Integrate Automated QDQ placement tool - Part 3 #703
Conversation
|
@vishalpandya1990 could you help me review this PR? thanks! |
Sorry for the delay. Added Ajinkya for review. |
Signed-off-by: Will Guo <[email protected]>
willg-nv
force-pushed
the
dev-willg-integrate-auto-qdq-placement-part3
branch
from
3454bba to
4b9d789
Compare
| @@ -0,0 +1,157 @@ | |||
| # SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. | |||
There was a problem hiding this comment.
Please update the year to 2026.
| "--output", | ||
| "-o", | ||
| type=str, | ||
| default=DEFAULT_OUTPUT_DIR, |
There was a problem hiding this comment.
Can we update this behavior to match the ONNX quantization and Autocast workflow?
In there, if output_path is not given, the resulting model is saved in the same path as the input model with a name extension. For ex: the quantized model.onnx is saved as model.quant.onnx and the converted model is saved as model.fp16.onnx.
See more details in:
There was a problem hiding this comment.
Suggestion: rename this as output_path to match other ONNX workflows.
| help=f"Number of timing runs (default: {DEFAULT_TIMING_RUNS})", | ||
| ) | ||
| trt_group.add_argument( | ||
| "--plugin-libraries", |
There was a problem hiding this comment.
@ajrasane should we update all argparse names to have _ instead of - to match the ONNX quant and autocast workflows?
|
|
||
| # Model and Output | ||
| io_group = parser.add_argument_group("Model and Output") | ||
| io_group.add_argument("--model", "-m", type=str, required=True, help="Path to ONNX model file") |
There was a problem hiding this comment.
Suggestion: rename this as onnx_path to match other ONNX workflows.
| from modelopt.onnx.quantization.autotune.common import PatternCache, RegionType | ||
|
|
||
|
|
||
| def create_simple_conv_model(): |
There was a problem hiding this comment.
Can we move this to tests/_test_utils/onnx/lib_test_models.py? Alternatively, NonSimplifiedModel or build_resnet_block could be used here instead?
@ajrasane WDYT?
3 participants
What does this PR do?
Type of change: new feature
Overview: This PR integrates automated QDQ placement tool to ModelOpt. This PR is 3/4 of the change. This PR contains the following changes:
Part 1: #701
Part 2: #702
Part 3: #703
Part 4: #704
Usage
Testing
Implemented unit tests for QDQAutotuner and Config classes.
Before your PR is "Ready for review"
Additional Information