result.
+    @param axisi Axis which will be concatenated.
+*/
+
+FASTDEPLOY_DECL void Cumprod(const FDTensor& x, FDTensor* out, int axis = 0);
+
+}  // namespace function
+}  // namespace fastdeploy