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 #ifndef LUCI_INTERPRETER_KERNELS_TRANSPOSECONV_H
18 #define LUCI_INTERPRETER_KERNELS_TRANSPOSECONV_H
20 #include "core/Kernel.h"
21 #include "core/KernelParams.h"
23 namespace luci_interpreter
28 class ChannelQuantMultipliers;
30 class TransposeConv : public KernelWithParams<TransposeConvParams>
33 TransposeConv(const Tensor *output_shape, const Tensor *filter, const Tensor *input,
34 const Tensor *bias, Tensor *output, Tensor *scratch_tensor,
35 const TransposeConvParams ¶ms);
39 const Tensor *output_shape() const { return _inputs[0]; }
40 const Tensor *filter() const { return _inputs[1]; }
41 const Tensor *input() const { return _inputs[2]; }
42 const Tensor *bias() const { return _inputs[3]; }
43 Tensor *output() const { return _outputs[0]; }
45 void configure() override;
46 void execute() const override;
49 void evalFloat() const;
50 void evalQuantized() const;
51 void evalQuantizedPerChannel() const;
52 void evalQuantizedS16() const;
55 int32_t _padding_height{};
56 int32_t _padding_width{};
57 // The scaling factor from input to output (aka the 'real multiplier') can
58 // be represented as a fixed point multiplier plus a left shift.
59 std::vector<ChannelQuantMultipliers> _quant_multipliers;
62 } // namespace kernels
63 } // namespace luci_interpreter
65 #endif // LUCI_INTERPRETER_KERNELS_TRANSPOSECONV_H