2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
8 * http://www.apache.org/licenses/LICENSE-2.0
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
17 #include "SpaceToDepth.h"
19 #include <tensorflow/lite/kernels/internal/optimized/optimized_ops.h>
21 namespace luci_interpreter
26 SpaceToDepth::SpaceToDepth(const Tensor *input, Tensor *output, const SpaceToDepthParams ¶ms)
27 : KernelWithParams<SpaceToDepthParams>({input}, {output}, params)
31 void SpaceToDepth::configure()
33 assert(input()->shape().num_dims() == 4);
34 assert(output()->element_type() == DataType::FLOAT32 ||
35 output()->element_type() == DataType::U8 || output()->element_type() == DataType::S8 ||
36 output()->element_type() == DataType::S32 || output()->element_type() == DataType::S64);
37 assert(input()->element_type() == output()->element_type());
39 const int block_size = params().block_size;
40 const int32_t input_height = input()->shape().dim(1);
41 const int32_t input_width = input()->shape().dim(2);
42 int32_t output_height = input_height / block_size;
43 int32_t output_width = input_width / block_size;
45 assert(input_height == output_height * block_size);
46 assert(input_width == output_width * block_size);
48 Shape output_shape(4);
49 output_shape.dim(0) = input()->shape().dim(0);
50 output_shape.dim(1) = output_height;
51 output_shape.dim(2) = output_width;
52 output_shape.dim(3) = input()->shape().dim(3) * block_size * block_size;
54 output()->resize(output_shape);
57 void SpaceToDepth::execute() const
59 tflite::SpaceToDepthParams op_params{};
60 op_params.block_size = params().block_size;
61 switch (input()->element_type())
63 case DataType::FLOAT32:
64 tflite::optimized_ops::SpaceToDepth(op_params, getTensorShape(input()),
65 getTensorData<float>(input()), getTensorShape(output()),
66 getTensorData<float>(output()));
69 tflite::optimized_ops::SpaceToDepth(op_params, getTensorShape(input()),
70 getTensorData<uint8_t>(input()), getTensorShape(output()),
71 getTensorData<uint8_t>(output()));
74 throw std::runtime_error("Unsupported type.");
78 } // namespace kernels
79 } // namespace luci_interpreter