2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
3 * Copyright 2019 The TensorFlow Authors. All Rights Reserved.
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
9 * http://www.apache.org/licenses/LICENSE-2.0
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
18 #ifndef LUCI_INTERPRETER_KERNELS_TRANSPOSECONV_H
19 #define LUCI_INTERPRETER_KERNELS_TRANSPOSECONV_H
21 #include "core/Kernel.h"
22 #include "core/KernelParams.h"
24 namespace luci_interpreter
29 class ChannelQuantMultipliers;
31 class TransposeConv : public KernelWithParams<TransposeConvParams>
34 TransposeConv(const Tensor *output_shape, const Tensor *filter, const Tensor *input,
35 const Tensor *bias, Tensor *output, Tensor *scratch_tensor,
36 const TransposeConvParams ¶ms);
40 const Tensor *output_shape() const { return _inputs[0]; }
41 const Tensor *filter() const { return _inputs[1]; }
42 const Tensor *input() const { return _inputs[2]; }
43 const Tensor *bias() const { return _inputs[3]; }
44 Tensor *output() const { return _outputs[0]; }
46 void configure() override;
47 void execute() const override;
50 void evalFloat() const;
51 void evalQuantized() const;
52 void evalQuantizedPerChannel() const;
53 void evalQuantizedS16() const;
56 int32_t _padding_height{};
57 int32_t _padding_width{};
58 // The scaling factor from input to output (aka the 'real multiplier') can
59 // be represented as a fixed point multiplier plus a left shift.
60 std::vector<ChannelQuantMultipliers> _quant_multipliers;
63 } // namespace kernels
64 } // namespace luci_interpreter
66 #endif // LUCI_INTERPRETER_KERNELS_TRANSPOSECONV_H