wehub-resource-sync
85 lines
2.4 KiB
C++
85 lines
2.4 KiB
C++
/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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/*!
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* \brief Softmax op constructions
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* \file nn/flatten.h
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*/
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#ifndef TVM_TOPI_NN_FLATTEN_H_
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#define TVM_TOPI_NN_FLATTEN_H_
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#include <tvm/te/operation.h>
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#include <tvm/topi/detail/constant_utils.h>
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#include <tvm/topi/tags.h>
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#include <string>
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#include <vector>
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namespace tvm {
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namespace topi {
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namespace nn {
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using namespace tvm::te;
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/*!
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* \brief Flattens the input tensor into a 2-D tensor by collapsing higher dimensions.
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* This requires the input tensor to have constant sized dimensions.
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*
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* \param x The input tensor.
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* \param name The name of the operation
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* \param tag The tag to mark the operation
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*
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* \return A 2-D tensor.
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*/
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inline Tensor flatten(const Tensor& x, std::string name = "tensor", std::string tag = kInjective) {
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auto ishape = x->shape;
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PrimExpr dim = 1;
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for (size_t i = 1; i < ishape.size(); ++i) {
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dim = dim * ishape[i];
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}
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ffi::Array<PrimExpr> oshape({ishape[0], dim});
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std::vector<PrimExpr> extra_shape;
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for (size_t i = 1; i < ishape.size(); ++i) {
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extra_shape.push_back(ishape[i]);
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}
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std::reverse(extra_shape.begin(), extra_shape.end());
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return tvm::te::compute(
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oshape,
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[&](PrimVar i, PrimVar j) {
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PrimExpr idx = j;
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std::vector<PrimExpr> index;
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for (auto s : extra_shape) {
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index.push_back(indexmod(idx, s));
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idx = indexdiv(idx, s);
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}
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index.push_back(i);
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std::reverse(index.begin(), index.end());
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return x(index);
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},
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name, tag);
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}
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} // namespace nn
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} // namespace topi
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} // namespace tvm
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#endif // TVM_TOPI_NN_FLATTEN_H_
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