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https://github.com/PaddlePaddle/FastDeploy.git
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Remove CUDA ERROR 9 of inputs of get_padding_offset kernel (#5440)
Co-authored-by: K11OntheBoat <“ruianmaidanglao@163.com”>
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@@ -23,7 +23,7 @@ from fastdeploy.model_executor.ops.gpu import get_padding_offset
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class TestGetPaddingOffset(unittest.TestCase):
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def test_get_padding_offset(self):
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seq_lens = np.array([4, 3, 6], "int32").reshape(-1, 1)
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token_num = np.sum(seq_lens)
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token_num_cpu = np.sum(seq_lens)
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input_ids = np.array(
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[[8, 7, 8, 2, 0, 0, 0, 0, 0, 0], [4, 5, 5, 0, 0, 0, 0, 0, 0, 0], [7, 6, 1, 7, 2, 6, 0, 0, 0, 0]], "int64"
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)
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@@ -32,11 +32,7 @@ class TestGetPaddingOffset(unittest.TestCase):
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batch_id_per_token,
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cu_seqlens_q,
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cu_seqlens_k,
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) = get_padding_offset(
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paddle.to_tensor(input_ids),
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paddle.to_tensor(token_num),
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paddle.to_tensor(seq_lens),
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)
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) = get_padding_offset(paddle.to_tensor(input_ids), paddle.to_tensor(seq_lens), token_num_cpu)
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ref_x_remove_padding = np.array([8, 7, 8, 2, 4, 5, 5, 7, 6, 1, 7, 2, 6], "int64")
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ref_batch_id_per_token = np.array([0, 0, 0, 0, 1, 1, 1, 2, 2, 2, 2, 2, 2], "int32")
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@@ -86,14 +86,13 @@ class TestSpeculateGetPaddingOffset(unittest.TestCase):
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input_ids = np.random.randint(0, 1000, (test_case["bsz"], test_case["max_seq_len"]), dtype=np.int64)
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draft_tokens = np.random.randint(0, 1000, (test_case["bsz"], max_draft_tokens), dtype=np.int64)
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token_num = np.array([test_case["token_num_data"]], dtype=np.int64)
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token_num_cpu = np.array([test_case["token_num_data"]], dtype=np.int64).item()
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input_ids_tensor = paddle.to_tensor(input_ids)
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draft_tokens_tensor = paddle.to_tensor(draft_tokens)
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cum_offsets_tensor = paddle.to_tensor(test_case["cum_offsets"])
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seq_lens_tensor = paddle.to_tensor(test_case["seq_lens"])
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seq_lens_encoder_tensor = paddle.to_tensor(test_case["seq_lens_encoder"])
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token_num_tensor = paddle.to_tensor(token_num)
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(
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x_remove_padding,
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@@ -104,9 +103,9 @@ class TestSpeculateGetPaddingOffset(unittest.TestCase):
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input_ids_tensor,
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draft_tokens_tensor,
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cum_offsets_tensor,
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token_num_tensor,
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seq_lens_tensor,
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seq_lens_encoder_tensor,
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token_num_cpu,
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)
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(
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