forked from owulveryck/onnx-go
/
onnx_test_gather_0.go
57 lines (45 loc) · 4.12 KB
/
onnx_test_gather_0.go
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package onnxtest
// this file is auto-generated... DO NOT EDIT
import (
"github.com/owulveryck/onnx-go/backend/testbackend"
"gorgonia.org/tensor"
)
func init() {
testbackend.Register("Gather", "TestGather0", NewTestGather0)
}
// NewTestGather0 version: 3.
func NewTestGather0() *testbackend.TestCase {
return &testbackend.TestCase{
OpType: "Gather",
Title: "TestGather0",
ModelB: []byte{0x8, 0x3, 0x12, 0xc, 0x62, 0x61, 0x63, 0x6b, 0x65, 0x6e, 0x64, 0x2d, 0x74, 0x65, 0x73, 0x74, 0x3a, 0x8c, 0x1, 0xa, 0x27, 0xa, 0x4, 0x64, 0x61, 0x74, 0x61, 0xa, 0x7, 0x69, 0x6e, 0x64, 0x69, 0x63, 0x65, 0x73, 0x12, 0x1, 0x79, 0x22, 0x6, 0x47, 0x61, 0x74, 0x68, 0x65, 0x72, 0x2a, 0xb, 0xa, 0x4, 0x61, 0x78, 0x69, 0x73, 0x18, 0x0, 0xa0, 0x1, 0x2, 0x12, 0xd, 0x74, 0x65, 0x73, 0x74, 0x5f, 0x67, 0x61, 0x74, 0x68, 0x65, 0x72, 0x5f, 0x30, 0x5a, 0x1e, 0xa, 0x4, 0x64, 0x61, 0x74, 0x61, 0x12, 0x16, 0xa, 0x14, 0x8, 0x1, 0x12, 0x10, 0xa, 0x2, 0x8, 0x5, 0xa, 0x2, 0x8, 0x4, 0xa, 0x2, 0x8, 0x3, 0xa, 0x2, 0x8, 0x2, 0x5a, 0x15, 0xa, 0x7, 0x69, 0x6e, 0x64, 0x69, 0x63, 0x65, 0x73, 0x12, 0xa, 0xa, 0x8, 0x8, 0x7, 0x12, 0x4, 0xa, 0x2, 0x8, 0x3, 0x62, 0x1b, 0xa, 0x1, 0x79, 0x12, 0x16, 0xa, 0x14, 0x8, 0x1, 0x12, 0x10, 0xa, 0x2, 0x8, 0x3, 0xa, 0x2, 0x8, 0x4, 0xa, 0x2, 0x8, 0x3, 0xa, 0x2, 0x8, 0x2, 0x42, 0x2, 0x10, 0x9},
/*
&ir.NodeProto{
Input: []string{"data", "indices"},
Output: []string{"y"},
Name: "",
OpType: "Gather",
Attributes: ([]*ir.AttributeProto) (len=1 cap=1) {
(*ir.AttributeProto)(0xc000133c00)(name:"axis" type:INT )
}
,
},
*/
Input: []tensor.Tensor{
tensor.New(
tensor.WithShape(5, 4, 3, 2),
tensor.WithBacking([]float32{1.7640524, 0.4001572, 0.978738, 2.2408931, 1.867558, -0.9772779, 0.95008844, -0.1513572, -0.10321885, 0.41059852, 0.14404356, 1.4542735, 0.7610377, 0.121675014, 0.44386324, 0.33367434, 1.4940791, -0.20515826, 0.3130677, -0.85409576, -2.5529897, 0.6536186, 0.8644362, -0.742165, 2.2697546, -1.4543657, 0.045758516, -0.18718386, 1.5327792, 1.4693588, 0.15494743, 0.37816253, -0.88778573, -1.9807965, -0.34791216, 0.15634897, 1.2302907, 1.2023798, -0.3873268, -0.30230275, -1.048553, -1.420018, -1.7062702, 1.9507754, -0.5096522, -0.4380743, -1.2527953, 0.7774904, -1.6138978, -0.21274029, -0.89546657, 0.3869025, -0.51080513, -1.1806322, -0.028182229, 0.42833188, 0.06651722, 0.3024719, -0.6343221, -0.36274117, -0.67246044, -0.35955316, -0.8131463, -1.7262826, 0.17742614, -0.40178093, -1.6301984, 0.46278226, -0.9072984, 0.051945396, 0.7290906, 0.12898292, 1.1394007, -1.2348258, 0.40234163, -0.6848101, -0.87079716, -0.5788497, -0.31155252, 0.05616534, -1.1651498, 0.9008265, 0.46566245, -1.5362437, 1.4882522, 1.8958892, 1.1787796, -0.17992483, -1.0707526, 1.0544517, -0.40317693, 1.222445, 0.20827498, 0.97663903, 0.3563664, 0.7065732, 0.01050002, 1.7858706, 0.12691209, 0.40198937, 1.8831507, -1.347759, -1.270485, 0.9693967, -1.1731234, 1.9436212, -0.41361898, -0.7474548, 1.922942, 1.4805148, 1.867559, 0.90604466, -0.86122566, 1.9100649, -0.26800337, 0.8024564, 0.947252, -0.15501009, 0.61407936, 0.9222067}),
),
tensor.New(
tensor.WithShape(3),
tensor.WithBacking([]int64{0, 1, 3}),
),
},
ExpectedOutput: []tensor.Tensor{
tensor.New(
tensor.WithShape(3, 4, 3, 2),
tensor.WithBacking([]float32{1.7640524, 0.4001572, 0.978738, 2.2408931, 1.867558, -0.9772779, 0.95008844, -0.1513572, -0.10321885, 0.41059852, 0.14404356, 1.4542735, 0.7610377, 0.121675014, 0.44386324, 0.33367434, 1.4940791, -0.20515826, 0.3130677, -0.85409576, -2.5529897, 0.6536186, 0.8644362, -0.742165, 2.2697546, -1.4543657, 0.045758516, -0.18718386, 1.5327792, 1.4693588, 0.15494743, 0.37816253, -0.88778573, -1.9807965, -0.34791216, 0.15634897, 1.2302907, 1.2023798, -0.3873268, -0.30230275, -1.048553, -1.420018, -1.7062702, 1.9507754, -0.5096522, -0.4380743, -1.2527953, 0.7774904, 1.1394007, -1.2348258, 0.40234163, -0.6848101, -0.87079716, -0.5788497, -0.31155252, 0.05616534, -1.1651498, 0.9008265, 0.46566245, -1.5362437, 1.4882522, 1.8958892, 1.1787796, -0.17992483, -1.0707526, 1.0544517, -0.40317693, 1.222445, 0.20827498, 0.97663903, 0.3563664, 0.7065732}),
),
},
}
}