NXP backend: Updating converter flavor to SDK_25_12.

jirioc · jirioc · commit c16268e7545e · 2025-12-19T14:35:40.000+01:00
diff --git a/backends/nxp/backend/edge_program_converter.py b/backends/nxp/backend/edge_program_converter.py
@@ -56,7 +56,7 @@ class EdgeProgramToIRConverter:
     """
 
     _default_conversion_config = ConversionConfig()
-    _default_target_spec = NeutronTargetSpec("imxrt700", "SDK_25_09")
+    _default_target_spec = NeutronTargetSpec("imxrt700", "SDK_25_12")
     _default_delegation_options = CustomDelegationOptions()
 
     def convert_program(
diff --git a/backends/nxp/backend/neutron_converter_manager.py b/backends/nxp/backend/neutron_converter_manager.py
@@ -28,7 +28,7 @@ class NeutronConverterManager:
 
     def __init__(
         self,
-        neutron_converter_flavor: str = "SDK_25_09",
+        neutron_converter_flavor: str = "SDK_25_12",
     ):
 
         neutron_converter_modules = [
diff --git a/backends/nxp/nxp_backend.py b/backends/nxp/nxp_backend.py
@@ -67,7 +67,7 @@ def neutron_compile_spec(
         Args:
             config: Neutron accelerator configuration, e.g. "imxrt700"
             neutron_converter_flavor: Flavor of the neutron-converter module to use. Neutron-converter module named "
-             "'neutron_converter_SDK_25_09' has flavor 'SDK_25_09'.
+             "'neutron_converter_SDK_25_12' has flavor 'SDK_25_12'.
             extra_flags: Extra flags for the Neutron compiler
             operators_not_to_delegate: List of operators that should not be delegated
             use_neutron_for_format_conversion: If True, the EdgeProgramToIRConverter will insert `Transpose` ops to
diff --git a/backends/nxp/requirements-tests-eiq.txt b/backends/nxp/requirements-tests-eiq.txt
@@ -1,2 +1,2 @@
 --index-url https://eiq.nxp.com/repository
-neutron_converter_SDK_25_09
+neutron_converter_SDK_25_12
diff --git a/backends/nxp/tests/executorch_pipeline.py b/backends/nxp/tests/executorch_pipeline.py
@@ -38,7 +38,7 @@
 from torch.export import export
 from torchao.quantization.pt2e.quantizer import Quantizer
 
-neutron_converter_flavor = "SDK_25_09"
+neutron_converter_flavor = "SDK_25_12"
 neutron_target_spec = NeutronTargetSpec(
     target="imxrt700", neutron_converter_flavor=neutron_converter_flavor
 )
diff --git a/backends/nxp/tests/ir/converter/node_converter/test_cat_converter.py b/backends/nxp/tests/ir/converter/node_converter/test_cat_converter.py
@@ -363,7 +363,7 @@ def test_cat__same_shapes_converter_padding_last_dimension(use_qat):
         CatModule(2),
         [input_shape, input_shape],
         target=target,
-        neutron_converter_flavor="SDK_25_09",
+        neutron_converter_flavor="SDK_25_12",
         custom_delegation_options=CustomDelegationOptions(),
         use_qat=use_qat,
     ).exported_program()
@@ -385,7 +385,7 @@ def test_cat__same_shapes__channels_first__padding_channels(use_qat):
         CatConvModule(1),
         [input_shape, input_shape],
         target=target,
-        neutron_converter_flavor="SDK_25_09",
+        neutron_converter_flavor="SDK_25_12",
         custom_delegation_options=CustomDelegationOptions(),
         use_qat=use_qat,
     ).exported_program()
diff --git a/backends/nxp/tests/test_edge_passes.py b/backends/nxp/tests/test_edge_passes.py
@@ -319,7 +319,7 @@ def test_remove_additional_quantize_dequantize_nodes_pass(self):
 
         edge_program_manager = edge_program_manager.transform(NeutronEdgePassManager())
 
-        compile_spec = generate_neutron_compile_spec(target, "SDK_25_09")
+        compile_spec = generate_neutron_compile_spec(target, "SDK_25_12")
         partitioner = NeutronPartitioner(
             compile_spec, neutron_target_spec, custom_delegation_options
         )
diff --git a/backends/nxp/tests/test_neutron_backend_executor.py b/backends/nxp/tests/test_neutron_backend_executor.py
@@ -1,4 +1,4 @@
-# Copyright 2024 NXP
+# Copyright 2024-2025 NXP
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
@@ -165,7 +165,7 @@ def test_delegating_format_related_transpose_operators__supported_case(mocker):
     # Make sure the output channels (channels for the trailing Transpose), and the last input dimension (channels for
     #  the leading Transpose) are multiples of `num_macs``.
 
-    num_macs = NeutronTargetSpec("imxrt700", "SDK_25_09").get_num_macs()
+    num_macs = NeutronTargetSpec("imxrt700", "SDK_25_12").get_num_macs()
     model = Conv2dModule(
         in_channels=num_macs, out_channels=num_macs, padding=1, stride=1
     )
@@ -222,7 +222,7 @@ def test_delegating_format_related_transpose_operators__supported_case(mocker):
 def test_delegating_format_related_transpose_operators__supported_output__unsupported_input(
     mocker,
 ):
-    num_macs = NeutronTargetSpec("imxrt700", "SDK_25_09").get_num_macs()
+    num_macs = NeutronTargetSpec("imxrt700", "SDK_25_12").get_num_macs()
     model = Conv2dModule(
         in_channels=num_macs,
         out_channels=num_macs,  # The output `Transpose` will be supported.
@@ -278,7 +278,7 @@ def test_delegating_format_related_transpose_operators__supported_output__unsupp
 def test_delegating_format_related_transpose_operators__supported_input__unsupported_output(
     mocker,
 ):
-    num_macs = NeutronTargetSpec("imxrt700", "SDK_25_09").get_num_macs()
+    num_macs = NeutronTargetSpec("imxrt700", "SDK_25_12").get_num_macs()
     model = Conv2dModule(
         in_channels=num_macs,
         out_channels=3,  # The output `Transpose` will NOT be supported.
diff --git a/backends/nxp/tests/test_split_group_convolution.py b/backends/nxp/tests/test_split_group_convolution.py
@@ -56,7 +56,7 @@ def _quantize_and_lower_module(
         edge_compile_config=edge_compile_config,
     )
 
-    compile_spec = generate_neutron_compile_spec(target, "SDK_25_09")
+    compile_spec = generate_neutron_compile_spec(target, "SDK_25_12")
     partitioner = NeutronPartitioner(compile_spec, neutron_target_spec)
     return edge_program_manager.to_backend(partitioner)
 
diff --git a/docs/source/backends/nxp/nxp-overview.md b/docs/source/backends/nxp/nxp-overview.md
@@ -23,11 +23,11 @@ Among currently supported machine learning models are:
 ## Development Requirements
 
 - [MCUXpresso IDE](https://www.nxp.com/design/design-center/software/development-software/mcuxpresso-software-and-tools-/mcuxpresso-integrated-development-environment-ide:MCUXpresso-IDE) or [MCUXpresso Visual Studio Code extension](https://www.nxp.com/design/design-center/software/development-software/mcuxpresso-software-and-tools-/mcuxpresso-for-visual-studio-code:MCUXPRESSO-VSC)
-- [MCUXpresso SDK 25.06](https://mcuxpresso.nxp.com/mcuxsdk/25.06.00/html/index.html)
-- eIQ Neutron Converter for MCUXPresso SDK 25.06, what you can download from eIQ PyPI: 
+- [MCUXpresso SDK 25.12](https://mcuxpresso.nxp.com/mcuxsdk/25.12.00/html/index.html)
+- eIQ Neutron Converter for MCUXPresso SDK 25.12, what you can download from eIQ PyPI: 
 
 ```commandline
-$ pip install --index-url https://eiq.nxp.com/repository neutron_converter_SDK_25_06
+$ pip install --index-url https://eiq.nxp.com/repository neutron_converter_SDK_25_12
 ```
 
 Instead of manually installing requirements, except MCUXpresso IDE and SDK, you can use the setup script: 
diff --git a/docs/source/backends/nxp/nxp-partitioner.rst b/docs/source/backends/nxp/nxp-partitioner.rst
@@ -16,7 +16,7 @@ To generate the Compile Spec for Neutron backend, you can use the `generate_neut
 Following fields can be set:
 
 * `config` - NXP platform defining the Neutron NPU configuration, e.g. "imxrt700".
-* `neutron_converter_flavor` - Flavor of the neutron-converter module to use. Neutron-converter module named neutron_converter_SDK_25_06' has flavor 'SDK_25_06'. You shall set the flavour to the MCUXpresso SDK version you will use.
+* `neutron_converter_flavor` - Flavor of the neutron-converter module to use. Neutron-converter module named neutron_converter_SDK_25_12' has flavor 'SDK_25_12'. You shall set the flavour to the MCUXpresso SDK version you will use.
 * `extra_flags` - Extra flags for the Neutron compiler.
 * `operators_not_to_delegate` - List of operators that will not be delegated.
 
diff --git a/docs/source/backends/nxp/nxp-quantization.md b/docs/source/backends/nxp/nxp-quantization.md
@@ -64,7 +64,7 @@ from torchao.quantization.pt2e.quantize_pt2e import convert_pt2e, prepare_pt2e
 model = models.mobilenetv2.mobilenet_v2(weights=MobileNet_V2_Weights.DEFAULT).eval()
 sample_inputs = (torch.randn(1, 3, 224, 224), )
 
-target_spec = NeutronTargetSpec(target="imxrt700", converter_flavor="SDK_25_09")
+target_spec = NeutronTargetSpec(target="imxrt700", converter_flavor="SDK_25_12")
 quantizer = NeutronQuantizer(neutron_target_spec) # (1)
 
 training_ep = torch.export.export(model, sample_inputs).module() # (2)
@@ -78,7 +78,7 @@ quantized_model = convert_pt2e(prepared_model) # (5)
 compile_spec = generate_neutron_compile_spec(
     "imxrt700",
     operators_not_to_delegate=None,
-    neutron_converter_flavor="SDK_25_06",
+    neutron_converter_flavor="SDK_25_12",
 )
 
 et_program = to_edge_transform_and_lower( # (6)
@@ -95,7 +95,7 @@ from executorch.backends.nxp.quantizer.utils import calibrate_and_quantize
 
 ...
 
-target_spec = NeutronTargetSpec(target="imxrt700", converter_flavor="SDK_25_09")
+target_spec = NeutronTargetSpec(target="imxrt700", converter_flavor="SDK_25_12")
 quantized_graph_module = calibrate_and_quantize(
     aten_model,
     calibration_inputs,
diff --git a/examples/nxp/README.md b/examples/nxp/README.md
@@ -36,11 +36,11 @@ The steps are expected to be executed from the `executorch` root folder.
 1. Run the `aot_neutron_compile.py` example with the `cifar10` model 
     ```commandline
     $ python -m examples.nxp.aot_neutron_compile --quantize \
-        --delegate --neutron_converter_flavor SDK_25_09 -m cifar10 
+        --delegate --neutron_converter_flavor SDK_25_12 -m cifar10 
     ```
 
 2. It will generate you `cifar10_nxp_delegate.pte` file which can be used with the MCUXpresso SDK `cifarnet_example` 
 project, presented [here](https://mcuxpresso.nxp.com/mcuxsdk/latest/html/middleware/eiq/executorch/docs/nxp/topics/example_applications.html#how-to-build-and-run-executorch-cifarnet-example).
 This project will guide you through the process of deploying your PTE model to the device.
 To get the MCUXpresso SDK follow this [guide](https://mcuxpresso.nxp.com/mcuxsdk/latest/html/middleware/eiq/executorch/docs/nxp/topics/getting_mcuxpresso.html),
-use the MCUXpresso SDK v25.09.00. 
+use the MCUXpresso SDK v25.12.00. 
diff --git a/examples/nxp/aot_neutron_compile.py b/examples/nxp/aot_neutron_compile.py
@@ -137,9 +137,9 @@ def get_model_and_inputs_from_name(model_name: str):
         "-c",
         "--neutron_converter_flavor",
         required=False,
-        default="SDK_25_09",
+        default="SDK_25_12",
         help="Flavor of installed neutron-converter module. Neutron-converter module named "
-        "'neutron_converter_SDK_25_09' has flavor 'SDK_25_09'.",
+        "'neutron_converter_SDK_25_12' has flavor 'SDK_25_12'.",
     )
     parser.add_argument(
         "-q",
diff --git a/examples/nxp/run_aot_example.sh b/examples/nxp/run_aot_example.sh
@@ -13,6 +13,6 @@ cd $EXECUTORCH_DIR
 
 # Run the AoT example
 python -m examples.nxp.aot_neutron_compile --quantize \
-    --delegate --neutron_converter_flavor SDK_25_09 -m ${MODEL}
+    --delegate --neutron_converter_flavor SDK_25_12 -m ${MODEL}
 # verify file exists
 test -f ${MODEL}_nxp_delegate.pte
diff --git a/examples/nxp/setup.sh b/examples/nxp/setup.sh
@@ -7,7 +7,7 @@
 set -u
 
 # Install neutron-converter
-pip install --index-url https://eiq.nxp.com/repository neutron_converter_SDK_25_09
+pip install --index-url https://eiq.nxp.com/repository neutron_converter_SDK_25_12
 
 # Get the directory of the current script
 SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"

Original file line number	Diff line number	Diff line change
`@@ -1,2 +1,2 @@`
`1`	`1`	`--index-url https://eiq.nxp.com/repository`
`2`		`-neutron_converter_SDK_25_09`
	`2`	`+neutron_converter_SDK_25_12`
Original file line number	Diff line number	Diff line change
`@@ -38,7 +38,7 @@`
`38`	`38`	`from torch.export import export`
`39`	`39`	`from torchao.quantization.pt2e.quantizer import Quantizer`
`40`	`40`
`41`		`-neutron_converter_flavor = "SDK_25_09"`
	`41`	`+neutron_converter_flavor = "SDK_25_12"`
`42`	`42`	`neutron_target_spec = NeutronTargetSpec(`
`43`	`43`	`target="imxrt700", neutron_converter_flavor=neutron_converter_flavor`
`44`	`44`	`)`
Original file line number	Diff line number	Diff line change
`@@ -319,7 +319,7 @@ def test_remove_additional_quantize_dequantize_nodes_pass(self):`
`319`	`319`
`320`	`320`	`edge_program_manager = edge_program_manager.transform(NeutronEdgePassManager())`
`321`	`321`
`322`		`- compile_spec = generate_neutron_compile_spec(target, "SDK_25_09")`
	`322`	`+ compile_spec = generate_neutron_compile_spec(target, "SDK_25_12")`
`323`	`323`	`partitioner = NeutronPartitioner(`
`324`	`324`	`compile_spec, neutron_target_spec, custom_delegation_options`
`325`	`325`	`)`
Original file line number	Diff line number	Diff line change
`@@ -56,7 +56,7 @@ def _quantize_and_lower_module(`
`56`	`56`	`edge_compile_config=edge_compile_config,`
`57`	`57`	`)`
`58`	`58`
`59`		`- compile_spec = generate_neutron_compile_spec(target, "SDK_25_09")`
	`59`	`+ compile_spec = generate_neutron_compile_spec(target, "SDK_25_12")`
`60`	`60`	`partitioner = NeutronPartitioner(compile_spec, neutron_target_spec)`
`61`	`61`	`return edge_program_manager.to_backend(partitioner)`
`62`	`62`