diff options
Diffstat (limited to 'ethosu/vela/tflite_graph_optimiser.py')
| -rw-r--r-- | ethosu/vela/tflite_graph_optimiser.py | 20 |
1 files changed, 2 insertions, 18 deletions
diff --git a/ethosu/vela/tflite_graph_optimiser.py b/ethosu/vela/tflite_graph_optimiser.py index ef39aea3..7526f46a 100644 --- a/ethosu/vela/tflite_graph_optimiser.py +++ b/ethosu/vela/tflite_graph_optimiser.py @@ -34,6 +34,7 @@ from .graph_optimiser_util import bypass_reshape_and_squeeze_ops from .graph_optimiser_util import calc_explicit_padding from .graph_optimiser_util import convert_depthwise_to_conv from .graph_optimiser_util import fix_sg_input_output +from .graph_optimiser_util import move_splitsliceread_to_consumer from .graph_optimiser_util import needed_total_padding from .graph_optimiser_util import set_ifm_ofm_op_shapes from .graph_optimiser_util import set_tensor_equivalence @@ -193,24 +194,7 @@ def remove_SplitSliceRead(op, arch): ): # SplitSliceRead can be performed by tensor consumer cons_op = op.ofm.consumer_list[0] - if cons_op.ifm == op.ofm: - cons_op.read_offsets[0] = op.read_offsets[0] - cons_op.read_shapes[0] = op.read_shapes[0] - cons_op.set_input_tensor(op.ifm, cons_op.type.info.indices.ifms[0]) - cons_op.ifm_shapes[0] = op.ifm_shapes[0] - elif cons_op.type.is_binary_elementwise_op() and cons_op.ifm2 == op.ofm: - cons_op.read_offsets[1] = op.read_offsets[0] - cons_op.read_shapes[1] = op.read_shapes[0] - cons_op.set_input_tensor(op.ifm, cons_op.type.info.indices.ifms[1]) - cons_op.ifm_shapes[1] = op.ifm_shapes[0] - - if "skirt" in cons_op.attrs: - assert cons_op.attrs["explicit_padding"] == cons_op.attrs["skirt"] - cons_op.attrs["skirt"] = None - cons_op.attrs["force_padding"] = True - op.ofm.consumer_list.remove(cons_op) - op.ofm.ops = [] - op.ifm.consumer_list.remove(op) + move_splitsliceread_to_consumer(op, cons_op) else: avgpool_op = create_avgpool_nop(op.name + "_avgpool") avgpool_op.add_input_tensor(op.ifm) |