Edge AI Manager JSON Tensor Format

This page describes the structure of input and output JSON messages
Input examples
The available inputType : json, raw, and pb.
The available inputFormat and outputFormat : namedObject, and orderedArray.
Single JSON input tensor:
{
	"input": [0.000593897, 0.000020396, 0.036555252, 0.009653889, 0.000281286, 0.952525370, 0.000369997],
	"inputType": "json"
}
Two JSON input tensors in the default orderedArray format. Tensor arrays need to be in the order the tensors are defined in the ONNX graph.
{
	"input": [
		[0.000123895, 0.000025326],
		[0.036555252, 0.009653889, 0.000281286]
	],
	"inputType": "json"
}
The same as the previous example, now with the orderedArray format defined explicitly:
{
	"input": [
		[0.000123895, 0.000025326],
		[0.036555252, 0.009653889, 0.000281286]
	],
	"inputType": "json",
	"format": "orderedArray",
    "outputFormat": "orderedArray"
}
Two JSON input tensors in the namedObject format: An object with named fields representing the input names as defined in the original ONNX. The order of the input named fields does not matter for the namedObject format type.
{
	"input": {
		"input-tensor-one-name": [0.000123895, 0.000025326],
		"input-tensor-two-name": [0.036555252, 0.009653889, 0.000281286]
	},
	"inputType": "json",
	"inputFormat": "namedObject",
    "outputFormat": "namedObject"
}
Single Base64 encoded byte array input tensor:
{"input": "MjQzNDQ0NTY0NTM0MzI=", "inputType": "raw"}
Three Base64 encoded byte array input tensors:
{"input": ["MjQzNDQ0NTY0NTM0MzI=","MTExMjMzMjE=","OTIzMzQ1NDM0MzU="], "inputType": "raw"}
Three Base64 encoded byte array input tensors, now in the namedObject format:
{
	"input": {
        "input3": "OTIzMzQ1NDM0MzU",
		"input1": "MjQzNDQ0NTY0NTM0MzI=",
		"input2": "MTExMjMzMjE="
	},
	"inputType": "raw",
	"inputFormat": "namedObject",
    "outputFormat": "orderedArray"    
}
Two Base64 encoded ProtoBuf input tensors:
{"input": ["c2Rmc2Zkc2Zkc2FmZHNhZndyM3FmYWZld2Zm","mZHNhZndyM3FmYWZld2ZmM0MjM0MmFmd2FlMzQ="], "inputType": "pb"}
Output examples
outputType : json, and raw,
outputFormat : namedObject, and orderedArray.
outputDims represents each if the output tensors dimensions.
outputDataTypes values represents the data type of each tensor according to the following overview:
    1 =  FLOAT32 (FLOAT) 
    2 =  UINT8 
    3 =  INT8   
    4 =  UINT16   
    5 =  INT16    
    6 =  INT32   
    7 =  INT64    
    9 =  BOOL
    11 = FLOAT64 (DOUBLE)
    12 = UINT32
    13 = UINT64
Single JSON output tensor
{
	"outputDims": [
		[
			[7]
		]
	],
	"outputDataTypes": [
		1
	],
	"outputType": "json",
	"outputFormat": "orderedArray",
	"output": [0.000593897, 0.000020396, 0.036555252, 0.009653889, 0.000281286, 0.952525370, 0.000369997]
}
Two JSON output tensors
{
	"outputDims": [
		[
			[2],
			[3]
		]
	],
	"outputDataTypes": [
		1, 1
	],
	"outputType": "json",
	"outputFormat": "orderedArray",
	"output": [
		[0.000123895, 0.000025326],
		[0.036555252, 0.009653889, 0.000281286]
	]
}
Single Base64 encoded byte array output tensor
{
	"outputDims": [
		[
			[7]
		],
	],
	"outputDataTypes": [
		1
	],
	"outputType": "raw",
	"outputFormat": "orderedArray",    
	"output": "MjQzNDQ0NTY0NTM0MzI="
}
Three Base64 encoded byte array output tensors
{
    "outputDims": [
		[2],
		[3],
		[2]
	],
	"outputDataTypes": [1, 1, 7],
	"outputType": "raw",
	"outputFormat": "orderedArray",
    "output": ["MjQzNDQ0NTY0NTM0MzI=", "MTExMjMzMjE=", "OTIzMzQ1NDM0MzU="]
}
Three Base64 encoded byte array input tensors, now in the namedObjectformat:
{
	"outputDims": [
		[2],
		[3],
		[2]
	],
	"outputDataTypes": [1, 1, 7],
	"outputType": "raw",
	"outputFormat": "namedObject",
	"output": {
		"output1": "MjQzNDQ0NTY0NTM0MzI",
		"output2": "MTExMjMzMjE=",
		"output3": "OTIzMzQ1NDM0MzU="
	}
}
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Last modified 11d ago