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Change the way to validate keep_num_dims attribute for new tf. #2367

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merged 2 commits into from
Nov 20, 2024
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Change the way to validate keep_num_dims attribute for new tf. #2367

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b863e22
Change the way to validate keep_num_dims attribute for new tf.
fatcat-z Nov 20, 2024
97cb453
Fix a lint issue.
fatcat-z Nov 20, 2024
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4 changes: 1 addition & 3 deletions tf2onnx/tflite_handlers/tfl_math.py
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Original file line number Diff line number Diff line change
Expand Up @@ -201,12 +201,10 @@ def to_tf(cls, ctx, node, **kwargs):
separate_fused_activation_function(ctx, node)
utils.make_sure(node.attr['weights_format'].s == b'DEFAULT',
"Only default weights format supported for fully connected op")
utils.make_sure(node.attr['keep_num_dims'].i == 0,
"Only keep_num_dims=False supported for fully connected op")
if node.attr['asymmetric_quantize_inputs'].i == 1:
dynamic_quantize_inputs(ctx, node)

if ctx.get_rank(node.input[0]) != 2:
if node.attr['keep_num_dims'].i == 0 and ctx.get_rank(node.input[0]) != 2:
# When a fullyconnected node has keep_num_dims=0 and input[0] rank > 2, the extra dims must be compressed
utils.make_sure(ctx.get_rank(node.input[1]) == 2, "weights for FullyConnected must have rank 2")
weights_shape = ctx.get_shape(node.input[1])[1]
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