↓ 11 callersMethod_make_test_case(self, batch, seq_len, d_model, d_state, zero_u=False, zero_delta=False)
challenges/medium/94_ssm_selective_scan/challenge.py:117
↓ 11 callersMethod_make_test_case(self, M: int, N: int, K: int, group_size: int, zero_x: bool = False)
challenges/medium/81_int4_matmul/challenge.py:86
↓ 11 callersMethod_make_test_case(self, num_heads, seq_len, head_dim, zero_q=False, seed=None)
challenges/medium/96_int8_kv_cache_attention/challenge.py:88
↓ 10 callersMethod_make_test_case(self, num_q_heads, num_kv_heads, seq_len, head_dim, zero_inputs=False)
challenges/medium/80_grouped_query_attention/challenge.py:80
↓ 10 callersMethod_make_test_case(self, B, L, zero_inputs=False, zero_a=False, unit_a=False)
challenges/medium/82_linear_recurrence/challenge.py:64
↓ 9 callersMethod_make_test_case(self, batch, d_in, d_out, rank, lora_scale=0.5, zero_x=False)
challenges/medium/85_lora_linear/challenge.py:69
↓ 6 callersMethod_random_case(
self,
B: int,
T: int,
V: int,
P: int,
D: int,
eps: f
challenges/medium/106_token_embedding_layer/challenge.py:144
↓ 1 callersFunctionsubmit_solution(
ws_url: str,
api_key: str,
challenge_code: str,
file_name: str,
content: str,
langua
scripts/run_challenge.py:47
Functionclip_kernel(input, output, lo, hi, N, BLOCK_SIZE: tl.constexpr)
challenges/easy/62_value_clipping/starter/starter.triton.py:7
Functionconv1d_kernel(input, kernel, output, input_size, kernel_size, BLOCK_SIZE: tl.constexpr)
challenges/easy/9_1d_convolution/starter/starter.triton.py:7