diff --git a/tensorflow/lite/micro/benchmarks/README.md b/tensorflow/lite/micro/benchmarks/README.md
index 1031a586de8..390b27a8b03 100644
--- a/tensorflow/lite/micro/benchmarks/README.md
+++ b/tensorflow/lite/micro/benchmarks/README.md
@@ -82,17 +82,17 @@ downloaded model will be optimized for Ethos-U. For more info see:
 To run the keyword benchmark on FVP:
 
 ```
-make -j -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 run_keyword_benchmark
+make -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 run_keyword_benchmark
 ```
 
 To run the person detection benchmark on FVP:
 
 ```
-make -j -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 run_person_detection_benchmark
+make -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 run_person_detection_benchmark
 ```
 
 To run the person detection benchmark on FVP with Ethos-U:
 
 ```
-make -j -f tensorflow/lite/micro/tools/make/Makefile CO_PROCESSOR=ethos_u TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 run_person_detection_benchmark
+make -f tensorflow/lite/micro/tools/make/Makefile CO_PROCESSOR=ethos_u TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 run_person_detection_benchmark
 ```
diff --git a/tensorflow/lite/micro/cortex_m_corstone_300/README.md b/tensorflow/lite/micro/cortex_m_corstone_300/README.md
index 94935ac6bbe..663f63647de 100644
--- a/tensorflow/lite/micro/cortex_m_corstone_300/README.md
+++ b/tensorflow/lite/micro/cortex_m_corstone_300/README.md
@@ -37,12 +37,12 @@ compatible. This means one could run code compiled for e.g. a Cortex-M7.
 Some examples:
 
 ```
-make -j -f tensorflow/lite/micro/tools/make/Makefile CO_PROCESSOR=ethos_u TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 test_network_tester_test
-make -j -f tensorflow/lite/micro/tools/make/Makefile OPTIMIZED_KERNEL_DIR=cmsis_nn TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 test_network_tester_test
-make -j -f tensorflow/lite/micro/tools/make/Makefile CO_PROCESSOR=ethos_u OPTIMIZED_KERNEL_DIR=cmsis_nn TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 test_network_tester_test
-make -j -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 test_network_tester_test
-make -j -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 test_kernel_fully_connected_test
-make -j -f tensorflow/lite/micro/tools/make/Makefile OPTIMIZED_KERNEL_DIR=cmsis_nn TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m7+fp test_kernel_fully_connected_test
-make -j -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m3 test_kernel_fully_connected_test
-make -j -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 BUILD_TYPE=release_with_logs TOOLCHAIN=armclang test_network_tester_test
+make -f tensorflow/lite/micro/tools/make/Makefile CO_PROCESSOR=ethos_u TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 test_network_tester_test
+make -f tensorflow/lite/micro/tools/make/Makefile OPTIMIZED_KERNEL_DIR=cmsis_nn TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 test_network_tester_test
+make -f tensorflow/lite/micro/tools/make/Makefile CO_PROCESSOR=ethos_u OPTIMIZED_KERNEL_DIR=cmsis_nn TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 test_network_tester_test
+make -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 test_network_tester_test
+make -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 test_kernel_fully_connected_test
+make -f tensorflow/lite/micro/tools/make/Makefile OPTIMIZED_KERNEL_DIR=cmsis_nn TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m7+fp test_kernel_fully_connected_test
+make -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m3 test_kernel_fully_connected_test
+make -f tensorflow/lite/micro/tools/make/Makefile TARGET=cortex_m_corstone_300 TARGET_ARCH=cortex-m55 BUILD_TYPE=release_with_logs TOOLCHAIN=armclang test_network_tester_test
 ```
diff --git a/tensorflow/lite/micro/tools/gen_micro_mutable_op_resolver/README.md b/tensorflow/lite/micro/tools/gen_micro_mutable_op_resolver/README.md
index 95a0c43a517..1837995ba37 100644
--- a/tensorflow/lite/micro/tools/gen_micro_mutable_op_resolver/README.md
+++ b/tensorflow/lite/micro/tools/gen_micro_mutable_op_resolver/README.md
@@ -4,6 +4,8 @@ The MicroMutableOpResolver includes the operators explictly specified in source
 This generally requires manually finding out which operators are used in the model through the use of a visualization tool, which may be impractical in some cases.
 This script will automatically generate a MicroMutableOpResolver with only the used operators for a given model or set of models.
 
+Note: Check ci/Dockerfile.micro for supported python version.
+
 ## How to run
 
 bazel run tensorflow/lite/micro/tools/gen_micro_mutable_op_resolver:generate_micro_mutable_op_resolver_from_model -- \