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Add cumprod function
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‎fastdeploy/function/cumprod.cc

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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "fastdeploy/function/cumprod.h"
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namespace fastdeploy {
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namespace function {
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void GetCumprodDimInfo(const std::vector<int64_t>& dim, int cumprod_dim,
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size_t* outer_dim, size_t* mid_dim, size_t* inner_dim) {
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int dim_size = dim.size();
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FDASSERT(cumprod_dim >= -dim_size,
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"The input dim of CumprodOp should be larger than the opposite "
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"rank of input x which is %d. But received dim = %d",
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-dim_size, cumprod_dim);
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FDASSERT(cumprod_dim < dim_size,
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"The input dim of CumprodOp should be smaller than the "
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"rank of input x which is %d. But received dim = %d",
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dim_size, cumprod_dim);
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if (cumprod_dim < 0)
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cumprod_dim += dim_size;
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*outer_dim = 1;
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for (int i = 0; i < cumprod_dim; ++i) {
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*outer_dim *= dim[i];
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}
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*mid_dim = dim[cumprod_dim];
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*inner_dim = 1;
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for (int i = cumprod_dim + 1; i < dim_size; ++i) {
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*inner_dim *= dim[i];
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}
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}
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template <typename T>
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void CumprodKernel(const FDTensor& x, FDTensor* out, int axis) {
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auto* x_data = reinterpret_cast<const T*>(x.Data());
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auto shape = x.Shape();
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size_t outer_dim = 1;
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size_t mid_dim = 1;
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size_t inner_dim = 1;
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GetCumprodDimInfo(shape, axis, &outer_dim, &mid_dim, &inner_dim);
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out->Allocate(x.Shape(), x.Dtype());
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auto* out_data = reinterpret_cast<T*>(out->Data());
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for (size_t i = 0; i < outer_dim; i++) {
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for (size_t j = 0; j < mid_dim; j++) {
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for (size_t k = 0; k < inner_dim; k++) {
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size_t pos = i * mid_dim * inner_dim + j * inner_dim + k;
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if (j == 0) {
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out_data[pos] = x_data[pos];
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} else {
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out_data[pos] = out_data[pos - inner_dim] * x_data[pos];
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}
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}
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}
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}
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}
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void Cumprod(const FDTensor& x, FDTensor* out, int axis) {
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FD_VISIT_INT_FLOAT_TYPES(x.dtype, "CumprodKernel",
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([&] { CumprodKernel<data_t>(x, out, axis); }));
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}
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} // namespace function
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} // namespace fastdeploy

‎fastdeploy/function/cumprod.h

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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy/core/fd_tensor.h"
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namespace fastdeploy {
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namespace function {
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/** Excute the concatenate operation for input FDTensor along given axis.
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@param x The input tensor.
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@param out The output tensor which stores the result.
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@param axisi Axis which will be concatenated.
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*/
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FASTDEPLOY_DECL void Cumprod(const FDTensor& x, FDTensor* out, int axis = 0);
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} // namespace function
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} // namespace fastdeploy

‎tests/function/test_cumprod.cc

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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "fastdeploy/core/fd_tensor.h"
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#include "fastdeploy/function/cumprod.h"
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#include "glog/logging.h"
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#include "gtest_utils.h"
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#include "gtest/gtest.h"
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#include <array>
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#include <vector>
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namespace fastdeploy {
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namespace function {
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std::vector<float> CreateTestData() {
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// Shape: [2, 3, 4]
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std::vector<float> x_data = {
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0.8428625, 0.6461913, 0.13740455, 0.11430702, 0.659926, 0.535816,
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0.7429162, 0.8456049, 0.21228176, 0.29970083, 0.8621713, 0.40894133,
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0.12684688, 0.1566195, 0.42884097, 0.8476526, 0.2458633, 0.669046,
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0.87888306, 0.6762589, 0.666453, 0.32523027, 0.4139388, 0.8341406};
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return x_data;
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}
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TEST(fastdeploy, cumprod) {
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CheckShape check_shape;
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CheckData check_data;
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FDTensor x, y;
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auto test_data = CreateTestData();
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x.SetExternalData({2, 3, 4}, FDDataType::FP32, test_data.data());
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std::vector<float> result = {0.842862, 0.646191, 0.137405, 0.114307, 0.659926,
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0.535816, 0.742916, 0.845605, 0.212282, 0.299701,
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0.862171, 0.408941, 0.106914, 0.101206, 0.058925,
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0.096893, 0.162252, 0.358486, 0.652937, 0.571848,
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0.141476, 0.097472, 0.356886, 0.341115};
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Cumprod(x, &y, 0);
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check_shape(y.shape, {2, 3, 4});
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check_data(reinterpret_cast<const float*>(y.Data()), result.data(),
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result.size());
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result = {0.842862, 0.646191, 0.137405, 0.114307, 0.556227, 0.34624,
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0.10208, 0.096659, 0.118077, 0.103768, 0.088011, 0.039528,
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0.126847, 0.15662, 0.428841, 0.847653, 0.031187, 0.104786,
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0.376901, 0.573233, 0.020785, 0.034079, 0.156014, 0.478157};
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Cumprod(x, &y, 1);
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check_shape(y.shape, {2, 3, 4});
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check_data(reinterpret_cast<const float*>(y.Data()), result.data(),
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result.size());
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result = {0.842862, 0.54465, 0.074837, 0.008554, 0.659926, 0.353599,
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0.262694, 0.222136, 0.212282, 0.063621, 0.054852, 0.022431,
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0.126847, 0.019867, 0.00852, 0.007222, 0.245863, 0.164494,
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0.144571, 0.097767, 0.666453, 0.216751, 0.089722, 0.07484};
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Cumprod(x, &y, 2);
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check_shape(y.shape, {2, 3, 4});
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check_data(reinterpret_cast<const float*>(y.Data()), result.data(),
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result.size());
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}
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} // namespace function
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} // namespace fastdeploy

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