Skip to content

Fix MIL syntax + M1/M2 support #6

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
imperatormk wants to merge 4 commits into
base: main
Choose a base branch
from
Open

Fix MIL syntax + M1/M2 support #6

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
709b602
Fix MIL syntax for cross-generation ANE compatibility
imperatormk Mar 2, 2026
ef6dce3
fix inmem_peak for M1/M2
imperatormk Mar 2, 2026
0cf13e2
define g_fp16_io in train.m (fixes linker error)
imperatormk Mar 3, 2026
2d2adac
wire up fp16 I/O retry in train.m forward path
imperatormk Mar 3, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 7 additions & 0 deletions .gitignore
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,7 @@
*.o
ane_probe
api_explore
inmem_basic
tiny_train
tiny_train_m1
train_large
61 changes: 44 additions & 17 deletions inmem_peak.m
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@

static mach_timebase_info_data_t g_tb;
static double ticksToMs(uint64_t t) { return (double)t * g_tb.numer / g_tb.denom / 1e6; }
static int g_fp16_io = 0; // M1/M2: cast op unsupported, use fp16 I/O directly

NSData *buildWeightBlob(int ch, int depth) {
NSUInteger wsize = ch * ch * 2;
Expand All @@ -27,28 +28,45 @@

NSString *genMIL(int ch, int sp, int depth) {
NSMutableString *m = [NSMutableString string];
[m appendString:@"program(1.3)\n[buildInfo = dict<string, string>({{\"coremlc-component-MIL\", \"3510.2.1\"}, {\"coremlc-version\", \"3505.4.1\"}, {\"coremltools-component-milinternal\", \"\"}, {\"coremltools-version\", \"9.0\"}})]\n{\n"];
[m appendFormat:@" func main<ios18>(tensor<fp32, [1, %d, 1, %d]> x) {\n", ch, sp];
[m appendString:@" string c_pad_type_0 = const()[name = string(\"c_pad_type_0\"), val = string(\"valid\")];\n"
@" tensor<int32, [2]> c_strides_0 = const()[name = string(\"c_strides_0\"), val = tensor<int32, [2]>([1, 1])];\n"
@" tensor<int32, [4]> c_pad_0 = const()[name = string(\"c_pad_0\"), val = tensor<int32, [4]>([0, 0, 0, 0])];\n"
@" tensor<int32, [2]> c_dilations_0 = const()[name = string(\"c_dilations_0\"), val = tensor<int32, [2]>([1, 1])];\n"
@" int32 c_groups_0 = const()[name = string(\"c_groups_0\"), val = int32(1)];\n"
@" string x_to_fp16_dtype_0 = const()[name = string(\"x_to_fp16_dtype_0\"), val = string(\"fp16\")];\n"];
[m appendFormat:@" tensor<fp16, [1, %d, 1, %d]> x_to_fp16 = cast(dtype = x_to_fp16_dtype_0, x = x)[name = string(\"cast_in\")];\n", ch, sp];
[m appendString:@"program(1.0)\n[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{\"coremlc-version\", \"3505.4.1\"}})]\n{\n"];
if (g_fp16_io) {
// fp16 I/O path — no cast ops (M1/M2 compatible)
[m appendFormat:@" func main<ios16>(tensor<fp16, [1, %d, 1, %d]> x) {\n", ch, sp];
} else {
// fp32 I/O path — cast to/from fp16 internally (M4+ native)
[m appendFormat:@" func main<ios16>(tensor<fp32, [1, %d, 1, %d]> x) {\n", ch, sp];
}
[m appendString:
@" tensor<string, []> c_pad_type_0 = const()[name = tensor<string, []>(\"c_pad_type_0\"), val = tensor<string, []>(\"valid\")];\n"
@" tensor<int32, [2]> c_strides_0 = const()[name = tensor<string, []>(\"c_strides_0\"), val = tensor<int32, [2]>([1, 1])];\n"
@" tensor<int32, [4]> c_pad_0 = const()[name = tensor<string, []>(\"c_pad_0\"), val = tensor<int32, [4]>([0, 0, 0, 0])];\n"
@" tensor<int32, [2]> c_dilations_0 = const()[name = tensor<string, []>(\"c_dilations_0\"), val = tensor<int32, [2]>([1, 1])];\n"
@" tensor<int32, []> c_groups_0 = const()[name = tensor<string, []>(\"c_groups_0\"), val = tensor<int32, []>(1)];\n"];
NSString *prev;
if (g_fp16_io) {
prev = @"x";
} else {
[m appendString:@" tensor<string, []> x_to_fp16_dtype_0 = const()[name = tensor<string, []>(\"x_to_fp16_dtype_0\"), val = tensor<string, []>(\"fp16\")];\n"];
[m appendFormat:@" tensor<fp16, [1, %d, 1, %d]> x_to_fp16 = cast(dtype = x_to_fp16_dtype_0, x = x)[name = tensor<string, []>(\"cast_in\")];\n", ch, sp];
prev = @"x_to_fp16";
}
NSUInteger cs = 64 + ch*ch*2;
NSString *prev = @"x_to_fp16";
for (int i = 0; i < depth; i++) {
[m appendFormat:@" tensor<fp16, [%d, %d, 1, 1]> W%d = const()[name = string(\"W%d\"), val = tensor<fp16, [%d, %d, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(%lu)))];\n",
[m appendFormat:@" tensor<fp16, [%d, %d, 1, 1]> W%d = const()[name = tensor<string, []>(\"W%d\"), val = tensor<fp16, [%d, %d, 1, 1]>(BLOBFILE(path = tensor<string, []>(\"@model_path/weights/weight.bin\"), offset = tensor<uint64, []>(%lu)))];\n",
ch, ch, i, i, ch, ch, (unsigned long)(64 + i*cs)];
NSString *out = [NSString stringWithFormat:@"c%d", i];
[m appendFormat:@" tensor<fp16, [1, %d, 1, %d]> %@ = conv(dilations = c_dilations_0, groups = c_groups_0, pad = c_pad_0, pad_type = c_pad_type_0, strides = c_strides_0, weight = W%d, x = %@)[name = string(\"%@\")];\n",
[m appendFormat:@" tensor<fp16, [1, %d, 1, %d]> %@ = conv(dilations = c_dilations_0, groups = c_groups_0, pad = c_pad_0, pad_type = c_pad_type_0, strides = c_strides_0, weight = W%d, x = %@)[name = tensor<string, []>(\"%@\")];\n",
ch, sp, out, i, prev, out];
prev = out;
}
[m appendString:@" string to_fp32 = const()[name = string(\"to_fp32\"), val = string(\"fp32\")];\n"];
[m appendFormat:@" tensor<fp32, [1, %d, 1, %d]> c = cast(dtype = to_fp32, x = %@)[name = string(\"cast_out\")];\n", ch, sp, prev];
[m appendString:@" } -> (c);\n}\n"];
if (g_fp16_io) {
[m appendFormat:@" tensor<fp16, [1, %d, 1, %d]> c = identity(x = %@)[name = tensor<string, []>(\"out\")];\n", ch, sp, prev];
[m appendString:@" } -> (c);\n}\n"];
} else {
[m appendString:@" tensor<string, []> to_fp32 = const()[name = tensor<string, []>(\"to_fp32\"), val = tensor<string, []>(\"fp32\")];\n"];
[m appendFormat:@" tensor<fp32, [1, %d, 1, %d]> c = cast(dtype = to_fp32, x = %@)[name = tensor<string, []>(\"cast_out\")];\n", ch, sp, prev];
[m appendString:@" } -> (c);\n}\n"];
}
return m;
}

Expand All @@ -68,9 +86,18 @@
[fm createDirectoryAtPath:[td stringByAppendingPathComponent:@"weights"] withIntermediateDirectories:YES attributes:nil error:nil];
[milData writeToFile:[td stringByAppendingPathComponent:@"model.mil"] atomically:YES];
[wb writeToFile:[td stringByAppendingPathComponent:@"weights/weight.bin"] atomically:YES];
if(!((BOOL(*)(id,SEL,unsigned int,id,NSError**))objc_msgSend)(mdl,@selector(compileWithQoS:options:error:),21,@{},&e)){[fm removeItemAtPath:td error:nil];return -3;}
if(!((BOOL(*)(id,SEL,unsigned int,id,NSError**))objc_msgSend)(mdl,@selector(compileWithQoS:options:error:),21,@{},&e)){
[fm removeItemAtPath:td error:nil];
if (!g_fp16_io) {
printf("[ANE] fp32 compile failed, retrying with fp16 I/O (M1/M2 fallback)\n");
g_fp16_io = 1;
return bench(ch, sp, depth);
}
return -3;
}
if(!((BOOL(*)(id,SEL,unsigned int,id,NSError**))objc_msgSend)(mdl,@selector(loadWithQoS:options:error:),21,@{},&e)){[fm removeItemAtPath:td error:nil];return -4;}
NSUInteger bytes=ch*sp*4;
size_t bpe = g_fp16_io ? 2 : 4;
NSUInteger bytes=ch*sp*bpe;
IOSurfaceRef ioI=IOSurfaceCreate((__bridge CFDictionaryRef)@{(id)kIOSurfaceWidth:@(bytes),(id)kIOSurfaceHeight:@1,(id)kIOSurfaceBytesPerElement:@1,(id)kIOSurfaceBytesPerRow:@(bytes),(id)kIOSurfaceAllocSize:@(bytes),(id)kIOSurfacePixelFormat:@0});
IOSurfaceRef ioO=IOSurfaceCreate((__bridge CFDictionaryRef)@{(id)kIOSurfaceWidth:@(bytes),(id)kIOSurfaceHeight:@1,(id)kIOSurfaceBytesPerElement:@1,(id)kIOSurfaceBytesPerRow:@(bytes),(id)kIOSurfaceAllocSize:@(bytes),(id)kIOSurfacePixelFormat:@0});
id wI=((id(*)(Class,SEL,IOSurfaceRef))objc_msgSend)(AIO,@selector(objectWithIOSurface:),ioI);
Expand Down
Loading