Updating renames_v2.py and reorders_v2.py.
PiperOrigin-RevId: 292442894 Change-Id: Ia1261c1a8abb94e2f1ee8b7ddd91e5cb6af7c80b
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@ -849,7 +849,7 @@ renames = {
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'tf.nn.ctc_beam_search_decoder_v2':
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'tf.nn.ctc_beam_search_decoder',
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'tf.nn.ctc_loss_v2':
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'tf.nn.ctc_loss',
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'tf.compat.v1.nn.ctc_loss_v2',
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'tf.nn.depthwise_conv2d_native':
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'tf.compat.v1.nn.depthwise_conv2d_native',
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'tf.nn.depthwise_conv2d_native_backprop_filter':
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@ -98,7 +98,7 @@ reorders = {
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'tf.pad': ['tensor', 'paddings', 'mode', 'name', 'constant_values'],
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'tf.parse_example': ['serialized', 'features', 'name', 'example_names'],
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'tf.parse_single_example': ['serialized', 'features', 'name', 'example_names'],
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'tf.quantize_v2': ['input', 'min_range', 'max_range', 'T', 'mode', 'name', 'round_mode'],
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'tf.quantize_v2': ['input', 'min_range', 'max_range', 'T', 'mode', 'name', 'round_mode', 'narrow_range', 'axis', 'ensure_minimum_range'],
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'tf.random.multinomial': ['logits', 'num_samples', 'seed', 'name', 'output_dtype'],
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'tf.random.poisson': ['lam', 'shape', 'dtype', 'seed', 'name'],
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'tf.random_poisson': ['lam', 'shape', 'dtype', 'seed', 'name'],
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