experiments/STT-tensorflow
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Added v1 golden file for 'api_compatibility_test'

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Bhavani Subramanian 2019-02-19 23:36:06 -08:00
parent 4dc1db5f58
commit dcbbefa8c7
1 changed files with 10 additions and 10 deletions
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tensorflow/tools/api/golden/v1/tensorflow.raw_ops.pbtxt
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@ -2278,43 +2278,43 @@ tf_module {
}
member_method {
name: "QuantizedConv2DAndRelu"
argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'out_type\', \'strides\', \'padding\', \'dilations\'], varargs=None, keywords=None, defaults=None"
argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'out_type\', \'strides\', \'padding\', \'dilations\', \'padding_list\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "QuantizedConv2DAndReluAndRequantize"
argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'out_type\', \'strides\', \'padding\', \'dilations\'], varargs=None, keywords=None, defaults=None"
argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'out_type\', \'strides\', \'padding\', \'dilations\', \'padding_list\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "QuantizedConv2DAndRequantize"
argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'out_type\', \'strides\', \'padding\', \'dilations\'], varargs=None, keywords=None, defaults=None"
argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'out_type\', \'strides\', \'padding\', \'dilations\', \'padding_list\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "QuantizedConv2DWithBias"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'out_type\', \'strides\', \'padding\', \'dilations\'], varargs=None, keywords=None, defaults=None"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'out_type\', \'strides\', \'padding\', \'dilations\', \'padding_list\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "QuantizedConv2DWithBiasAndRelu"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'out_type\', \'strides\', \'padding\', \'dilations\'], varargs=None, keywords=None, defaults=None"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'out_type\', \'strides\', \'padding\', \'dilations\', \'padding_list\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "QuantizedConv2DWithBiasAndReluAndRequantize"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'out_type\', \'strides\', \'padding\', \'dilations\'], varargs=None, keywords=None, defaults=None"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'out_type\', \'strides\', \'padding\', \'dilations\', \'padding_list\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "QuantizedConv2DWithBiasAndRequantize"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'out_type\', \'strides\', \'padding\', \'dilations\'], varargs=None, keywords=None, defaults=None"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'out_type\', \'strides\', \'padding\', \'dilations\', \'padding_list\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "QuantizedConv2DWithBiasSignedSumAndReluAndRequantize"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'summand\', \'min_summand\', \'max_summand\', \'out_type\', \'strides\', \'padding\', \'dilations\'], varargs=None, keywords=None, defaults=None"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'summand\', \'min_summand\', \'max_summand\', \'out_type\', \'strides\', \'padding\', \'dilations\', \'padding_list\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "QuantizedConv2DWithBiasSumAndRelu"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'summand\', \'out_type\', \'strides\', \'padding\', \'dilations\'], varargs=None, keywords=None, defaults=None"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'summand\', \'out_type\', \'strides\', \'padding\', \'dilations\', \'padding_list\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "QuantizedConv2DWithBiasSumAndReluAndRequantize"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'summand\', \'min_summand\', \'max_summand\', \'out_type\', \'strides\', \'padding\', \'dilations\'], varargs=None, keywords=None, defaults=None"
argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'summand\', \'min_summand\', \'max_summand\', \'out_type\', \'strides\', \'padding\', \'dilations\', \'padding_list\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "QuantizedInstanceNorm"