History log of /external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/resolve_reorder_axes.cc
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60d5caeb2d506401d480503e21cc97c9a784c81b 07-Feb-2018 A. Unique TensorFlower <gardener@tensorflow.org> We used to bypass fake-quant nodes in resolve_reorder_axes, as a hack as we
needed to preserve fake-quant nodes on constant weights as the only way to
encode min-max information when exporting to GraphDef.

Not anymore. Now we unconditionally enable the resolve_constant_fake_quant
transformation, and we don't do this bypass anymore; instead, when exporting
to GraphDef, we re-add FakeQuant nodes just before exporting, around
constant arrays that have minmax.

PiperOrigin-RevId: 184774680
/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/resolve_reorder_axes.cc
ba4aec48268d02f111cd7e2c2666f4e7b077e68a 23-Jan-2018 A. Unique TensorFlower <gardener@tensorflow.org> Internal Change

PiperOrigin-RevId: 182974191
/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/resolve_reorder_axes.cc
cf327e8560fc044ab37e6a766c852e7b6546f228 17-Jan-2018 A. Unique TensorFlower <gardener@tensorflow.org> Allow ReorderAxes to work on QUINT8 arrays. This will be necessary in order to support models that include tensorflow's DequantizeOp (such models were "quantized" using tensorflow's transform_graph tool).

PiperOrigin-RevId: 182131833
/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/resolve_reorder_axes.cc
0b15439f8f0f2d4755587f4096c3ea04cb199d23 10-Nov-2017 Andrew Selle <aselle@google.com> Internal Change.

PiperOrigin-RevId: 175307445
/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/resolve_reorder_axes.cc