thek0tyara/llama-cpp-turboquant
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 6

Fix FLOPS calculation

Browse source
This commit is contained in:
Corentin 2021-06-25 03:27:52 +09:00
parent 7f4ec27235
commit a3f7793c17
4 changed files with 41 additions and 34 deletions
Download patch file Download diff file Expand all files Collapse all files

15
examples/python_naive_matmul/imp2_tiled.py
View file

@ -43,8 +43,8 @@ void main()
uint row = gl_LocalInvocationID.x; // 0 .. tile_size
uint col = gl_LocalInvocationID.y; // 0 .. tile_size
// gl_WorkGroupID : 0 .. tensor_size / tile_size
uint globalRow = ({tile_size} * gl_WorkGroupID.x) + row;
uint globalCol = ({tile_size} * gl_WorkGroupID.y) + col;
uint globalRow = {tile_size} * gl_WorkGroupID.x + row;
uint globalCol = {tile_size} * gl_WorkGroupID.y + col;
uint tensor_size = uint(tensor_size_f);
float acc = 0.0;
@ -64,8 +64,7 @@ void main()
barrier();
}}
uint globalIndex = (tensor_size * globalCol) + globalRow;
out_tensor[globalIndex] = acc;
out_tensor[tensor_size * globalCol + globalRow] = acc;
}}'''
self.compiled_shader = kp.Shader.compile_source(self.shader)
self.tensor_shape: tuple[int, int] = (0, 0)
@ -99,7 +98,7 @@ def main():
matmul_op = MatMulOp(mgr)
tensor_size = 512
tensor_size = 4096
tensor_shape = [tensor_size, tensor_size]
tensor_in_1 = mgr.tensor(np.triu(np.ones(tensor_shape)))
tensor_in_2 = mgr.tensor(np.triu(np.ones(tensor_shape)))
@ -111,20 +110,20 @@ def main():
matmul_op(tensor_shape, tensor_in_1, tensor_in_2, tensor_out)
experiment_count = 1000
experiment_count = 8
start_time = time.time()
for _ in range(experiment_count):
matmul_op(tensor_shape, tensor_in_1, tensor_in_2, tensor_out)
end_time = time.time()
experiment_time = end_time - start_time
op_count = tensor_shape[0] * tensor_shape[1] * (tensor_shape[1] - 1)
op_count = tensor_shape[0] * tensor_shape[1] * ((tensor_shape[1] * 2) - 1)
print(f'Output :\n{tensor_out.data().reshape(tensor_shape)}')
print(f'{experiment_count} matmul time : '
f'{experiment_time * 1000:0.2f}ms => '
f'{experiment_count / experiment_time:0.2f}op/s or '
f'{experiment_count * op_count / (1e9 * experiment_time):0.2f}GFLOPS')
f'{experiment_count * op_count / (1e9 * experiment_time):0.2f} GFLOPS')
if __name__ == '__main__':