diff options
Diffstat (limited to 'ethosu/vela/graph_optimiser.py')
| -rw-r--r-- | ethosu/vela/graph_optimiser.py | 19 |
1 files changed, 3 insertions, 16 deletions
diff --git a/ethosu/vela/graph_optimiser.py b/ethosu/vela/graph_optimiser.py index fb5235dc..35932d49 100644 --- a/ethosu/vela/graph_optimiser.py +++ b/ethosu/vela/graph_optimiser.py @@ -317,7 +317,7 @@ def fixup_fully_connected_input(op, arch, nng): return op -def convert_batched_fc_to_conv(op, arch, nng): +def convert_batched_fc_shape(op, arch, nng): if op.type == Op.FullyConnected: ifm = op.inputs[0] ofm = op.outputs[0] @@ -327,19 +327,6 @@ def convert_batched_fc_to_conv(op, arch, nng): batching_split = {4: (2, 2), 8: (2, 4), 16: (4, 4)} h, w = batching_split.get(n, (1, n)) - # Convert to convolution - op.name += "_conv" - op.type = Op.Conv2DBias - op.attrs = { - "dilation": (1, 1, 1, 1), - "dilation_h_factor": 1, - "dilation_w_factor": 1, - "padding": b"SAME", - "stride_h": 1, - "stride_w": 1, - "strides": (1, 1, 1, 1), - } - prev_op = ifm.ops[0] desired_shape = [1, h, w, ifm.shape[-1]] if len(ifm.consumer_list) == 1 and prev_op is not None and prev_op.type == Op.Reshape: @@ -380,7 +367,7 @@ def convert_batched_fc_to_conv(op, arch, nng): else: op.outputs[0].set_all_shapes(desired_shape) else: - # Add rehape op to the output + # Add reshape op to the output op.set_output_tensor(create_reshape_tensor(ofm, desired_shape, False)) return op @@ -1095,7 +1082,7 @@ def optimise_graph_a(nng, arch, verbose_graph=False): convert_conv_to_fc, convert_softmax, fixup_fully_connected_input, - convert_batched_fc_to_conv, + convert_batched_fc_shape, fixup_pack_input, unfuse_activation_function, fixup_conv2d_backprop, |