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Method makeTVMArray

web/src/runtime.ts:1656–1673  ·  view source on GitHub ↗

* Create an tuple TVMArray input array. * * The input array can be passed to tvm runtime function * and needs to b explicitly disposed. * * @param inputs The input array * @returns The result array.

(
    inputs: Array<any>
  )

Source from the content-addressed store, hash-verified

1654 * @returns The result array.
1655 */
1656 makeTVMArray(
1657 inputs: Array<any>
1658 ): TVMArray {
1659 const CALL_STACK_LIMIT = 30000;
1660 const inputsLength = inputs.length;
1661 if (inputsLength <= CALL_STACK_LIMIT) {
1662 return this.ctx.arrayMake(...inputs) as TVMArray;
1663 }
1664 // If too many elements, TypeScript would complain `Maximum call stack size exceeded`
1665 // So we make several arrays and concatenate them
1666 const listOfArrays: Array<TVMArray> = [];
1667 for (let begin = 0; begin < inputsLength; begin += CALL_STACK_LIMIT) {
1668 const end = Math.min(inputsLength, begin + CALL_STACK_LIMIT);
1669 const chunk: Array<any> = inputs.slice(begin, end);
1670 listOfArrays.push(this.ctx.arrayMake(...chunk) as TVMArray);
1671 }
1672 return this.ctx.arrayConcat(...listOfArrays) as TVMArray;
1673 }
1674
1675 /**
1676 * Join a sequence of Tensors that represent embeddings.

Callers 2

setPackedArgumentsMethod · 0.95
test_object.jsFile · 0.80

Calls 2

minMethod · 0.80
sliceMethod · 0.45

Tested by

no test coverage detected