onnxruntime/js/web/test/data/ops/reshape.jsonc
xhcao 33ecde9af1
[js/webgpu] Fix reshape int32 test case (#17113)
Co-authored-by: Xing Xu <xing.xu@intel.com>

Co-authored-by: Xing Xu <xing.xu@intel.com>
2023-08-15 21:18:13 -07:00

192 lines
3.7 KiB
Text

[
{
"name": "Reshape float32 with '0' and '-1' in the shape tensor input",
"operator": "Reshape",
"attributes": [],
"cases": [
{
"name": "T[0]",
"inputs": [
{
"data": [1, 1, 1, 1],
"dims": [2, 2],
"type": "float32"
},
{
"data": [-1, 0],
"dims": [2],
"type": "int64"
}
],
"outputs": [
{
"data": [1, 1, 1, 1],
"dims": [2, 2],
"type": "float32"
}
]
},
{
"name": "Scalar to 1D",
"inputs": [
{
"data": [1],
"dims": [],
"type": "float32"
},
{
"data": [1],
"dims": [1],
"type": "int64"
}
],
"outputs": [
{
"data": [1],
"dims": [1],
"type": "float32"
}
]
},
{
"name": "Scalar to 2D",
"inputs": [
{
"data": [1],
"dims": [],
"type": "float32"
},
{
"data": [1, 1],
"dims": [2],
"type": "int64"
}
],
"outputs": [
{
"data": [1],
"dims": [1, 1],
"type": "float32"
}
]
},
{
"name": "Scalar to 2D with -1 in shape hints",
"inputs": [
{
"data": [1],
"dims": [],
"type": "float32"
},
{
"data": [-1, 1],
"dims": [2],
"type": "int64"
}
],
"outputs": [
{
"data": [1],
"dims": [1, 1],
"type": "float32"
}
]
}
]
},
{
"name": "Reshape int32 with '0' and '-1' in the shape tensor input",
"operator": "Reshape",
"attributes": [],
"cases": [
{
"name": "T[0]",
"inputs": [
{
"data": [1, 1, 1, 1],
"dims": [2, 2],
"type": "int32"
},
{
"data": [-1, 0],
"dims": [2],
"type": "int64"
}
],
"outputs": [
{
"data": [1, 1, 1, 1],
"dims": [2, 2],
"type": "int32"
}
]
},
{
"name": "Scalar to 1D",
"inputs": [
{
"data": [1],
"dims": [],
"type": "int32"
},
{
"data": [1],
"dims": [1],
"type": "int64"
}
],
"outputs": [
{
"data": [1],
"dims": [1],
"type": "int32"
}
]
},
{
"name": "Scalar to 2D",
"inputs": [
{
"data": [1],
"dims": [],
"type": "int32"
},
{
"data": [1, 1],
"dims": [2],
"type": "int64"
}
],
"outputs": [
{
"data": [1],
"dims": [1, 1],
"type": "int32"
}
]
},
{
"name": "Scalar to 2D with -1 in shape hints",
"inputs": [
{
"data": [1],
"dims": [],
"type": "int32"
},
{
"data": [-1, 1],
"dims": [2],
"type": "int64"
}
],
"outputs": [
{
"data": [1],
"dims": [1, 1],
"type": "int32"
}
]
}
]
}
]