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Diffstat (limited to 'runtime/contrib/pure_arm_compute/src/internal/op/DepthwiseConv2D.cc')
-rw-r--r-- | runtime/contrib/pure_arm_compute/src/internal/op/DepthwiseConv2D.cc | 128 |
1 files changed, 128 insertions, 0 deletions
diff --git a/runtime/contrib/pure_arm_compute/src/internal/op/DepthwiseConv2D.cc b/runtime/contrib/pure_arm_compute/src/internal/op/DepthwiseConv2D.cc new file mode 100644 index 000000000..f4d1ca3c5 --- /dev/null +++ b/runtime/contrib/pure_arm_compute/src/internal/op/DepthwiseConv2D.cc @@ -0,0 +1,128 @@ +/* + * Copyright (c) 2018 Samsung Electronics Co., Ltd. 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 "internal/op/DepthwiseConv2D.h" +#include "internal/op/NodeVisitor.h" + +#include <cassert> + +namespace internal +{ +namespace tflite +{ +namespace op +{ +namespace DepthwiseConv2D +{ +namespace Explicit +{ + +void Node::accept(NodeVisitor &&v) const { v.visit(*this); } + +} // namespace Explicit + +namespace Implicit +{ + +void Node::accept(NodeVisitor &&v) const { v.visit(*this); } + +} // namespace Implicit +} // namespace DepthwiseConv2D +} // namespace op +} // namespace tflite +} // namespace internal + +namespace internal +{ +namespace tflite +{ +namespace op +{ +namespace DepthwiseConv2D +{ +namespace Explicit +{ + +Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount, + const uint32_t *outputs) +{ + assert(inputCount == 11 && outputCount == 1); + + ofm_index = outputs[0]; + + // Each input should be interpreted as follows: + // + // 0 -> IFM Tensor Index + // 1 -> Kernel Tensor Index + // 2 -> Bias Tensor Index + // 3 -> Padding_left index + // 4 -> Padding_right index + // 5 -> Padding_top index + // 6 -> Padding_bottom index + // 7 -> Stride (width) Index + // 8 -> Stride (height) INdex + // 9 -> Depthwise Multiplier + // 10 -> Activation Index + ifm_index = inputs[0]; + ker_index = inputs[1]; + bias_index = inputs[2]; + padding_left_index = inputs[3]; + padding_right_index = inputs[4]; + padding_top_index = inputs[5]; + padding_bottom_index = inputs[6]; + hstride_index = inputs[7]; + vstride_index = inputs[8]; + multiplier_index = inputs[9]; + activation_index = inputs[10]; +} + +} // namespace Explicit + +namespace Implicit +{ + +Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount, + const uint32_t *outputs) +{ + assert(inputCount == 8 && outputCount == 1); + + ofm_index = outputs[0]; + + // Each input should be interpreted as follows: + // + // 0 -> IFM Tensor Index + // 1 -> Kernel Tensor Index + // 2 -> Bias Tensor Index + // 3 -> Padding Code (ANEURALNETWORKS_PADDING_SAME or ANEURALNETWORKS_PADDING_VALID) Index + // 4 -> Stride (width) Index + // 5 -> Stride (height) INdex + // 6 -> Depthwise Multiplier + // 7 -> Activation Index + ifm_index = inputs[0]; + ker_index = inputs[1]; + bias_index = inputs[2]; + padding_index = inputs[3]; + hstride_index = inputs[4]; + vstride_index = inputs[5]; + multiplier_index = inputs[6]; + activation_index = inputs[7]; +} + +} // namespace Implicit +} // namespace DepthwiseConv2D +} // namespace op +} // namespace tflite +} // namespace internal |