Remove confusing unused output_gen field.
PiperOrigin-RevId: 244119314
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@ -109,7 +109,7 @@ class RepresentativeDataset(object):
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converted floating point model.
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converted floating point model.
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"""
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"""
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def __init__(self, input_gen, output_gen=None):
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def __init__(self, input_gen):
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"""Creates a representative dataset.
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"""Creates a representative dataset.
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Args:
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Args:
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@ -117,14 +117,8 @@ class RepresentativeDataset(object):
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for the model. This must be a callable object that returns an object
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for the model. This must be a callable object that returns an object
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that supports the `iter()` protocol (e.g. a generator function). The
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that supports the `iter()` protocol (e.g. a generator function). The
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elements generated must have same type and shape as inputs to the model.
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elements generated must have same type and shape as inputs to the model.
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output_gen: (optional) an output generator that can be used to generate
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output samples for the model. This must be a callable object that
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returns an object that supports the `iter()` protocol (e.g. a generator
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function). The elements generated must have same type and shape as
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outputs to the model. (default None)
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"""
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"""
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self.input_gen = input_gen
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self.input_gen = input_gen
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self.output_gen = output_gen
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@_tf_export("lite.TargetSpec")
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@_tf_export("lite.TargetSpec")
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@ -4,6 +4,6 @@ tf_class {
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is_instance: "<type \'object\'>"
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is_instance: "<type \'object\'>"
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member_method {
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member_method {
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name: "__init__"
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name: "__init__"
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argspec: "args=[\'self\', \'input_gen\', \'output_gen\'], varargs=None, keywords=None, defaults=[\'None\'], "
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argspec: "args=[\'self\', \'input_gen\'], varargs=None, keywords=None, defaults=None"
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}
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}
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}
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}
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@ -4,6 +4,6 @@ tf_class {
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is_instance: "<type \'object\'>"
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is_instance: "<type \'object\'>"
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member_method {
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member_method {
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name: "__init__"
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name: "__init__"
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argspec: "args=[\'self\', \'input_gen\', \'output_gen\'], varargs=None, keywords=None, defaults=[\'None\'], "
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argspec: "args=[\'self\', \'input_gen\'], varargs=None, keywords=None, defaults=None"
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}
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}
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}
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}
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