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44 lines
1.8 KiB
44 lines
1.8 KiB
import numpy as np
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from tinygrad.helpers import getenv
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from tinygrad import dtypes, Tensor
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dtype_in = dtypes.half if getenv("HALF") else dtypes.bfloat16 if getenv("BFLOAT16") else dtypes.float
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acc_dtype = dtypes.half if getenv("ACC_HALF") else dtypes.bfloat16 if getenv("ACC_BFLOAT16") else None
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N_START = getenv("N_START", 1)
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M_START = getenv("M_START", 1)
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K_START = getenv("K_START", 1)
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N_STOP = getenv("N_STOP", 32)
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M_STOP = getenv("M_STOP", N_STOP)
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K_STOP = getenv("K_STOP", N_STOP)
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N_STEP = getenv("N_STEP", 1)
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M_STEP = getenv("M_STEP", 1)
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K_STEP = getenv("K_STEP", 1)
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ATOL = getenv("ATOL", 1e-4)
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RTOL = getenv("RTOL", 3e-2)
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if __name__ == "__main__":
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failed = []
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for M in range(M_START, M_STOP+1, M_STEP):
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for N in range(N_START, N_STOP+1, N_STEP):
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for K in range(K_START, K_STOP+1, K_STEP):
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print(f"testing {M=} {N=} {K=}")
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a, b = Tensor.rand(M, K, dtype=dtype_in).realize(), Tensor.rand(K, N, dtype=dtype_in).realize()
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c = a.matmul(b, dtype=acc_dtype).realize()
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comp = a.numpy().astype(np.float32) @ b.numpy().astype(np.float32)
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nc = c.numpy()
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try:
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np.testing.assert_allclose(nc, comp, atol=ATOL, rtol=RTOL)
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except AssertionError as e:
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failed.append((M,N,K,))
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if getenv("DEBUG_VALUES") > 0:
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indices = np.where(~np.isclose(nc, comp, rtol=RTOL, atol=ATOL))
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non_matching_elements_nc = nc[indices]
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non_matching_elements_comp = comp[indices]
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print(indices)
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print("result :", non_matching_elements_nc)
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print("ground truth:", non_matching_elements_comp)
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print(e)
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pass
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print(f"failed sizes: {failed}")
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print(f"num failures: {len(failed)}")
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if len(failed) > 0:
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raise RuntimeError(f"failed on {len(failed)} kernels") |