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generate_matrix.py: switch to fp16 rand, generate row-major A

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Hansung Kim
2024-10-02 11:01:23 -07:00
parent db2789bf23
commit 3490294626
1 changed files with 6 additions and 2 deletions
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8
tests/kernel/tensor/generate_matrix.py
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@@ -46,7 +46,7 @@ def pack_fp16_by_row(array):
if __name__ == "__main__": if __name__ == "__main__":
M, N, K = parse_mnk() M, N, K = parse_mnk()
rand = False rand = True
if not rand: if not rand:
A_array = np.arange(M * K).reshape([M, K]) A_array = np.arange(M * K).reshape([M, K])
B_array = np.arange(K * N).reshape([K, N]) B_array = np.arange(K * N).reshape([K, N])
@@ -77,12 +77,16 @@ if __name__ == "__main__":
np.savez("abc", A_array=A_array, B_array=B_array, C_array=C_array) np.savez("abc", A_array=A_array, B_array=B_array, C_array=C_array)
fp16 = False fp16 = True
if fp16: if fp16:
A_packed = pack_fp16_by_row(A_array) A_packed = pack_fp16_by_row(A_array)
A_swizzled = A_packed.reshape([-1, M * 2])
A_swizzled.astype('float16').tofile("input.a.row.bin")
AT_packed = A_packed.transpose([1, 0, 2]) AT_packed = A_packed.transpose([1, 0, 2])
AT_swizzled = AT_packed.reshape([-1, M * 2]) AT_swizzled = AT_packed.reshape([-1, M * 2])
AT_swizzled.astype('float16').tofile("input.a.col.bin") AT_swizzled.astype('float16').tofile("input.a.col.bin")
print('A:')
print(A_swizzled)
print('AT:') print('AT:')
print(AT_swizzled) print(AT_swizzled)
B_packed = pack_fp16_by_column(B_array) B_packed = pack_fp16_by_column(B_array)