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import pytest
import torch
from copy import copy
from transformers import AutoTokenizer
from text_generation_server.pb import generate_pb2
from text_generation_server.models.causal_lm import CausalLM, CausalLMBatch
@pytest.fixture(scope="session")
def default_causal_lm():
return CausalLM("gpt2")
@pytest.fixture(scope="session")
def gpt2_tokenizer():
tokenizer = AutoTokenizer.from_pretrained("gpt2", padding_side="left")
tokenizer.pad_token_id = 50256
return tokenizer
@pytest.fixture
def default_pb_request(default_pb_parameters, default_pb_stop_parameters):
return generate_pb2.Request(
id=0,
inputs="Test",
truncate=100,
parameters=default_pb_parameters,
stopping_parameters=default_pb_stop_parameters,
)
@pytest.fixture
def default_pb_batch(default_pb_request):
return generate_pb2.Batch(id=0, requests=[default_pb_request], size=1)
@pytest.fixture
def default_causal_lm_batch(default_pb_batch, gpt2_tokenizer):
return CausalLMBatch.from_pb(default_pb_batch, gpt2_tokenizer, torch.device("cpu"))
@pytest.fixture
def default_multi_requests_causal_lm_batch(default_pb_request, gpt2_tokenizer):
req_0 = copy(default_pb_request)
req_0.id = 1
req_1 = default_pb_request
req_1.id = 2
req_1.stopping_parameters.max_new_tokens = 5
batch_pb = generate_pb2.Batch(id=1, requests=[req_0, req_1], size=2)
return CausalLMBatch.from_pb(batch_pb, gpt2_tokenizer, torch.device("cpu"))
def test_batch_from_pb(default_pb_batch, default_causal_lm_batch):
batch = default_causal_lm_batch
assert batch.batch_id == default_pb_batch.id
assert batch.requests == default_pb_batch.requests
assert len(batch.input_ids) == default_pb_batch.size
assert batch.input_ids[0][-1] == 14402
assert torch.all(batch.input_ids[0][:-1] == 50256)
assert batch.attention_mask[0, 0] == 1
assert torch.all(batch.attention_mask[0, 1:] == 0)
assert batch.past_key_values is None
assert all(
[
torch.equal(input_ids, all_input_ids[:, 0])
for input_ids, all_input_ids in zip(batch.input_ids, batch.all_input_ids)
]
)
assert batch.input_lengths == [1]
assert len(batch) == default_pb_batch.size
assert len(batch.next_token_choosers) == len(batch.stopping_criterias) == len(batch)
assert batch.max_input_length == batch.input_lengths[0]
def test_batch_concatenate_no_prefill(default_causal_lm_batch):
with pytest.raises(ValueError):
CausalLMBatch.concatenate([default_causal_lm_batch, default_causal_lm_batch])
def test_causal_lm_batch_type(default_causal_lm):
assert default_causal_lm.batch_type == CausalLMBatch
def test_causal_lm_generate_token(default_causal_lm, default_causal_lm_batch):
sequence_length = len(default_causal_lm_batch.all_input_ids[0])
generations, next_batch = default_causal_lm.generate_token(default_causal_lm_batch)
assert len(generations) == len(next_batch)
assert isinstance(next_batch, CausalLMBatch)
assert len(next_batch.all_input_ids) == len(next_batch)
assert len(next_batch.all_input_ids[0]) == sequence_length + 1
assert len(next_batch.attention_mask[0]) == 11
assert next_batch.all_input_ids[0][-1] == 13
assert next_batch.all_input_ids[0][-2] == 14402
assert torch.all(next_batch.all_input_ids[0][:-2] == 50256)
assert torch.all(next_batch.attention_mask[0][0:2] == 1)
assert torch.all(next_batch.attention_mask[0][2:] == 0)
assert next_batch.input_ids.shape == (len(next_batch), 1)
assert next_batch.input_ids[0, 0] == 13
assert next_batch.input_lengths == [2]
assert next_batch.max_input_length == next_batch.input_lengths[0]
assert next_batch.past_key_values is not None
assert all(
[p[0].shape == (1, 12, sequence_length, 64) for p in next_batch.past_key_values]
)
assert all(
[p[1].shape == (1, 12, sequence_length, 64) for p in next_batch.past_key_values]
)
assert all([generation.generated_text is None for generation in generations])
assert all([len(generation.prefill_tokens) == 1 for generation in generations])
assert all([generation.token_id.item() == 13 for generation in generations])
assert all([generation.token_text == "." for generation in generations])
assert generations[0].request_id == 0
def test_causal_lm_generate_token_completion(
default_causal_lm, default_causal_lm_batch
):
next_batch = default_causal_lm_batch
for _ in range(default_causal_lm_batch.stopping_criterias[0].max_new_tokens - 1):
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert len(generations) == len(next_batch)
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert next_batch is None
assert len(generations) == 1
assert generations[0].generated_text.text == ".java:784) at net.minecraft."
assert generations[0].request_id == default_causal_lm_batch.requests[0].id
assert (
generations[0].generated_text.generated_tokens
== default_causal_lm_batch.stopping_criterias[0].max_new_tokens
)
def test_causal_lm_generate_token_completion_multi(
default_causal_lm, default_multi_requests_causal_lm_batch
):
next_batch = default_multi_requests_causal_lm_batch
for i in range(
default_multi_requests_causal_lm_batch.stopping_criterias[1].max_new_tokens - 1
):
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert len(generations) == len(next_batch)
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert next_batch is not None
assert len(generations) == 2
assert generations[1].generated_text.text == ".java:784)"
assert (
generations[1].request_id
== default_multi_requests_causal_lm_batch.requests[1].id
)
assert (
generations[1].generated_text.generated_tokens
== default_multi_requests_causal_lm_batch.stopping_criterias[1].max_new_tokens
)
# Copy stopping_criterias before filtering
stopping_criterias = (
default_multi_requests_causal_lm_batch.stopping_criterias.copy()
)
next_batch = next_batch.filter([next_batch.requests[0]])
for _ in range(
stopping_criterias[0].max_new_tokens - stopping_criterias[1].max_new_tokens - 1
):
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert len(generations) == len(next_batch)
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert next_batch is None
assert len(generations) == 1
assert generations[0].generated_text.text == ".java:784) at net.minecraft."
assert (
generations[0].request_id
== default_multi_requests_causal_lm_batch.requests[0].id
)
assert (
generations[0].generated_text.generated_tokens
== default_multi_requests_causal_lm_batch.stopping_criterias[0].max_new_tokens
)
def test_batch_concatenate(
default_causal_lm, default_causal_lm_batch, default_multi_requests_causal_lm_batch
):
next_batch_0 = default_causal_lm_batch
_, next_batch_0 = default_causal_lm.generate_token(next_batch_0)
_, next_batch_0 = default_causal_lm.generate_token(next_batch_0)
next_batch_1 = default_multi_requests_causal_lm_batch
_, next_batch_1 = default_causal_lm.generate_token(next_batch_1)
# Clone past_key_values before concatenating to compare after,
# because they are removed from the concatenated batches
next_batch_0_past_key_values = [
(k.clone(), v.clone()) for (k, v) in next_batch_0.past_key_values
]
next_batch_1_past_key_values = [
(k.clone(), v.clone()) for (k, v) in next_batch_1.past_key_values
]
next_batch = CausalLMBatch.concatenate([next_batch_0, next_batch_1])
assert torch.equal(next_batch.all_input_ids[0], next_batch_0.all_input_ids[0])
assert torch.equal(next_batch.all_input_ids[1], next_batch_1.all_input_ids[0])
assert torch.equal(next_batch.all_input_ids[2], next_batch_1.all_input_ids[1])
assert torch.all(
next_batch.attention_mask[0, : -next_batch.padding_right_offset] == 1
)
assert torch.all(
next_batch.attention_mask[1:, 1 : -next_batch.padding_right_offset] == 1
)
assert torch.all(next_batch.attention_mask[1:, 3:] == 0)
assert next_batch.batch_id == 0
assert next_batch.input_ids[0, 0] == 12355
assert torch.all(next_batch.input_ids[1:] == 13)
assert next_batch.input_lengths == [3, 2, 2]
assert next_batch.max_input_length == 3
assert next_batch.requests[0] == next_batch_0.requests[0]
assert next_batch.requests[1:] == next_batch_1.requests
assert next_batch.next_token_choosers[0] == next_batch_0.next_token_choosers[0]
assert next_batch.next_token_choosers[1:] == next_batch_1.next_token_choosers
assert next_batch.stopping_criterias[0] == next_batch_0.stopping_criterias[0]
assert next_batch.stopping_criterias[1:] == next_batch_1.stopping_criterias
assert next_batch.past_key_values is not None
assert all([p[0].shape == (3, 12, 2, 64) for p in next_batch.past_key_values])
assert all([p[1].shape == (3, 12, 2, 64) for p in next_batch.past_key_values])
for i, past in enumerate(next_batch.past_key_values):
assert torch.equal(next_batch_0_past_key_values[i][0][0, :, -2:], past[0][0])
assert torch.equal(
next_batch_1_past_key_values[i][0][:, :, -1:], past[0][1:, :, -1:, :]
)
assert torch.equal(next_batch_0_past_key_values[i][1][0, :, -2:], past[1][0])
assert torch.equal(
next_batch_1_past_key_values[i][1][:, :, -1:], past[1][1:, :, -1:, :]
)
for _ in range(
default_multi_requests_causal_lm_batch.stopping_criterias[1].max_new_tokens - 2
):
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert len(generations) == len(next_batch)
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert next_batch is not None
assert len(generations) == 3
assert generations[2].generated_text.text == ".java:784)"
assert (
generations[2].request_id
== default_multi_requests_causal_lm_batch.requests[1].id
)
assert (
generations[2].generated_text.generated_tokens
== default_multi_requests_causal_lm_batch.stopping_criterias[1].max_new_tokens
)
next_batch = next_batch.filter([next_batch.requests[0], next_batch.requests[1]])
for _ in range(
default_causal_lm_batch.stopping_criterias[0].max_new_tokens
- default_multi_requests_causal_lm_batch.stopping_criterias[1].max_new_tokens
- 2
):
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert len(generations) == len(next_batch)
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert next_batch is not None
assert len(generations) == 2
assert generations[0].generated_text.text == ".java:784) at net.minecraft."
assert generations[0].request_id == default_causal_lm_batch.requests[0].id
assert (
generations[0].generated_text.generated_tokens
== default_causal_lm_batch.stopping_criterias[0].max_new_tokens
)
next_batch = next_batch.filter([next_batch.requests[1]])
for _ in range(
default_multi_requests_causal_lm_batch.stopping_criterias[0].max_new_tokens
- default_causal_lm_batch.stopping_criterias[0].max_new_tokens
- default_multi_requests_causal_lm_batch.stopping_criterias[1].max_new_tokens
- 4
):
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert len(generations) == len(next_batch)
generations, next_batch = default_causal_lm.generate_token(next_batch)
assert next_batch is None
assert len(generations) == 1
assert generations[0].generated_text.text == ".java:784) at net.minecraft."
assert (
generations[0].request_id
== default_multi_requests_causal_lm_batch.requests[0].id
)
assert (
generations[0].generated_text.generated_tokens
== default_multi_requests_causal_lm_batch.stopping_criterias[0].max_new_tokens
)
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