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-rw-r--r--verif/generator/tosa_arg_gen.py12
1 files changed, 6 insertions, 6 deletions
diff --git a/verif/generator/tosa_arg_gen.py b/verif/generator/tosa_arg_gen.py
index 193da73..35253e0 100644
--- a/verif/generator/tosa_arg_gen.py
+++ b/verif/generator/tosa_arg_gen.py
@@ -213,17 +213,17 @@ class TosaTensorGen:
assert rank == 3
values_in_shape = testGen.makeShape(rank)
+ K = values_in_shape[1]
# ignore max batch size if target shape is set
if testGen.args.max_batch_size and not testGen.args.target_shapes:
values_in_shape[0] = min(values_in_shape[0], testGen.args.max_batch_size)
- W = testGen.randInt(
- testGen.args.tensor_shape_range[0], testGen.args.tensor_shape_range[1]
- )
- # Constrict W if one dimension is too large to keep tensor size reasonable
- if max(values_in_shape) > 5000:
- W = testGen.randInt(0, 16)
+ # Make sure W is not greater than K, as we can only write each output index
+ # once (having a W greater than K means that you have to repeat a K index)
+ W_min = min(testGen.args.tensor_shape_range[0], K)
+ W_max = min(testGen.args.tensor_shape_range[1], K)
+ W = testGen.randInt(W_min, W_max) if W_min < W_max else W_min
input_shape = [values_in_shape[0], W, values_in_shape[2]]