24#ifndef TVM_TOPI_NN_DILATE_H_
25#define TVM_TOPI_NN_DILATE_H_
51 for (
size_t i = 1;
i < args.size(); ++
i) {
71 std::string name =
"tensor", std::string tag =
kInjective) {
72 auto n =
x->shape.size();
74 <<
"strides size (" << strides.size() <<
") must match dimension of x (" <<
n <<
")";
78 for (
size_t i = 0;
i <
n; ++
i) {
84 [&](
const ffi::Array<PrimVar>& indices) {
87 for (
size_t i = 0;
i <
n; ++
i) {
88 if (IsConstInt(strides[
i]) && GetConstInt(strides[
i]) == 1) {
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));
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.