Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Feat (notebook): add example for dynamic quantization to ONNX export #877

Merged
merged 2 commits into from
Mar 6, 2024
Merged

Feat (notebook): add example for dynamic quantization to ONNX export #877

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
1c7c530
Feat (ONNX Export): add example for dynamic quantization to ONNX export
fabianandresgrob Feb 26, 2024
0fb2ea2
Fix (notebooks): make requirements clearer for dynamic export
fabianandresgrob Mar 6, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
112 changes: 102 additions & 10 deletions notebooks/ONNX_export_tutorial.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -213,7 +213,7 @@
" "
],
"text/plain": [
"<IPython.lib.display.IFrame at 0x7f2a6afb6f50>"
"<IPython.lib.display.IFrame at 0x7fb62ae3fe50>"
]
},
"execution_count": 4,
Expand Down Expand Up @@ -331,7 +331,7 @@
" "
],
"text/plain": [
"<IPython.lib.display.IFrame at 0x7f2a6afa9e90>"
"<IPython.lib.display.IFrame at 0x7fb734383710>"
]
},
"execution_count": 6,
Expand Down Expand Up @@ -460,7 +460,7 @@
" "
],
"text/plain": [
"<IPython.lib.display.IFrame at 0x7f2a69d7ff10>"
"<IPython.lib.display.IFrame at 0x7fb629e8a010>"
]
},
"execution_count": 8,
Expand Down Expand Up @@ -605,7 +605,7 @@
" "
],
"text/plain": [
"<IPython.lib.display.IFrame at 0x7f2a69d2e710>"
"<IPython.lib.display.IFrame at 0x7fb62ae37190>"
]
},
"execution_count": 10,
Expand Down Expand Up @@ -704,7 +704,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-03-01 03:24:07.215804006 [W:onnxruntime:, graph.cc:1283 Graph] Initializer linear.bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py.\n"
"2024-03-06 02:12:47.492497092 [W:onnxruntime:, graph.cc:1283 Graph] Initializer linear.bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py.\n"
]
}
],
Expand Down Expand Up @@ -842,18 +842,18 @@
},
"outputs": [
{
"name": "stdout",
"name": "stderr",
"output_type": "stream",
"text": [
"True\n"
"/scratch/fabian/brevitas/src/brevitas/export/onnx/standard/manager.py:26: UserWarning: ONNX opset version set to 13, override with opset_version=\n",
" warnings.warn(f\"ONNX opset version set to {DEFAULT_OPSET}, override with {ka}=\")\n"
]
},
{
"name": "stderr",
"name": "stdout",
"output_type": "stream",
"text": [
"/scratch/fabian/brevitas/src/brevitas/export/onnx/standard/manager.py:26: UserWarning: ONNX opset version set to 13, override with opset_version=\n",
" warnings.warn(f\"ONNX opset version set to {DEFAULT_OPSET}, override with {ka}=\")\n"
"True\n"
]
}
],
Expand Down Expand Up @@ -912,6 +912,98 @@
"\n",
"Due to differences in how the computation is performed between Brevitas and ONNX Runtime, it might happen the two results are slightly different (since Brevitas uses a style closer to QCDQ, rather than operating between integers), thus we added a tolerance for off-by-1 errors."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Export Dynamically Quantized Models to ONNX "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can also export dynamically quantized models to ONNX, but there are some limitations. The ONNX DynamicQuantizeLinear requires the following settings:\n",
"- Asymmetric quantization (and therefore *unsigned*)\n",
"- Min-max scaling\n",
"- Rounding to nearest\n",
"- Per tensor scaling\n",
"- Bit width set to 8\n",
"\n",
"This is shown in the following example:"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"from brevitas_examples.common.generative.quantizers import ShiftedUint8DynamicActPerTensorFloat\n",
"\n",
"IN_CH = 3\n",
"IMG_SIZE = 128\n",
"OUT_CH = 128\n",
"BATCH_SIZE = 1\n",
"\n",
"class Model(torch.nn.Module):\n",
" def __init__(self) -> None:\n",
" super().__init__()\n",
" self.linear = qnn.QuantLinear(IN_CH, OUT_CH, bias=True, weight_bit_width=8, input_quant=ShiftedUint8DynamicActPerTensorFloat)\n",
" self.act = qnn.QuantReLU(input_quant=ShiftedUint8DynamicActPerTensorFloat)\n",
" \n",
" def forward(self, inp):\n",
" inp = self.linear(inp)\n",
" inp = self.act(inp)\n",
" return inp\n",
"\n",
"inp = torch.randn(BATCH_SIZE, IN_CH)\n",
"model = Model() \n",
"model.eval()\n",
"path = 'dynamic_quant_model_qcdq.onnx'\n",
"\n",
"exported_model = export_onnx_qcdq(model, args=inp, export_path=path, opset_version=13)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Serving 'dynamic_quant_model_qcdq.onnx' at http://localhost:8086\n"
]
},
{
"data": {
"text/html": [
"\n",
" <iframe\n",
" width=\"100%\"\n",
" height=\"400\"\n",
" src=\"http://localhost:8086/\"\n",
" frameborder=\"0\"\n",
" allowfullscreen\n",
" \n",
" ></iframe>\n",
" "
],
"text/plain": [
"<IPython.lib.display.IFrame at 0x7fb62856ccd0>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"show_netron(\"dynamic_quant_model_qcdq.onnx\", 8086)"
]
}
],
"metadata": {
Expand Down
Loading