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#0: Clean the code
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djordje-tt committed Sep 25, 2024
1 parent e703983 commit a47d70f
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Showing 4 changed files with 10 additions and 5 deletions.
1 change: 0 additions & 1 deletion models/demos/t3000/llama2_70b/tt/model_config.py
Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,6 @@ def get_model_config(llama_version="llama3", max_batch_size=32, max_context_len=
"NUM_DEVICES": num_devices,
"llama3-tg": MAX_SEQ_LEN_LLAMA3,
"llama3.1-tg": MAX_SEQ_LEN_LLAMA3_1,
"PADDING_LENGTH": 32,
"COMPUTE_KERNEL_CONFIG": ttnn.WormholeComputeKernelConfig(
math_fidelity=ttnn.MathFidelity.HiFi2,
math_approx_mode=True,
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2 changes: 1 addition & 1 deletion models/demos/tg/llama3_70b/demo/demo.py
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Expand Up @@ -7,7 +7,7 @@
import json
import torch
import torch.nn.functional as F
import ttnn

from time import time
import pytest
from loguru import logger
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Original file line number Diff line number Diff line change
Expand Up @@ -458,7 +458,7 @@ def test_LlamaAttention_inference(
max_batch_size=max_batch_size,
max_context_len=max_context_len,
)

check_mesh_device(mesh_device, model_config)
run_test_LlamaAttention_inference(
mesh_device,
cluster_shape,
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10 changes: 8 additions & 2 deletions models/demos/tg/llama3_70b/tests/test_llama_model_galaxy.py
Original file line number Diff line number Diff line change
Expand Up @@ -240,8 +240,14 @@ def run_test_LlamaModel_inference(
)
@pytest.mark.parametrize(
"batch, seq_len",
[(32, 1), (1, 32), (1, 256), (1, 8192), (1, 32768), (1, 128 * 1024)],
ids=["decode", "prefill_32", "prefill_256", "prefill_8k", "prefill_32k", "prefill_128k"],
[
(32, 1),
# (1, 32), (1, 256), (1, 8192), (1, 32768), (1, 128 * 1024)
],
ids=[
"decode",
# "prefill_32", "prefill_256", "prefill_8k", "prefill_32k", "prefill_128k"
],
)
@pytest.mark.parametrize(
"max_batch_size, max_context_len",
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