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docs: correct Adagrad and matrix multiplication wording #2058

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docs: correct Adagrad and matrix multiplication wording #2058

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2 changes: 1 addition & 1 deletion bitsandbytes/functional.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1291,7 +1291,7 @@ def check_matmul(A, B, out, transposed_A, transposed_B, expected_type=torch.int8

if not correct:
raise ValueError(
f"Tensor dimensions incorrect for matrix mulitiplication: A x B: {sA} x {sB} with transpose for A x B: {tA} x {tB}.",
f"Tensor dimensions incorrect for matrix multiplication: A x B: {sA} x {sB} with transpose for A x B: {tA} x {tB}.",
)

return sout
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6 changes: 3 additions & 3 deletions bitsandbytes/optim/adagrad.py
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Expand Up @@ -31,7 +31,7 @@ def __init__(
weight_decay (`float`, defaults to 0.0):
The weight decay value for the optimizer.
initial_accumulator_value (`int`, defaults to 0):
The initial momemtum values.
The initial accumulator value.
eps (`float`, defaults to 1e-10):
The epsilon value prevents division by zero in the optimizer.
optim_bits (`int`, defaults to 32):
Expand Down Expand Up @@ -90,7 +90,7 @@ def __init__(
weight_decay (`float`, defaults to 0.0):
The weight decay value for the optimizer.
initial_accumulator_value (`int`, defaults to 0):
The initial momemtum values.
The initial accumulator value.
eps (`float`, defaults to 1e-10):
The epsilon value prevents division by zero in the optimizer.
optim_bits (`int`, defaults to 8):
Expand Down Expand Up @@ -154,7 +154,7 @@ def __init__(
weight_decay (`float`, defaults to 0.0):
The weight decay value for the optimizer.
initial_accumulator_value (`int`, defaults to 0):
The initial momemtum values.
The initial accumulator value.
eps (`float`, defaults to 1e-10):
The epsilon value prevents division by zero in the optimizer.
optim_bits (`int`, defaults to 32):
Expand Down