Use theapply()Method to Pass an Array to a Function in JavaScript varnames=['Mehvish','John','Henry','Thomas'];displayName.apply(this,names);functiondisplayName(){for(vari=0;i<names.length;i++){console.log(names[i]);}} Output: ...
如果不使用任何优化Pass,我们看下这个Toy源程序生成的MLIR表达式是什么样子的,使用下面的命令产生MLIR:./toyc-ch3 ../../mlir/test/Examples/Toy/Ch3/transpose_transpose.toy -emit=mlir。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 func @transpose_transpose(%arg0:tensor<*xf64>)->tensor<*xf64>...
该pass用户传进去的是一个FunctionNode,因此首先进去FunctionNode的处理逻辑: // Post order treevoidVisitExpr_(constFunctionNode* op)final{// Skip the function that should be handled by external codegen.if(op->GetAttr<String>(attr::kCompiler).defined())return;for(autoparam : op->params) {this->...
classPassContextNode:publicObject{public:ErrorReporter err_reporter;int opt_level{2};tvm::Array<tvm::Expr>required_pass;tvm::Array<tvm::Expr>disabled_pass;};classPassContext:publicNodeRef{public:TVM_DLLstaticPassContextCreate();TVM_DLLstaticPassContextCurrent();/* Other fields are omitted. */priva...
Pass CreateFunctionPass( const runtime::TypedPackedFunc<Function(Function,IRModule,PassContext)>& pass_func, int opt_level, String name, Array required);Pass CreatePrimFuncPass( const runtime::TypedPackedFunc<PrimFunc(PrimFunc,IRModule,PassContext)>& pass_func, ...
void ** voidPtrPtr lib.pointer object struct (C-style structure) structure MATLAB struct addStructFields mxArray * MATLAB array MATLAB array mxArray ** MATLAB arrayPtr lib.pointer object How MATLAB Displays Function Signatures Here are things to note about the input and output arguments shown...
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/*C program to pass function 1 as an argumentto a function 2*/#include<stdio.h>// function 1intfun_1(inta,intb){return(a+b);}// function 2intfun_2(inttemp){printf("\nThe value of temp is :%d",temp);}// main functionintmain(){// define some variablesinti=5,j=6;// call...
Array<String>required; }; 1. 2. 3. 4. 5. PassContext PassContext 带有用于优化pass的有用信息。 例如,它包含错误报告系统,因此pass的作者可以提供有关优化失败原因的注释。 PassContext 还旨在替换旧的BuildConfig,它用于帮助用户配置编译选项,包括优...
(2, 2))func = relay.Function(relay.analysis.free_vars(act), act)print(func)np_data = np.random.uniform(-1, 1, (1, 3, 224, 224))params = {"graph_conv_weight": tvm.nd.array(np.random.uniform(-1, 1, (32, 3, 3, 3)).astype(dtype)),"graph_bn_gamma": tvm.nd.array(np....