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dilate.h
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1/*
2 * Licensed to the Apache Software Foundation (ASF) under one
3 * or more contributor license agreements. See the NOTICE file
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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
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9 *
10 * http://www.apache.org/licenses/LICENSE-2.0
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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/arith/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 auto n = x->shape.size();
73 TVM_FFI_ICHECK_EQ(n, strides.size())
74 << "strides size (" << strides.size() << ") must match dimension of x (" << n << ")";
75
76 ffi::Array<PrimExpr> out_shape;
78 for (size_t i = 0; i < n; ++i) {
79 out_shape.push_back(analyzer->Simplify((x->shape[i] - 1) * (strides[i] + 1)));
80 }
81
82 return tvm::te::compute(
84 [&](const ffi::Array<PrimVar>& indices) {
85 ffi::Array<PrimExpr> not_zero;
86 ffi::Array<PrimExpr> index_tuple;
87 for (size_t i = 0; i < n; ++i) {
88 if (IsConstInt(strides[i]) && GetConstInt(strides[i]) == 1) {
89 index_tuple.push_back(indices[i]);
90 } else {
91 index_tuple.push_back(indexdiv(indices[i], strides[i]));
92 not_zero.push_back((indexmod(indices[i], strides[i])) == 0);
93 }
94 }
95 if (not_zero.size() > 0) {
96 auto all_not_zero = all(not_zero);
97 return tvm::if_then_else(all_not_zero, x(index_tuple),
98 MakeConst(PrimType(x->dtype), dilation_value));
99 }
100 return x(index_tuple);
101 },
102 name, tag);
103}
104
105} // namespace nn
106} // namespace topi
107} // namespace tvm
108#endif // TVM_TOPI_NN_DILATE_H_
Algebra expression simplifications.
Typed reference/view over any Expr whose ExprNode::ty is PrimType.
Definition base_expr.h:401
RAII wrapper function to enter and exit a context object similar to python's with syntax.
Definition with_context.h:59
Managed reference to AnalyzerObj.
Definition analyzer.h:931
Tensor structure representing a possible input, or intermediate computation result.
Definition tensor.h:98
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 analyzer.h:40
PrimExpr indexdiv(PrimExpr a, PrimExpr b, Span span=Span())
compute floor(a / b) where a and b are non-negative.
PrimExpr indexmod(PrimExpr a, PrimExpr b, Span span=Span())
compute the remainder floor(a / b) where a and b are non-negative.
Operation node can generate one or multiple Tensors.
Tag definitions.