strided_slice.h

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 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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,
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 * KIND, either express or implied.  See the License for the
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#ifndef TVM_TOPI_DETAIL_STRIDED_SLICE_H_
#define TVM_TOPI_DETAIL_STRIDED_SLICE_H_
 
#include <tvm/ir/prim/expr.h>
 
#include <algorithm>
#include <limits>
#include <string>
#include <tuple>
#include <vector>
 
#include "constant_utils.h"
 
namespace tvm {
namespace topi {
namespace detail {
 
using namespace tvm::te;
 
inline int64_t CanonicalizeIndex(int64_t index, int64_t extent, int64_t stride) {
  int64_t begin_range = stride < 0 ? -1 : 0;
  int64_t end_range = stride < 0 ? extent - 1 : extent;
  if (index < 0) {
    index += extent;
  }
  return std::min(std::max(index, begin_range), end_range);
}
 
inline std::tuple<std::vector<int64_t>, std::vector<int64_t>, std::vector<int64_t>> ConvertToVec(
    const ffi::Array<ffi::Optional<IntImm>>& begin, const ffi::Array<ffi::Optional<IntImm>>& end,
    const ffi::Array<IntImm>& strides, std::string slice_mode) {
  std::vector<int64_t> stride_vec(strides.size(), 1);
  if (slice_mode == "end") {
    for (size_t i = 0; i < strides.size(); ++i) {
      stride_vec[i] = static_cast<int64_t>(strides[i]->value);
    }
  }
  const int64_t max_range = std::numeric_limits<int64_t>::max();
  std::vector<int64_t> begin_vec;
  for (size_t i = 0; i < begin.size(); ++i) {
    if (!begin[i].has_value()) {
      // value=None
      begin_vec.push_back(stride_vec[i] > 0 ? 0 : max_range);
    } else {
      begin_vec.push_back(static_cast<int64_t>(begin[i].value()->value));
    }
  }
  std::vector<int64_t> end_vec;
  for (size_t i = 0; i < end.size(); ++i) {
    // allow end to be None
    if (!end[i].has_value()) {
      end_vec.push_back(stride_vec[i] < 0 ? 0 : max_range);
    } else if (slice_mode == "size") {
      int64_t end_val = static_cast<int64_t>(end[i].value()->value);
      if (end_val < 0) {
        end_vec.push_back(stride_vec[i] < 0 ? 0 : max_range);
      } else {
        end_vec.push_back(begin_vec[i] + end_val);
      }
    } else {
      end_vec.push_back(static_cast<int64_t>(end[i].value()->value));
    }
  }
  return std::make_tuple(begin_vec, end_vec, stride_vec);
}
 
inline ffi::Array<PrimExpr> StridedSliceCanonicalizeBegin(const ffi::Array<PrimExpr>& ishape,
                                                          const std::vector<int64_t>& begin,
                                                          const std::vector<int64_t>& strides,
                                                          const ffi::Array<int64_t>& axes,
                                                          PrimType dtype,
                                                          std::string slice_mode = "end") {
  using namespace tvm::prim;
  ffi::Array<PrimExpr> begin_expr;
  for (size_t i = 0; i < axes.size(); ++i) {
    int64_t ax = axes[i];
    if (ishape[ax]->IsInstance<tvm::IntImmNode>()) {
      int64_t dim_i = GetConstInt(ishape[ax]);
      int64_t begin_i = CanonicalizeIndex(begin[i], dim_i, strides[i]);
      begin_expr.push_back(MakeConst(dtype, begin_i));
    } else {
      auto idim = ishape[ax];
      auto b_expr = MakeConst(dtype, begin[i]);
      PrimExpr b = begin[i] < 0 ? b_expr + idim : b_expr;
      auto s = strides[i];
      if (s < 0) {
        b = tvm::min(b, idim - 1);
      } else {
        b = tvm::if_then_else(b < 0, 0, b);
      }
      begin_expr.push_back(b);
    }
  }
  return begin_expr;
}
 
inline ffi::Array<PrimExpr> StridedSliceOutputShape(
    const ffi::Array<PrimExpr>& ishape, const std::vector<int64_t>& begin,
    const std::vector<int64_t>& end, const std::vector<int64_t>& strides,
    const ffi::Array<int64_t>& axes, std::string slice_mode,
    const ffi::Array<PrimExpr>& begin_canonicalized, bool use_any = false) {
  TVM_FFI_ICHECK(!use_any) << "StridedSliceOutputShape does not legacy use_any";
  const size_t src_tensor_dim = ishape.size();
  ffi::Array<PrimExpr> out_shape;
  for (size_t i = 0; i < src_tensor_dim; ++i) {
    out_shape.push_back(ishape[i]);
  }
 
  for (size_t i = 0; i < axes.size(); ++i) {
    int64_t ax = axes[i];
    if (ishape[ax]->IsInstance<tvm::IntImmNode>()) {
      const int64_t dim_i = GetConstInt(ishape[ax]);
      TVM_FFI_ICHECK(begin_canonicalized[i]->IsInstance<tvm::IntImmNode>());
      int64_t begin_i = GetConstInt(begin_canonicalized[i]);
      int64_t end_i = CanonicalizeIndex(end[i], dim_i, strides[i]);
      int interval = std::abs(end_i - begin_i);
      int slice_size =
          static_cast<int>((interval + std::abs(strides[i]) - 1) / std::abs(strides[i]));
      TVM_FFI_ICHECK(strides[i] < 0 ? (end_i <= begin_i) : (begin_i <= end_i))
          << ": Input [Begin=" << begin[i] << ", End=" << end[i] << "] is invalid for axis=" << i;
      out_shape.Set(ax, prim::cast(out_shape[i].ty(), PrimExpr(slice_size)));
    } else {
      out_shape.Set(ax, tvm::PrimVar("dim", out_shape[i].ty()));
    }
  }
 
  return out_shape;
}
 
}  // namespace detail
}  // namespace topi
}  // namespace tvm
#endif  // TVM_TOPI_DETAIL_STRIDED_SLICE_H_