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{
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0.8263141930741622,
0.21072064610591013,
0.6569713718921535,
0.25842808185295607,
0.4802338559966235,
0.9704218808133291,
0.29682848294345554,
0.7524365722467021,
0.02963621027656349,
0.09028015289625446,
0.7781876138140071
],
"type": "float32"
},
"filter": {
"shape": [2, 2, 1, 2],
"data": [
0.6385681781775847,
0.07764163946007407,
0.12916297537217947,
0.45633891510482494,
0.40438535170611933,
0.594362681497403,
0.1424126456708108,
0.9036699957427188
],
"type": "float32",
"constant": true
}
},
"options": {
"padding": [1, 0, 0, 1],
"strides": [1, 1],
"dilations": [1, 1],
"groups": 2,
"inputLayout": "nchw",
"filterLayout": "hwio",
"bias": {
"shape": [2],
"data": [
0.5423753606058896,
0.8406119024104419
],
"type": "float32"
},
"activation": "relu" // relu operator
},
"expected": {
"name": "output",
"shape": [1, 2, 5, 5],
"data": [
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1.378482699394226
],
"type": "float32"
}
},
{
"name": "conv2d float32 4D input and filter tensors, both negative input tensor and options.bias",
"inputs": {
"input": {
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"data": [
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],
"type": "float32"
},
"filter": {
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"data": [
0.6385681781775847,
0.07764163946007407,
0.12916297537217947,
0.45633891510482494,
0.40438535170611933,
0.594362681497403,
0.1424126456708108,
0.9036699957427188
],
"type": "float32",
"constant": true
}
},
"options": {
"padding": [1, 0, 0, 1],
"groups": 2,
"filterLayout": "hwio",
"bias": {
"shape": [2],
"data": [
-0.37496936418502824,
-0.4363507146568044
],
"type": "float32"
}
},
"expected": {
"name": "output",
"shape": [1, 2, 5, 5],
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}
]
}