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[trimul] Calculate Cauchy distribution on GPU #66

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[trimul] Calculate Cauchy distribution on GPU #66

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6 changes: 4 additions & 2 deletions problems/bioml/trimul/reference.py
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Original file line number Diff line number Diff line change
Expand Up @@ -134,7 +134,9 @@ def generate_input(
# Generate input tensor based on distribution
if distribution == "cauchy":
# Heavier tail distribution
input_tensor = torch.distributions.Cauchy(0, 2).sample(
zero = torch.tensor(0.0, device="cuda")
two = torch.tensor(2.0, device="cuda")
input_tensor = torch.distributions.Cauchy(zero, two).sample(
(batch_size, seq_len, seq_len, dim)
).to(device='cuda', dtype=torch.float32)
else: # normal distribution
Expand Down Expand Up @@ -165,4 +167,4 @@ def generate_input(
return (input_tensor, mask, weights, config)


check_implementation = make_match_reference(ref_kernel, rtol=2e-2, atol=2e-2)
check_implementation = make_match_reference(ref_kernel, rtol=2e-2, atol=2e-2)