tvm
sampling.h
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19 
24 #ifndef TVM_RELAX_ATTRS_SAMPLING_H_
25 #define TVM_RELAX_ATTRS_SAMPLING_H_
26 
27 #include <tvm/relax/expr.h>
28 
29 namespace tvm {
30 namespace relax {
31 
33 struct MultinomialFromUniformAttrs : public tvm::AttrsNode<MultinomialFromUniformAttrs> {
35 
36  TVM_DECLARE_ATTRS(MultinomialFromUniformAttrs, "relax.attrs.MultinomialFromUniformAttrs") {
38  .set_default(DataType::Int(64))
39  .describe("Data type of the output indices.");
40  }
41 }; // struct MultinomialFromUniformAttrs
42 
43 } // namespace relax
44 } // namespace tvm
45 
46 #endif // TVM_RELAX_ATTRS_SAMPLING_H_
The base class of the all the Use "curiously recurring template pattern".
Definition: attrs.h:870
Runtime primitive data type.
Definition: data_type.h:43
static DataType Int(int bits, int lanes=1)
Construct an int type.
Definition: data_type.h:219
#define TVM_ATTR_FIELD(FieldName)
Declare an attribute field.
Definition: attrs.h:76
runtime implementation for LibTorch/TorchScript.
Definition: analyzer.h:36
Attributes used in multinomial_from_uniform operator.
Definition: sampling.h:33
TVM_DECLARE_ATTRS(MultinomialFromUniformAttrs, "relax.attrs.MultinomialFromUniformAttrs")
Definition: sampling.h:36
DataType dtype
Definition: sampling.h:34