tvm
Loading...
Searching...
No Matches
dilate.h
Go to the documentation of this file.
1/*
2 * Licensed to the Apache Software Foundation (ASF) under one
3 * or more contributor license agreements. See the NOTICE file
4 * distributed with this work for additional information
5 * regarding copyright ownership. The ASF licenses this file
6 * to you under the Apache License, Version 2.0 (the
7 * "License"); you may not use this file except in compliance
8 * with the License. You may obtain a copy of the License at
9 *
10 * http://www.apache.org/licenses/LICENSE-2.0
11 *
12 * Unless required by applicable law or agreed to in writing,
13 * software distributed under the License is distributed on an
14 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
15 * KIND, either express or implied. See the License for the
16 * specific language governing permissions and limitations
17 * under the License.
18 */
19
24#ifndef TVM_TOPI_NN_DILATE_H_
25#define TVM_TOPI_NN_DILATE_H_
26
27#include <tvm/sym/analyzer.h>
28#include <tvm/te/operation.h>
29#include <tvm/topi/tags.h>
30
31#include <string>
32
33namespace tvm {
34namespace topi {
35namespace nn {
36
37using namespace tvm::te;
38
47PrimExpr all(ffi::Array<PrimExpr> args) {
48 TVM_FFI_ICHECK_GT(args.size(), 0) << "all requires at least one argument";
49
50 PrimExpr ret = args[0];
51 for (size_t i = 1; i < args.size(); ++i) {
52 ret = ret && args[i];
53 }
54 return ret;
55}
56
70inline Tensor dilate(const Tensor& x, ffi::Array<PrimExpr> strides, double dilation_value,
71 std::string name = "tensor", std::string tag = kInjective) {
72 using namespace tvm::prim;
73 auto n = x->shape.size();
74 TVM_FFI_ICHECK_EQ(n, strides.size())
75 << "strides size (" << strides.size() << ") must match dimension of x (" << n << ")";
76
77 ffi::Array<PrimExpr> out_shape;
78 sym::Analyzer analyzer;
79 for (size_t i = 0; i < n; ++i) {
80 out_shape.push_back(analyzer->Simplify((x->shape[i] - 1) * (strides[i] + 1)));
81 }
82
83 return tvm::te::compute(
84 out_shape,
85 [&](const ffi::Array<PrimVar>& indices) {
86 ffi::Array<PrimExpr> not_zero;
87 ffi::Array<PrimExpr> index_tuple;
88 for (size_t i = 0; i < n; ++i) {
89 if (IsConstInt(strides[i]) && strides[i].as_or_throw<IntImm>()->value == 1) {
90 index_tuple.push_back(indices[i]);
91 } else {
92 index_tuple.push_back(indexdiv(indices[i], strides[i]));
93 not_zero.push_back((indexmod(indices[i], strides[i])) == 0);
94 }
95 }
96 if (not_zero.size() > 0) {
97 auto all_not_zero = all(not_zero);
98 return tvm::if_then_else(all_not_zero, x(index_tuple),
99 MakeConst(PrimType(x->dtype), dilation_value));
100 }
101 return x(index_tuple);
102 },
103 name, tag);
104}
105
106} // namespace nn
107} // namespace topi
108} // namespace tvm
109#endif // TVM_TOPI_NN_DILATE_H_
Algebra expression simplifications.
Typed reference/view over any Expr whose ExprNode::ty is PrimType.
Definition base_expr.h:447
Managed reference to AnalyzerObj.
Definition analyzer.h:916
Tensor structure representing a possible input, or intermediate computation result.
Definition tensor.h:111
Definition expr.h:47
Tensor expression language DSL.
Definition extracted_task.h:33
Tensor compute(ffi::Array< PrimExpr > shape, FCompute fcompute, std::string name="tensor", std::string tag="", ffi::Map< ffi::String, ffi::Any > attrs={})
Construct a new tensor by computing over shape, using the computation rule: result_tensor[axis] = fco...
Tensor dilate(const Tensor &x, ffi::Array< PrimExpr > strides, double dilation_value, std::string name="tensor", std::string tag=kInjective)
Dilate data with given dilation value (0 by default).
Definition dilate.h:70
PrimExpr all(ffi::Array< PrimExpr > args)
Create a new expression of the logical and of all conditions in the arguments.
Definition dilate.h:47
constexpr auto kInjective
Definition tags.h:33
An object that builds and maintains block scope and StmtSref mapping for Dependence analysis.
Definition attr.h:23
TVM_TIRX_DLL PrimExpr indexdiv(PrimExpr a, PrimExpr b, Location loc=UnknownLoc())
compute floor(a / b) where a and b are non-negative.
TVM_TIRX_DLL PrimExpr indexmod(PrimExpr a, PrimExpr b, Location loc=UnknownLoc())
compute the remainder floor(a / b) where a and b are non-negative.
Operation node can generate one or multiple Tensors.
Tag definitions.