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Reinstate llama tests #141

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merged 1 commit into from
Nov 22, 2024
Merged

Reinstate llama tests #141

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2 changes: 1 addition & 1 deletion intel_npu_acceleration_library/_version.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,4 +3,4 @@
# SPDX-License-Identifier: Apache 2.0
#

__version__ = "v1.3.0"
__version__ = "v1.4.0"
4 changes: 2 additions & 2 deletions intel_npu_acceleration_library/nn/llm.py
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Expand Up @@ -154,7 +154,7 @@ def __init__(

self.hidden_size = config.hidden_size
self.num_heads = config.num_attention_heads
self.head_dim = self.hidden_size // self.num_heads
self.head_dim = getattr(config, "head_dim", self.hidden_size // self.num_heads)
self.num_key_value_heads = config.num_key_value_heads
self.num_key_value_groups = self.num_heads // self.num_key_value_heads
self.is_causal = True
Expand Down Expand Up @@ -238,7 +238,7 @@ def forward(
)

attn_output = attn_output.transpose(1, 2).contiguous()
attn_output = attn_output.reshape(bsz, q_len, self.hidden_size)
attn_output = attn_output.view(bsz, q_len, -1)

attn_output = self.o_proj(attn_output)

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4 changes: 1 addition & 3 deletions test/python/test_optimizations.py
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Expand Up @@ -81,6 +81,7 @@ def get_model(model_name, hidden_size, intermediate_size, bias):
conf.num_hidden_layers = 1
conf.hidden_size = hidden_size
conf.intermediate_size = intermediate_size
conf.head_dim = conf.hidden_size // conf.num_attention_heads

return LlamaModel(conf)
elif model_name == "GemmaModel":
Expand Down Expand Up @@ -130,9 +131,6 @@ def test_fusion(model_name, hidden_size, intermediate_size, batch, bias):
@pytest.mark.parametrize("bias", [True, False])
def test_model(model_name, hidden_size, intermediate_size, sequence_length, bias):

if model_name == "LlamaModel":
pytest.skip("LlamaModel Fix in progress")

with torch.no_grad():
model = get_model(model_name, hidden_size, intermediate_size, bias).eval()
example_input = torch.randint(
Expand Down
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