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corrections made in jupyter notebooks #532

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corrections made in jupyter notebooks #532

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a8661cd
Bug fixed: the device_group arg is deprecated from compile and added …
smedhe Aug 5, 2025
e1f02e1
Fix formatting issues in notebooks
smedhe Aug 5, 2025
4311272
notebooks updated
smedhe Aug 11, 2025
53aebd1
format fixed in notebooks
smedhe Aug 11, 2025
094b42b
format fixed in notebooks
smedhe Aug 11, 2025
9b0d44d
format fixed in notebooks
smedhe Aug 11, 2025
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10 changes: 4 additions & 6 deletions notebooks/QEfficientGPT2.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -92,11 +92,9 @@
"# Compile the model for provided compilation arguments\n",
"# Please use platform SDK to Check num_cores for your card.\n",
"\n",
"qeff_model.compile(\n",
" num_cores=14,\n",
" mxfp6=True,\n",
" device_group=[0],\n",
")"
"qeff_model.compile(num_cores=14, mxfp6=True)\n",
"\n",
"# the device_group arg is deprecated from compile and added in generate method"
]
},
{
Expand All @@ -117,7 +115,7 @@
"# post compilation, we can print the latency stats for the kv models, We provide API to print token and Latency stats on Cloud AI 100\n",
"# We need the compiled prefill and decode qpc to compute the token generated, This is based on Greedy Sampling Approach\n",
"\n",
"qeff_model.generate(prompts=[\"My name is\"])"
"qeff_model.generate(prompts=[\"My name is\"], device_group=[0])"
]
}
],
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9 changes: 3 additions & 6 deletions notebooks/QEfficientMPT.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -91,11 +91,8 @@
"# Compile the model for provided compilation arguments\n",
"# Please use platform SDK to Check num_cores for your card.\n",
"\n",
"qeff_model.compile(\n",
" num_cores=14,\n",
" mxfp6=True,\n",
" device_group=[0],\n",
")"
"qeff_model.compile(num_cores=14, mxfp6=True)\n",
"# the device_group arg is deprecated from compile and added in generate method"
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@quic-rishinr quic-rishinr Aug 6, 2025

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its not deprecated instead renamed to device_id. However, you can skip setting device_id explicitly as the device will be automatically selected using the auto device picker during execution

]
},
{
Expand All @@ -116,7 +113,7 @@
"# post compilation, we can print the latency stats for the kv models, We provide API to print token and Latency stats on Cloud AI 100\n",
"# We need the compiled prefill and decode qpc to compute the token generated, This is based on Greedy Sampling Approach\n",
"\n",
"qeff_model.generate(prompts=[\"My name is\"])"
"qeff_model.generate(prompts=[\"My name is\"], device_group=[0])"
]
}
],
Expand Down
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