linux-dpdk: validation: ml: add validation tests

Add validation tests for the new mldev based ML implementation.

Signed-off-by: Jere Leppänen <[email protected]>

platform/linux-dpdk/m4/configure.m4

@@ -117,5 +117,6 @@ AC_CONFIG_FILES([platform/linux-dpdk/Makefile
 		 platform/linux-dpdk/test/example/switch/Makefile
 		 platform/linux-dpdk/test/performance/Makefile
 		 platform/linux-dpdk/test/performance/dmafwd/Makefile
+		 platform/linux-dpdk/test/validation/api/ml/Makefile
 		 platform/linux-dpdk/test/validation/api/pktio/Makefile])
 ])

platform/linux-dpdk/test/Makefile.am

@@ -18,6 +18,11 @@ test_SCRIPTS = $(dist_check_SCRIPTS)
 SUBDIRS += validation/api/pktio \
 	   example \
 	   performance
+
+if WITH_ML
+SUBDIRS += validation/api/ml
+endif
+
 else
 #performance tests refer to pktio_env
 if test_perf

platform/linux-dpdk/test/validation/api/ml/.gitignore

@@ -0,0 +1,2 @@
+ml_dpdk
+conv.bin

platform/linux-dpdk/test/validation/api/ml/Makefile.am

@@ -0,0 +1,33 @@
+include ../Makefile.inc
+
+test_PROGRAMS = ml_dpdk
+ml_dpdk_SOURCES = ml_dpdk.c
+
+dist_check_SCRIPTS = ml_dpdk.sh
+
+test_SCRIPTS = $(dist_check_SCRIPTS)
+
+TESTS = $(test_SCRIPTS)
+
+EXTRA_DIST = conv_gen.py conv.onnx
+
+# If building out-of-tree, make check will not copy the scripts and data to the
+# $(builddir) assuming that all commands are run locally. However this prevents
+# running tests on a remote target using LOG_COMPILER.
+# So copy all script and data files explicitly here.
+all-local:
+	if [ "x$(srcdir)" != "x$(builddir)" ]; then \
+		for f in $(EXTRA_DIST); do \
+			if [ -e $(srcdir)/$$f ]; then \
+				mkdir -p $(builddir)/$$(dirname $$f); \
+				cp -f $(srcdir)/$$f $(builddir)/$$f; \
+			fi \
+		done \
+	fi
+
+clean-local:
+	if [ "x$(srcdir)" != "x$(builddir)" ]; then \
+		for f in $(EXTRA_DIST); do \
+			rm -f $(builddir)/$$f; \
+		done \
+	fi

platform/linux-dpdk/test/validation/api/ml/conv_gen.py

@@ -0,0 +1,34 @@
+# SPDX-License-Identifier: BSD-3-Clause
+# Copyright (c) 2024 Nokia
+#
+
+import onnx
+from onnx import helper
+from onnx import TensorProto
+
+graph = helper.make_graph(
+    [  # nodes
+        helper.make_node("Conv", ["X", "W"], ["Y"], "Conv Node"),
+    ],
+    "Test Graph",  # name
+    [  # inputs
+        helper.make_tensor_value_info('X', TensorProto.FLOAT, [1, 1, 1, 2]),
+    ],
+    [  # outputs
+        helper.make_tensor_value_info('Y', TensorProto.FLOAT, [1, 1, 1, 2]),
+    ],
+    [  # initializer
+        helper.make_tensor('W', TensorProto.FLOAT, [1, 1, 1, 1], [2.0]),
+    ],
+)
+
+model = helper.make_model(
+    graph,
+    opset_imports=[helper.make_opsetid("", 14)],
+    producer_name='ODP validation tests',
+    model_version=1,
+    doc_string="output = 2 * input",
+    ir_version = 8
+)
+
+onnx.save(model, 'conv.onnx')

platform/linux-dpdk/test/validation/api/ml/conv_gen.sh

@@ -0,0 +1,17 @@
+#!/bin/sh -ex
+#
+# SPDX-License-Identifier: BSD-3-Clause
+# Copyright (c) 2024 Nokia
+
+#
+# This script requires the onnx python module. The mrvl-mlc and mlModel tools
+# are expected to be in PATH. These tools are x86-64 binaries, so this script
+# must be run on an x86-64 machine. However, the test can only be run on a
+# machine equipped with the Marvell machine learning inference processor (MLIP).
+#
+
+python ./conv_gen.py
+mrvl-mlc conv.onnx conv --num_tiles=1 --batch=1
+mv bin_conv/conv.bin .
+rm -rf bin_conv compiler_dir profile
+mlModel -M -m conv.bin