ashutosh-arm commented on code in PR #13815:
URL: https://github.com/apache/tvm/pull/13815#discussion_r1086472372


##########
tests/python/relay/aot/corstone300.mk:
##########
@@ -64,7 +64,7 @@ PKG_CFLAGS = ${PKG_COMPILE_OPTS} \
 CMAKE_FLAGS = 
-DCMAKE_TOOLCHAIN_FILE=${TVM_ROOT}/tests/python/contrib/test_ethosu/reference_system/arm-none-eabi-gcc.cmake
 \
        -DCMAKE_SYSTEM_PROCESSOR=${MCPU}
 
-PKG_LDFLAGS = -lm -specs=nosys.specs -static -T ${AOT_TEST_ROOT}/corstone300.ld
+PKG_LDFLAGS = -lm -specs=nosys.specs -static -Wl,--gc-sections -T 
${AOT_TEST_ROOT}/corstone300.ld

Review Comment:
   maybe add a comment why `gc-section` and `fdata-sections` were used for the 
build?



##########
python/tvm/topi/arm_cpu/mprofile/dsp/micro_kernel/multi_channel_convolve.py:
##########
@@ -179,20 +179,26 @@ def _dual_int16_channel_convolve_impl(_tensor_h, 
tensor_w, channels, kernel_h, k
         extern "C"
         #endif
         int32_t {_get_func_name("int16", tensor_w, channels, kernel_h, 
kernel_w, suffix)}(
-            uint32_t *out,
-            uint32_t *tensor,
-            uint32_t *kernel) {{
+            int32_t *out,
+            int16_t *tensor,
+            int16_t *kernel) {{
 
-          uint32_t sum_c0 = 0;
-          uint32_t sum_c1 = 0;
+          int32_t sum_c0 = 0;
+          int32_t sum_c1 = 0;
+
+          int32_t kernel_i32[{kernel_h} * {kernel_w}];
+          memcpy(kernel_i32, kernel, {kernel_h} * {kernel_w} * 4);

Review Comment:
   nit: can we please add `sizeof()` instead of using 4 directly?



##########
python/tvm/topi/arm_cpu/mprofile/dsp/micro_kernel/multi_channel_convolve.py:
##########
@@ -179,20 +179,26 @@ def _dual_int16_channel_convolve_impl(_tensor_h, 
tensor_w, channels, kernel_h, k
         extern "C"
         #endif
         int32_t {_get_func_name("int16", tensor_w, channels, kernel_h, 
kernel_w, suffix)}(
-            uint32_t *out,
-            uint32_t *tensor,
-            uint32_t *kernel) {{
+            int32_t *out,
+            int16_t *tensor,
+            int16_t *kernel) {{
 
-          uint32_t sum_c0 = 0;
-          uint32_t sum_c1 = 0;
+          int32_t sum_c0 = 0;
+          int32_t sum_c1 = 0;
+
+          int32_t kernel_i32[{kernel_h} * {kernel_w}];
+          memcpy(kernel_i32, kernel, {kernel_h} * {kernel_w} * 4);

Review Comment:
   Same applies to the code below where 2 and 4 are used.



##########
python/tvm/topi/arm_cpu/mprofile/dsp/micro_kernel/multi_channel_convolve.py:
##########
@@ -179,20 +179,26 @@ def _dual_int16_channel_convolve_impl(_tensor_h, 
tensor_w, channels, kernel_h, k
         extern "C"
         #endif
         int32_t {_get_func_name("int16", tensor_w, channels, kernel_h, 
kernel_w, suffix)}(
-            uint32_t *out,
-            uint32_t *tensor,
-            uint32_t *kernel) {{
+            int32_t *out,
+            int16_t *tensor,
+            int16_t *kernel) {{
 
-          uint32_t sum_c0 = 0;
-          uint32_t sum_c1 = 0;
+          int32_t sum_c0 = 0;
+          int32_t sum_c1 = 0;
+
+          int32_t kernel_i32[{kernel_h} * {kernel_w}];
+          memcpy(kernel_i32, kernel, {kernel_h} * {kernel_w} * 4);
+
+          int32_t tensor_length = {((kernel_w - 1) * (channels // 2) + 
(kernel_h - 1) * tensor_w * (channels // 2)) + 1};

Review Comment:
   Curious why are braces used in this piece of logic?



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