Added EmbeddingLookup & deprecate LshProjection

Added EmbeddingLookup and unit test
Changed LshProjection op status to Deprecated

Type: New Feature
Signed-off-by: Feiyue Chen <Feiyue.Chen@verisilicon.com>
This commit is contained in:
Feiyue Chen 2022-11-29 18:01:13 +08:00 committed by Sven
parent 13da73bbe3
commit 8d8f4b6e68
5 changed files with 159 additions and 2 deletions

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@ -99,5 +99,6 @@
#include "tim/vx/ops/topk.h" #include "tim/vx/ops/topk.h"
#include "tim/vx/ops/bidirectional_sequence_lstm.h" #include "tim/vx/ops/bidirectional_sequence_lstm.h"
#include "tim/vx/ops/hashtable_lookup.h" #include "tim/vx/ops/hashtable_lookup.h"
#include "tim/vx/ops/embedding_lookup.h"
#endif /* TIM_VX_OPS_H_ */ #endif /* TIM_VX_OPS_H_ */

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@ -0,0 +1,49 @@
/****************************************************************************
*
* Copyright (c) 2022 Vivante Corporation
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*
*****************************************************************************/
#ifndef TIM_VX_OPS_EMBEDDING_LOOKUP_H_
#define TIM_VX_OPS_EMBEDDING_LOOKUP_H_
#include "tim/vx/builtin_op.h"
namespace tim {
namespace vx {
namespace ops {
/**
* ## EmbeddingLookup
*
* Looks up sub-tensors in the input tensor with specific indices(idx)
*/
class EmbeddingLookup : public BuiltinOp {
public:
EmbeddingLookup(Graph* Graph);
std::shared_ptr<Operation> Clone(std::shared_ptr<Graph>& graph) const override;
};
} // namespace ops
} // namespace vx
} // namespace tim
#endif /* TIM_VX_OPS_EMBEDDING_LOOKUP_H_ */

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@ -128,8 +128,7 @@ MaxPool3d|MAX_POOL3D|Mapped|[Onnx.MaxPool](https://github.com/onnx/onnx/blob/mai
|LSTMCell|LSTMUNIT_OVXLIB|replace with UnidirectionalSequenceLSTM by set n_step = 1 |[ANEURALNETWORKS_LSTM](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0ad0377e8c305e596fb7f64ff896671fc5) |LSTMCell|LSTMUNIT_OVXLIB|replace with UnidirectionalSequenceLSTM by set n_step = 1 |[ANEURALNETWORKS_LSTM](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0ad0377e8c305e596fb7f64ff896671fc5)
||PRE_PROCESS|TBD |Image Preprocessing (YUV2RGB, Input Normalization, Resizing, etc) ||PRE_PROCESS|TBD |Image Preprocessing (YUV2RGB, Input Normalization, Resizing, etc)
|HashtableLookup|HASHTABLE_LOOKUP|Mapped|[ANEURALNETWORKS_HASHTABLE_LOOKUP](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0aca92716c8c73c1f0fa7f0757916fee26) |HashtableLookup|HASHTABLE_LOOKUP|Mapped|[ANEURALNETWORKS_HASHTABLE_LOOKUP](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0aca92716c8c73c1f0fa7f0757916fee26)
||EMBEDDING_LOOKUP|Planned 22Q4|[ANEURALNETWORKS_EMBEDDING_LOOKUP](developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0a8d2ada77adb74357fc0770405bca0e3) |EmbeddingLookup|EMBEDDING_LOOKUP|Mapped|[ANEURALNETWORKS_EMBEDDING_LOOKUP](developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0a8d2ada77adb74357fc0770405bca0e3)
||LSH_PROJECTION|Planned 22Q4|[ANEURALNETWORKS_LSH_PROJECTION](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0a800cdcec5d7ba776789cb2d1ef669965)
||HEATMAP_MAX_KEYPOINT|TBD|[ANEURALNETWORKS_HEATMAP_MAX_KEYPOINT](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0a5ffccf92d127766a741225ff7ad6f743) ||HEATMAP_MAX_KEYPOINT|TBD|[ANEURALNETWORKS_HEATMAP_MAX_KEYPOINT](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0a5ffccf92d127766a741225ff7ad6f743)
||AXIS_ALIGNED_BBOX_TRANSFORM|TBD|[ANEURALNETWORKS_AXIS_ALIGNED_BBOX_TRANSFORM](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0afd7603dd54060e6a52f5861674448528) ||AXIS_ALIGNED_BBOX_TRANSFORM|TBD|[ANEURALNETWORKS_AXIS_ALIGNED_BBOX_TRANSFORM](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0afd7603dd54060e6a52f5861674448528)
||BOX_WITH_NMS_LIMIT|TBD|[ANEURALNETWORKS_BOX_WITH_NMX_LIMIT](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0a2d81e878c19e15700dad111ba6c0be89) ||BOX_WITH_NMS_LIMIT|TBD|[ANEURALNETWORKS_BOX_WITH_NMX_LIMIT](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0a2d81e878c19e15700dad111ba6c0be89)
@ -145,6 +144,7 @@ MaxPool3d|MAX_POOL3D|Mapped|[Onnx.MaxPool](https://github.com/onnx/onnx/blob/mai
OneHot|ONE_HOT|Mapped|[tf.one_hot](https://tensorflow.google.cn/api_docs/python/tf/one_hot) OneHot|ONE_HOT|Mapped|[tf.one_hot](https://tensorflow.google.cn/api_docs/python/tf/one_hot)
||NMS| TBD |[tf.image.non_max_suppression](https://tensorflow.google.cn/api_docs/python/tf/image/non_max_suppression) ||NMS| TBD |[tf.image.non_max_suppression](https://tensorflow.google.cn/api_docs/python/tf/image/non_max_suppression)
||SCATTER_ND_UPDATE|Planned 21Q4|[tf.compat.v1.scatter_nd_update](https://tensorflow.google.cn/api_docs/python/tf/compat/v1/scatter_nd_update) ||SCATTER_ND_UPDATE|Planned 21Q4|[tf.compat.v1.scatter_nd_update](https://tensorflow.google.cn/api_docs/python/tf/compat/v1/scatter_nd_update)
||LSH_PROJECTION|Deprecated
||CONV_RELU|Deprecated ||CONV_RELU|Deprecated
||CONV_RELU_POOL|Deprecated ||CONV_RELU_POOL|Deprecated
||FCL|Deprecated ||FCL|Deprecated

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@ -0,0 +1,41 @@
/****************************************************************************
*
* Copyright (c) 2022 Vivante Corporation
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*
*****************************************************************************/
#include "tim/vx/ops/embedding_lookup.h"
#include "builtin_op_impl.h"
#include "vsi_nn_pub.h"
namespace tim {
namespace vx {
namespace ops {
EmbeddingLookup::EmbeddingLookup(Graph* graph) : BuiltinOp(graph, VSI_NN_OP_EMBEDDING_LOOKUP,2,1) {}
std::shared_ptr<Operation> EmbeddingLookup::Clone(std::shared_ptr<Graph>& graph) const {
return graph->CreateOperation<EmbeddingLookup>();
}
} // namespace ops
} // namespace vx
} // namespace tim

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@ -0,0 +1,66 @@
/****************************************************************************
*
* Copyright (c) 2022 Vivante Corporation
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*
*****************************************************************************/
#include "tim/vx/context.h"
#include "tim/vx/graph.h"
#include "tim/vx/ops/embedding_lookup.h"
#include "gtest/gtest.h"
TEST(EmbeddingLookup, shape_2_5_int32) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType idx_shape({3});
tim::vx::ShapeType lut_shape({2, 5});
tim::vx::ShapeType out_shape({2, 3});
tim::vx::TensorSpec idx_spec(tim::vx::DataType::INT32, idx_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec lut_spec(tim::vx::DataType::INT32, lut_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec out_spec(tim::vx::DataType::INT32, out_shape,
tim::vx::TensorAttribute::OUTPUT);
auto idx_tensor = graph->CreateTensor(idx_spec);
auto lut_tensor = graph->CreateTensor(lut_spec);
auto out_tensor = graph->CreateTensor(out_spec);
std::vector<int32_t> idx_data = {0,3,4};
std::vector<int32_t> lut_data = {
1,2,3,4,5,6,7,8,9,10};
std::vector<int32_t> golden = {
1,2,7,8,9,10};
EXPECT_TRUE(idx_tensor->CopyDataToTensor(idx_data.data(),
idx_data.size() * sizeof(int32_t)));
EXPECT_TRUE(lut_tensor->CopyDataToTensor(lut_data.data(),
lut_data.size() * sizeof(int32_t)));
auto op = graph->CreateOperation<tim::vx::ops::EmbeddingLookup>();
(*op).BindInputs({idx_tensor,lut_tensor}).BindOutput(out_tensor);
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<int32_t> output(golden.size());
EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}