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Example of generating triton-inference-server clients for some programming languages

Home Page: https://www.tuxedocat.dev/blog/dev/triton-inference-server-from-typescript

License: MIT License

JavaScript 0.10% TypeScript 58.76% Shell 0.75% Python 37.30% Dockerfile 3.09%

grpc-node triton-inference-server typescript

triton-client-polyglot-example's Introduction

@tuxedocat

WFH from Kyoto with 🐈‍⬛🐈
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- Software architecture and design for machine learning systems
- Evaluation and metrics for NLP/CV

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triton-client-polyglot-example's Issues

Invalid image array input for `InferInputTensor`

Image input is invalid because multi-dimensional array is not allowed as in InferTensorContents:

triton-client-polyglot-example/client/typescript/src/generated/inference/InferTensorContents.ts

Lines 5 to 14 in c0cb5e2

 export interface InferTensorContents { 

 bool_contents?: boolean[] 

 int_contents?: number[] 

 int64_contents?: (number | string | Long)[] 

 uint_contents?: number[] 

 uint64_contents?: (number | string | Long)[] 

 fp32_contents?: (number | string)[] 

 fp64_contents?: (number | string)[] 

 bytes_contents?: (Buffer | Uint8Array | string)[] 

 }

This should be row-major 1D array.

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	export interface InferTensorContents {
	bool_contents?: boolean[]
	int_contents?: number[]
	int64_contents?: (number \| string \| Long)[]
	uint_contents?: number[]
	uint64_contents?: (number \| string \| Long)[]
	fp32_contents?: (number \| string)[]
	fp64_contents?: (number \| string)[]
	bytes_contents?: (Buffer \| Uint8Array \| string)[]
	}