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transform.h
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transform.h
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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* 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,
* 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.
*/
/*!
* \file tvm/relay/attrs/transform.h
* \brief Transform operators.
*/
#ifndef TVM_RELAY_ATTRS_TRANSFORM_H_
#define TVM_RELAY_ATTRS_TRANSFORM_H_
#include <tvm/ir/attrs.h>
#include <tvm/relay/base.h>
#include <tvm/relay/expr.h>
#include <string>
namespace tvm {
namespace relay {
/*! \brief data type cast */
struct CastAttrs : public tvm::AttrsNode<CastAttrs> {
DataType dtype;
TVM_DECLARE_ATTRS(CastAttrs, "relay.attrs.CastAttrs") {
TVM_ATTR_FIELD(dtype).describe("Target data type");
}
}; // struct CastAttrs.
/*! \brief Attributes used in expand_dims operators */
struct ExpandDimsAttrs : public tvm::AttrsNode<ExpandDimsAttrs> {
int axis;
int num_newaxis;
TVM_DECLARE_ATTRS(ExpandDimsAttrs, "relay.attrs.ExpandDimsAttrs") {
TVM_ATTR_FIELD(axis).describe(
"The axis at which the input array is expanded."
"Should lie in range `[-data.ndim - 1, data.ndim]`."
"If `axis < 0`, it is the first axis inserted;"
"If `axis >= 0`, it is the last axis inserted in Python's negative indexing.");
TVM_ATTR_FIELD(num_newaxis)
.describe("Number of axises to be inserted. Should be >= 0.")
.set_lower_bound(0)
.set_default(1);
}
}; // struct ExpandDimsAttrs
/*! \brief Attributes used in concatenate operators */
struct ConcatenateAttrs : public tvm::AttrsNode<ConcatenateAttrs> {
int axis;
TVM_DECLARE_ATTRS(ConcatenateAttrs, "relay.attrs.ConcatenateAttrs") {
TVM_ATTR_FIELD(axis)
.describe(
"The axis at which the input arrays are concatenated."
"Should lie in range `[-ndim, ndim)`.")
.set_default(0);
}
}; // struct ConcatenateAttrs
/*! \brief Attributes used in transpose operators */
struct TransposeAttrs : public tvm::AttrsNode<TransposeAttrs> {
Array<Integer> axes;
TVM_DECLARE_ATTRS(TransposeAttrs, "relay.attrs.TransposeAttrs") {
TVM_ATTR_FIELD(axes).describe("The target axes order, reverse order if not specified.");
}
}; // struct TransposeAttrs
/*! \brief Attributes used in reshape operators */
struct ReshapeAttrs : public tvm::AttrsNode<ReshapeAttrs> {
Optional<Array<Integer>> newshape;
bool reverse;
TVM_DECLARE_ATTRS(ReshapeAttrs, "relay.attrs.ReshapeAttrs") {
TVM_ATTR_FIELD(newshape).describe(
"The new shape. Should be compatible with the original shape.");
TVM_ATTR_FIELD(reverse)
.describe("Infer the special values from right to left if true")
.set_default(false);
}
}; // struct ReshapeAttrs
struct ScatterAttrs : public tvm::AttrsNode<ScatterAttrs> {
Integer axis;
TVM_DECLARE_ATTRS(ScatterAttrs, "relay.attrs.ScatterAttrs") {
TVM_ATTR_FIELD(axis).set_default(0).describe("The axis over which to select values.");
}
};
struct GatherAttrs : public tvm::AttrsNode<GatherAttrs> {
Integer axis;
TVM_DECLARE_ATTRS(GatherAttrs, "relay.attrs.GatherAttrs") {
TVM_ATTR_FIELD(axis)
.set_default(NullValue<Integer>())
.describe("The axis over which to select values.");
}
};
struct TakeAttrs : public tvm::AttrsNode<TakeAttrs> {
Integer axis;
std::string mode;
TVM_DECLARE_ATTRS(TakeAttrs, "relay.attrs.TakeAttrs") {
TVM_ATTR_FIELD(axis)
.set_default(NullValue<Integer>())
.describe("The axis over which to select values.");
TVM_ATTR_FIELD(mode).set_default("clip").describe(
"Specify how out-of-bound indices will behave."
"clip - clip to the range (default)"
"wrap - wrap around the indices"
"fast - no clip or wrap around (user must make sure indices are in-bound)");
}
};
/*! \brief Attributes that specify a tensor */
struct InitOpAttrs : public tvm::AttrsNode<InitOpAttrs> {
Optional<Array<Integer>> shape;
DataType dtype;
TVM_DECLARE_ATTRS(InitOpAttrs, "relay.attrs.InitOpAttrs") {
TVM_ATTR_FIELD(shape).describe("Target shape.");
TVM_ATTR_FIELD(dtype).describe("Target data type.").set_default(NullValue<DataType>());
}
}; // struct InitOpAttrs
/*! \brief Attributes used in arange operators */
struct ArangeAttrs : public tvm::AttrsNode<ArangeAttrs> {
Expr start;
Expr stop;
Expr step;
DataType dtype;
TVM_DECLARE_ATTRS(ArangeAttrs, "relay.attrs.ArangeAttrs") {
TVM_ATTR_FIELD(start).describe("Start of interval. The interval includes this value.");
TVM_ATTR_FIELD(stop).describe("Stop of interval. The interval does not include this value.");
TVM_ATTR_FIELD(step).describe("Spacing between values.");
TVM_ATTR_FIELD(dtype).describe("Target data type.");
}
}; // struct ArangeAttrs
/*! \brief Attributes used in stack operators */
struct StackAttrs : public tvm::AttrsNode<StackAttrs> {
Integer axis;
TVM_DECLARE_ATTRS(StackAttrs, "relay.attrs.StackAttrs") {
TVM_ATTR_FIELD(axis).set_default(0).describe(
"The axis in the result array along which the input arrays are stacked.");
}
}; // struct StackAttrs
/*! \brief Attributes used in repeat operators */
struct RepeatAttrs : public tvm::AttrsNode<RepeatAttrs> {
Integer repeats;
Integer axis;
TVM_DECLARE_ATTRS(RepeatAttrs, "relay.attrs.RepeatAttrs") {
TVM_ATTR_FIELD(repeats).describe("The number of repetitions for each element.");
TVM_ATTR_FIELD(axis)
.set_default(NullValue<Integer>())
.describe(" The axis along which to repeat values.");
}
}; // struct RepeatAttrs
/*! \brief Attributes used in tile operators */
struct TileAttrs : public tvm::AttrsNode<TileAttrs> {
Array<Integer> reps;
TVM_DECLARE_ATTRS(TileAttrs, "relay.attrs.TileAttrs") {
TVM_ATTR_FIELD(reps).describe(
"The number of times for repeating the tensor a."
"Each dim sizeof reps must be a positive integer.");
}
}; // struct TileAttrs
/*! \brief Attributes used in reverse operators */
struct ReverseAttrs : public tvm::AttrsNode<ReverseAttrs> {
Integer axis;
TVM_DECLARE_ATTRS(ReverseAttrs, "relay.attrs.ReverseAttrs") {
TVM_ATTR_FIELD(axis)
.set_default(NullValue<Integer>())
.describe("The axis along which to reverse elements.");
}
}; // struct ReverseAttrs
/*! \brief Attributes used in reverse_sequence operators */
struct ReverseSequenceAttrs : public tvm::AttrsNode<ReverseSequenceAttrs> {
Integer seq_axis;
Integer batch_axis;
TVM_DECLARE_ATTRS(ReverseSequenceAttrs, "relay.attrs.ReverseSequenceAttrs") {
TVM_ATTR_FIELD(seq_axis).set_default(1).describe(
"The seq axis along which to reverse elements.");
TVM_ATTR_FIELD(batch_axis)
.set_default(0)
.describe("The batch axis along which to slice the tensor.");
}
}; // struct ReverseSequenceAttrs
/*! \brief Attributes used in squeeze operators */
struct SqueezeAttrs : public tvm::AttrsNode<SqueezeAttrs> {
// use axis to make the name numpy compatible.
Array<Integer> axis;
TVM_DECLARE_ATTRS(SqueezeAttrs, "relay.attrs.SqueezeAttrs") {
TVM_ATTR_FIELD(axis)
.describe(
"The axis to squeeze in the input tensor."
"If `axis = None`, all axis of dimension 1 get squeezed;"
"Else, the dimension in axes get squeezed."
"It is an error if an axis does not has dimension 1.")
.set_default(NullValue<Array<Integer>>());
}
}; // struct SqueezeAttrs
struct SplitAttrs : public tvm::AttrsNode<SplitAttrs> {
ObjectRef indices_or_sections;
int axis;
TVM_DECLARE_ATTRS(SplitAttrs, "relay.attrs.SplitAttrs") {
TVM_ATTR_FIELD(indices_or_sections)
.describe(
"Indices or sections to split into. Accepts an int or a tuple"
"If indices_or_sections is an integer, the input will be divided equally"
"along given axis. If such a split is not possible, an error is raised."
"If indices_or_sections is a tuple of sorted integers,"
"the entries indicate where along axis the array is split.");
TVM_ATTR_FIELD(axis).set_default(0).describe("the axis to be splitted.");
}
};
/*! \brief Attributes for StridedSlice operator */
struct StridedSliceAttrs : public tvm::AttrsNode<StridedSliceAttrs> {
Optional<Array<Integer>> begin;
Optional<Array<Integer>> end;
Optional<Array<Integer>> strides;
std::string slice_mode;
TVM_DECLARE_ATTRS(StridedSliceAttrs, "relay.attrs.StridedSliceAttrs") {
TVM_ATTR_FIELD(begin).describe("Indices for begin of slice, begin index is also inclusive");
TVM_ATTR_FIELD(end).describe("Indices for end of slice, end index is exclusive");
TVM_ATTR_FIELD(strides).describe(
"Stride values of the slice, a stride can be negative, which causes a reverse slice.");
TVM_ATTR_FIELD(slice_mode)
.set_default("end")
.describe(
"The slice mode [end, size]."
"end - The default slice mode, ending indices for the slice."
"size - The input strides will be ignored, input end in this mode indicates the size"
"of a slice starting at the location specified by begin. If end[i] is -1,"
"all remaining elements in that dimension are included in the slice");
}
};
struct SliceLikeAttrs : public tvm::AttrsNode<SliceLikeAttrs> {
Array<Integer> axes;
TVM_DECLARE_ATTRS(SliceLikeAttrs, "relay.attrs.SliceLikeAttrs") {
TVM_ATTR_FIELD(axes).describe(
"List of axes on which input data will be sliced according to the "
"corresponding size of the second input. By default will slice "
"on all axes. Negative axes mean counting in reverse.");
}
};
/*! \brief Attributes for Clip operator */
struct ClipAttrs : public tvm::AttrsNode<ClipAttrs> {
double a_min;
double a_max;
TVM_DECLARE_ATTRS(ClipAttrs, "relay.attrs.ClipAttrs") {
TVM_ATTR_FIELD(a_min).describe("The minimum clip value.");
TVM_ATTR_FIELD(a_max).describe("The maximum clip value.");
}
};
/*! \brief Attributes for LayoutTransform operator */
struct LayoutTransformAttrs : public tvm::AttrsNode<LayoutTransformAttrs> {
std::string src_layout;
std::string dst_layout;
TVM_DECLARE_ATTRS(LayoutTransformAttrs, "relay.attrs.LayoutTransformAttrs") {
TVM_ATTR_FIELD(src_layout).describe("The source layout of the tensor. (e.g. NCHW)");
TVM_ATTR_FIELD(dst_layout).describe("The destination layout of the tensor. (e.g. NCHW16c)");
}
};
/*! \brief Attributes for ShapeOf operator */
struct ShapeOfAttrs : public tvm::AttrsNode<ShapeOfAttrs> {
DataType dtype;
TVM_DECLARE_ATTRS(ShapeOfAttrs, "relay.attrs.ShapeOfAttrs") {
TVM_ATTR_FIELD(dtype).describe("Target data type").set_default(NullValue<DataType>());
}
};
struct SequenceMaskAttrs : public tvm::AttrsNode<SequenceMaskAttrs> {
double mask_value;
int axis;
TVM_DECLARE_ATTRS(SequenceMaskAttrs, "relay.attrs.SequenceMaskAttrs") {
TVM_ATTR_FIELD(mask_value).set_default(0).describe("The masking value.");
TVM_ATTR_FIELD(axis).set_default(0).describe(
"The axis of the length dimension. Can only be 0 or 1.");
}
}; // struct SequenceMaskAttrs.
/*! \brief Attributes used in sparse_to_dense operator */
struct SparseToDenseAttrs : public tvm::AttrsNode<SparseToDenseAttrs> {
Array<Integer> output_shape;
TVM_DECLARE_ATTRS(SparseToDenseAttrs, "relay.attrs.SparseToDenseAttrs") {
TVM_ATTR_FIELD(output_shape).describe("Shape of the dense output tensor");
}
}; // struct SparseToDenseAttrs
/*! \brief Attributes for ndarray_size operator */
struct NdarraySizeAttrs : public tvm::AttrsNode<NdarraySizeAttrs> {
DataType dtype;
TVM_DECLARE_ATTRS(NdarraySizeAttrs, "relay.attrs.NdarraySizeAttrs") {
TVM_ATTR_FIELD(dtype).describe("Target data type").set_default(NullValue<DataType>());
}
};
/*! \brief Attributes used in one-hot operator */
struct OneHotAttrs : public tvm::AttrsNode<OneHotAttrs> {
int depth;
int axis;
DataType dtype;
TVM_DECLARE_ATTRS(OneHotAttrs, "relay.attrs.OneHotAttrs") {
TVM_ATTR_FIELD(depth).set_default(1).describe("Depth of the one hot dimension.");
TVM_ATTR_FIELD(axis).set_default(-1).describe("Axis to fill.");
TVM_ATTR_FIELD(dtype).set_default(NullValue<DataType>()).describe("Output data type.");
}
}; // struct OneHotAttrs
} // namespace relay
} // namespace tvm
#endif // TVM_RELAY_ATTRS_TRANSFORM_H_