Radix/zml/aio.zig

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const asynk = @import("async");
const builtin = @import("builtin");
const c = @import("c");
const std = @import("std");
const stdx = @import("stdx");
const zml = @import("zml.zig");
const posix = @import("posix.zig");
pub const gguf = @import("aio/gguf.zig");
pub const nemo = @import("aio/nemo.zig");
pub const safetensors = @import("aio/safetensors.zig");
pub const tinyllama = @import("aio/tinyllama.zig");
pub const torch = @import("aio/torch.zig");
pub const yaml = @import("aio/yaml.zig");
pub const log = std.log.scoped(.@"zml/aio");
const HostBuffer = @import("hostbuffer.zig").HostBuffer;
test {
std.testing.refAllDecls(@This());
std.testing.refAllDecls(gguf);
std.testing.refAllDecls(nemo);
std.testing.refAllDecls(safetensors);
std.testing.refAllDecls(torch);
std.testing.refAllDecls(yaml);
}
/// Detects the format of the model file (base on filename) and open it.
pub fn detectFormatAndOpen(allocator: std.mem.Allocator, model_path: []const u8) !BufferStore {
return if (std.mem.endsWith(u8, model_path, ".safetensors"))
try safetensors.open(allocator, model_path)
else if (std.mem.endsWith(u8, model_path, ".safetensors.index.json"))
try safetensors.open(allocator, model_path)
else if (std.mem.endsWith(u8, model_path, ".gguf"))
try gguf.open(allocator, model_path)
else if (std.mem.endsWith(u8, model_path, ".pt"))
try torch.open(allocator, model_path)
else if (std.mem.endsWith(u8, model_path, ".tinyllama"))
try tinyllama.open(allocator, model_path)
else {
std.debug.panic("File extension not recognized: {s}", .{model_path});
};
}
/// Creates a Model struct with tensor shapes read from the given BufferStore.
/// The result can be used to pass to `compileModel`.
///
/// * The `Tensor` field `Model.a.b` will be populated with a `Tensor`
/// whose shape is read from the "a.b" tensor.
/// * If `Model` contains a list of layers, then the field:
/// `Model.layers[2].a.b` will be populated from the "layers.2.a.b" tensor.
pub fn populateModel(comptime Model: type, allocator: std.mem.Allocator, buffer_store: BufferStore) !Model {
return populateModelWithPrefix(Model, allocator, buffer_store, "");
}
/// Creates a Model struct with tensor shapes read from the given TensorStore,
/// using a given prefix.
/// The result can be used to pass to `compileWithModel`.
///
/// * The `Tensor` field `Model.a.b` will be populated with a `Tensor`
/// whose shape is read from the "prefix.a.b" tensor.
/// * If `Model` contains a list of layers, then the field:
/// `Model.layers[2].a.b` will be populated from the "prefix.layers.2.a.b" tensor.
pub fn populateModelWithPrefix(comptime Model: type, allocator: std.mem.Allocator, store: BufferStore, prefix: []const u8) !Model {
var model: Model = undefined;
var prefix_builder: PrefixBuilder = .{};
try prefix_builder.push(allocator, prefix);
defer prefix_builder.deinit(allocator);
const unique_id = zml.Tensor._reserveIdRange(@intCast(store.buffers.count()));
const ok = _populateStruct(allocator, &prefix_builder, unique_id, store, &model, true) catch |err| {
std.debug.panic("Can't populate model of type {s}: {s}", .{ @typeName(type), @errorName(err) });
};
if (!ok) return error.TensorNotFound;
return model;
}
/// A struct containing all the buffers and metadata found in a model file.
pub const BufferStore = struct {
pub const Buffers = std.StringArrayHashMapUnmanaged(HostBuffer);
pub const Metadatas = std.StringArrayHashMapUnmanaged(Metadata);
arena: std.heap.ArenaAllocator,
files: []MemoryMappedFile = &.{},
buffers: Buffers = .{},
_metadata: Metadatas = .{},
/// Create an empty BufferStore. Takes owneship of the given files.
pub fn init(allocator: std.mem.Allocator, files: []const MemoryMappedFile) error{OutOfMemory}!BufferStore {
var self: zml.aio.BufferStore = .{
.arena = std.heap.ArenaAllocator.init(allocator),
};
self.files = try self.arena.allocator().dupe(MemoryMappedFile, files);
return self;
}
pub fn deinit(self: BufferStore) void {
for (self.files) |*file| {
file.deinit();
}
self.arena.deinit();
}
pub fn get(self: BufferStore, key: []const u8) ?HostBuffer {
return self.buffers.get(key);
}
/// Count layers starting with the given prefix.
pub fn countLayers(self: BufferStore, prefix: []const u8) usize {
// Note: This is kinda inefficient
const digit_start_index = prefix.len + 1;
var it = self.buffers.iterator();
var maybe_max_index: ?usize = null;
while (it.next()) |entry| {
if (!std.mem.startsWith(u8, entry.key_ptr.*, prefix)) continue;
const next_dot_index = std.mem.indexOfScalarPos(u8, entry.key_ptr.*, digit_start_index, '.') orelse entry.key_ptr.len;
const index = std.fmt.parseInt(usize, entry.key_ptr.*[digit_start_index..next_dot_index], 10) catch continue;
if (maybe_max_index) |*max_index| {
max_index.* = @max(max_index.*, index);
} else {
maybe_max_index = index;
}
}
return if (maybe_max_index) |index| index + 1 else 0;
}
pub fn metadata(self: BufferStore, key: []const u8, comptime tag: std.meta.FieldEnum(Metadata)) ?std.meta.FieldType(Metadata, tag) {
const wrapped_value = self._metadata.get(key) orelse return null;
if (wrapped_value != tag) {
zml.log.err("Tried to interpret metadata '{s}' as {}, but was of type {}", .{ key, tag, wrapped_value });
@panic("invalid metadata type");
}
return @field(wrapped_value, @tagName(tag));
}
pub fn metadataSlice(self: BufferStore, key: []const u8, comptime tag: Metadata.ItemType) ?[]const tag.toZigType() {
const wrapped_value = self._metadata.get(key) orelse return null;
const true_tag = std.meta.stringToEnum(std.meta.FieldEnum(Metadata), @tagName(tag)).?;
if (wrapped_value == true_tag) {
return @field(wrapped_value, "array_" ++ @tagName(tag));
}
return null;
}
};
pub const Metadata = union(enum) {
null: void,
int: i64,
float: f64,
bool: bool,
string: []const u8,
array_bool: []const bool,
array_int: []const i64,
array_float: []const f64,
array_string: []const []const u8,
pub const ItemType = enum {
int,
float,
bool,
string,
pub fn toZigType(comptime kind: ItemType) type {
return switch (kind) {
.int => i64,
.float => f64,
.bool => bool,
.string => []const u8,
};
}
};
pub fn wrap(x: anytype) Metadata {
return switch (@TypeOf(x)) {
inline u8, i8, u16, i16, u32, i32, u64, i64 => .{ .int = @intCast(x) },
inline f16, f32, f64 => .{ .float = @floatCast(x) },
bool => .{ .bool = x },
[]const u8 => .{ .string = x },
else => @panic("Unsupported type for zml.aio.Value: " ++ @typeName(@TypeOf(x))),
};
}
pub fn copySlice(allocator: std.mem.Allocator, any_slice: anytype) !Metadata {
return switch (@TypeOf(any_slice[0])) {
inline u8, i8, u16, i16, u32, i32, u64, i64 => {
const res = try allocator.alloc(i64, any_slice.len);
for (res, any_slice) |*r, val| r.* = @intCast(val);
return .{ .array_int = res };
},
inline f16, f32, f64 => {
const res = try allocator.alloc(f64, any_slice.len);
for (res, any_slice) |*r, val| r.* = @floatCast(val);
return .{ .array_float = res };
},
bool => .{ .array_bool = try allocator.dupe(bool, any_slice) },
[]const u8 => .{ .array_string = try allocator.dupe([]const u8, @alignCast(any_slice)) },
else => @panic("Unsupported type for zml.aio.Value: " ++ @typeName(@TypeOf(any_slice))),
};
}
pub fn format(
self: Metadata,
comptime fmt: []const u8,
options: std.fmt.FormatOptions,
writer: anytype,
) !void {
_ = fmt;
_ = options;
switch (self) {
.null => _ = try writer.write("null"),
inline .bool, .array_bool => |b| try writer.print("{any}", .{b}),
inline else => |v| try writer.print("{d}", .{v}),
}
}
};
/// A file containing contiguous/non-contiguous buffers, that can be read with mmap
/// (assumes contiguous if `strides` is `null`).
/// This struct is meant to be wrapped into a format specific struct, like io.gguf.File.
pub const MemoryMappedFile = struct {
/// underlying file handle
file: asynk.File,
data: []align(std.heap.page_size_min) const u8,
data_offset: u64 = 0,
pub fn init(file: asynk.File) !MemoryMappedFile {
const data_len: usize = (try file.stat()).size;
const data_ = try asynk.callBlocking(std.posix.mmap, .{
null,
data_len,
std.posix.PROT.READ,
std.posix.system.MAP{ .TYPE = .PRIVATE },
file.handle(),
0,
});
try asynk.callBlocking(posix.madvise, .{
data_.ptr,
@as(usize, @intCast(data_.len)),
@as(u32, @intCast(c.MADV_SEQUENTIAL)),
});
return .{
.file = file,
.data = data_,
};
}
pub fn mappedSlice(self: MemoryMappedFile, start: usize, len: usize) []const u8 {
return self.data[self.data_offset + start ..][0..len];
}
pub fn deinit(self: *MemoryMappedFile) void {
std.posix.munmap(self.data);
self.file.close() catch @panic("failed to close file");
self.* = undefined;
}
};
/// Helper handling prefix building.
///
/// This allows to easily push/pop prefixes and handles the generation of the string with the correct format.
const PrefixBuilder = struct {
/// Stores the computed prefix.
data: std.ArrayListUnmanaged(u8) = .{},
/// Stack storing the size of the intermediary prefix.
subprefixes: std.ArrayListUnmanaged(u32) = .{},
pub fn deinit(self: *PrefixBuilder, allocator: std.mem.Allocator) void {
self.data.deinit(allocator);
self.subprefixes.deinit(allocator);
}
pub fn push(self: *PrefixBuilder, allocator: std.mem.Allocator, prefix: []const u8) !void {
const old_len: u32 = @intCast(self.data.items.len);
try self.subprefixes.append(allocator, old_len);
errdefer _ = self.subprefixes.pop();
if (old_len == 0) {
try self.data.appendSlice(allocator, prefix);
} else {
try self.data.ensureUnusedCapacity(allocator, prefix.len + 1);
self.data.appendAssumeCapacity('.');
self.data.appendSliceAssumeCapacity(prefix);
}
}
pub fn pushDigit(self: *PrefixBuilder, allocator: std.mem.Allocator, idx: usize) !void {
const old_len: u32 = @intCast(self.data.items.len);
try self.subprefixes.append(allocator, old_len);
errdefer _ = self.subprefixes.pop();
try self.data.ensureUnusedCapacity(allocator, 16);
if (old_len > 0) {
self.data.appendAssumeCapacity('.');
}
try self.data.writer(allocator).print("{d}", .{idx});
}
pub fn pop(self: *PrefixBuilder) void {
const last_prefix_len = self.subprefixes.pop() orelse unreachable;
self.data.shrinkRetainingCapacity(last_prefix_len);
}
};
fn _populateStruct(
allocator: std.mem.Allocator,
prefix_builder: *PrefixBuilder,
unique_id: u64,
buffer_store: BufferStore,
obj: anytype,
required: bool,
) !bool {
const err_msg = "_populateStruct must be called with a pointer to type. Received ";
const type_info, const T = switch (@typeInfo(@TypeOf(obj))) {
.pointer => |ptr_info| switch (ptr_info.size) {
.one => .{ @typeInfo(ptr_info.child), ptr_info.child },
else => @compileError(err_msg ++ @typeName(@TypeOf(obj))),
},
else => @compileError(err_msg ++ @typeName(@TypeOf(obj))),
};
const prefix = prefix_builder.data.items;
if (T == zml.Tensor) {
return if (buffer_store.buffers.getIndex(prefix)) |entry_idx| {
const buffer = buffer_store.get(prefix).?;
obj.* = zml.Tensor{
._shape = buffer.shape(),
._id = .{ .buffer_id = unique_id + entry_idx },
._donation = .input_buffer,
};
return true;
} else {
if (required) {
log.err("Tensor not found: {s} ({d})", .{ prefix, buffer_store.buffers.count() });
}
return false;
};
}
return switch (type_info) {
.pointer => |ptr_info| {
if (ptr_info.size == .slice) {
obj.* = &.{};
const len = buffer_store.countLayers(prefix);
if (len > 0) {
obj.* = try allocator.alloc(ptr_info.child, len);
for (obj.*, 0..) |*value, i| {
try prefix_builder.pushDigit(allocator, i);
defer prefix_builder.pop();
const found = try _populateStruct(allocator, prefix_builder, unique_id, buffer_store, value, required);
if (!found) {
log.err("Not able to load {s} as {s}", .{ prefix_builder.data.items, @typeName(ptr_info.child) });
return false;
}
}
} else if (required) {
log.warn("No layer found at {s}", .{prefix});
}
return true;
} else {
log.err("{s} - {s}: {s} type not supported", .{ @src().fn_name, prefix, @typeName(T) });
return false;
}
},
.array => |arr_info| {
for (obj, 0..) |*value, i| {
try prefix_builder.pushDigit(allocator, i);
defer prefix_builder.pop();
const found = try _populateStruct(allocator, prefix_builder, unique_id, buffer_store, value, required);
if (!found) {
log.err("Not able to load {s} as {s}", .{ prefix_builder.data.items, @typeName(arr_info.child) });
return false;
}
}
return true;
},
.@"struct" => |struct_info| {
var partial_struct = false;
inline for (struct_info.fields) |field| {
if (field.is_comptime or @sizeOf(field.type) == 0) continue;
try prefix_builder.push(allocator, field.name);
defer prefix_builder.pop();
var has_default = false;
if (field.default_value_ptr) |_| has_default = true;
const field_found = try _populateStruct(allocator, prefix_builder, unique_id, buffer_store, &@field(obj, field.name), required and !has_default);
partial_struct = partial_struct or field_found;
if (!field_found) {
if (field.default_value_ptr) |v| {
@field(obj, field.name) = @as(*const field.type, @alignCast(@ptrCast(v))).*;
} else {
if (partial_struct) {
log.warn("Incomplete metadata '{0s}': {1s}. Missing field: '{2s}'. '{0s}' will be ignored.", .{ prefix, @typeName(T), field.name });
obj.* = undefined;
return false;
}
return false;
}
}
}
return true;
},
.optional => |opt_info| {
obj.* = @as(opt_info.child, undefined);
const found = try _populateStruct(allocator, prefix_builder, unique_id, buffer_store, &(obj.*.?), false);
if (!found) obj.* = null;
return true;
},
.int => {
obj.* = undefined;
return true;
},
.float => {
obj.* = undefined;
return true;
},
.void => true,
.@"union" => true,
.bool => {
obj.* = undefined;
return true;
},
else => if (required) {
log.err("{s}: {s} type not supported", .{ prefix, @typeName(T) });
return error.UnsupportedMetadataType;
} else return false,
};
}
test populateModel {
const Model = struct {
a: zml.Tensor,
b: struct { a: zml.Tensor, b: u32 },
c: []zml.Tensor,
d: []struct { a: zml.Tensor, b: u32 },
e: struct { zml.Tensor, u32, struct { a: u32, b: zml.Tensor, c: void } },
f: ?zml.Tensor,
g: ?zml.Tensor,
// Create a fake HostBuffer, we use the given integer to identify the created buffer.
fn _newHostBuffer(n: u32) zml.HostBuffer {
return .{ ._shape = zml.Shape.init(.{n}, .f16), .data = undefined };
}
};
var arena_state = std.heap.ArenaAllocator.init(std.testing.allocator);
defer arena_state.deinit();
var store: BufferStore = .{ .arena = arena_state };
try store.buffers.ensureUnusedCapacity(arena_state.allocator(), 16);
store.buffers.putAssumeCapacity("a", Model._newHostBuffer(10));
store.buffers.putAssumeCapacity("b.a", Model._newHostBuffer(20));
store.buffers.putAssumeCapacity("c.0", Model._newHostBuffer(30));
store.buffers.putAssumeCapacity("c.1", Model._newHostBuffer(31));
store.buffers.putAssumeCapacity("c.2", Model._newHostBuffer(32));
store.buffers.putAssumeCapacity("d.0.a", Model._newHostBuffer(40));
store.buffers.putAssumeCapacity("d.1.a", Model._newHostBuffer(41));
store.buffers.putAssumeCapacity("d.2.a", Model._newHostBuffer(42));
store.buffers.putAssumeCapacity("e.0", Model._newHostBuffer(50));
store.buffers.putAssumeCapacity("e.2.b", Model._newHostBuffer(51));
store.buffers.putAssumeCapacity("f", Model._newHostBuffer(60));
// no entry for g.
store.buffers.putAssumeCapacity("unused_entry", Model._newHostBuffer(1000));
const model = try populateModel(Model, arena_state.allocator(), store);
try std.testing.expectEqual(10, model.a.dim(0));
try std.testing.expectEqual(20, model.b.a.dim(0));
try std.testing.expectEqual(3, model.c.len);
try std.testing.expectEqual(30, model.c[0].dim(0));
try std.testing.expectEqual(31, model.c[1].dim(0));
try std.testing.expectEqual(32, model.c[2].dim(0));
try std.testing.expectEqual(3, model.d.len);
try std.testing.expectEqual(40, model.d[0].a.dim(0));
try std.testing.expectEqual(41, model.d[1].a.dim(0));
try std.testing.expectEqual(42, model.d[2].a.dim(0));
try std.testing.expectEqual(50, model.e[0].dim(0));
try std.testing.expectEqual(51, model.e[2].b.dim(0));
try std.testing.expectEqual(60, model.f.?.dim(0));
try std.testing.expectEqual(null, model.g);
}
/// Creates a bufferized version of a Model from the given BufferStore. For details about
/// bufferization, see the documentation of Bufferized(T).
///
/// This will represent the weights of the model, loaded on a specific platform.
/// It can be used with a `module.Exe` (a compiled version of the same Model), to make a
/// `module.ExeWithWeights` ready to be called.
///
/// The `init_args` are used to initialize the non Buffer fields, using `Model.init` function.
pub fn loadBuffers(
comptime Model: type,
init_args: anytype,
buffer_store: BufferStore,
allocator: std.mem.Allocator,
platform: zml.Platform,
) !zml.Bufferized(Model) {
var arena_state = std.heap.ArenaAllocator.init(allocator);
defer arena_state.deinit();
const arena = arena_state.allocator();
var model: Model = try zml.aio.populateModel(Model, arena, buffer_store);
// If the Model has a "init" function, call it with the given parameters.
if (@hasDecl(Model, "init")) {
@call(.auto, Model.init, .{&model} ++ init_args);
} else {
stdx.debug.assertComptime(@TypeOf(init_args) == void or @TypeOf(init_args) == @TypeOf(.{}), "Model of type {} has no init function, so `loadBuffers` should be call with init_args set to {{}} (void)", .{Model});
}
return loadModelBuffersWithPrefix(Model, model, buffer_store, allocator, platform, "");
}
/// Creates a bufferized version of a Model from the given BufferStore. For details about
/// bufferization, see the documentation of Bufferized(T).
///
/// This will represent the weights of the model, loaded on a specific platform.
/// It can be used with a `module.Exe` (a compiled version of the same Model), to make a
/// `module.ExeWithWeights` ready to be called.
pub fn loadModelBuffers(
comptime Model: type,
model: Model,
buffer_store: BufferStore,
allocator: std.mem.Allocator,
platform: zml.Platform,
) !zml.Bufferized(Model) {
return try loadModelBuffersWithPrefix(Model, model, buffer_store, allocator, platform, "");
}
/// Creates a bufferized version of a Model from the given BufferStore and the given prefix.
/// For details about bufferization, see the documentation of Bufferized(T).
///
/// This will represent the weights of the model, loaded on a specific platform.
/// It can be used with a `module.Exe` (a compiled version of the same Model), to make a
/// `module.ExeWithWeights` ready to be called.
pub fn loadModelBuffersWithPrefix(
comptime Model: type,
model: Model,
buffer_store: BufferStore,
allocator: std.mem.Allocator,
platform: zml.Platform,
prefix: []const u8,
) !zml.Bufferized(Model) {
// Allocate the bufferized version.
// We copy the shape, and let visitStructAndLoadBuffer write the other fields.
// to write them just afterward.
var res: zml.Bufferized(Model) = undefined;
try zml.meta.mapAlloc(struct {
pub fn initBuffer(_: void, tensor: zml.Tensor) zml.Buffer {
return .{ ._shape = tensor.shape(), ._api = undefined, ._shards = undefined };
}
}.initBuffer, allocator, {}, model, &res);
var prefix_builder: PrefixBuilder = .{};
try prefix_builder.push(allocator, prefix);
defer prefix_builder.deinit(allocator);
try visitStructAndLoadBuffer(allocator, &prefix_builder, buffer_store, &res, platform);
return res;
}
/// Takes a bufferized version of a `model`, ie a mirror struct of the `model`, and deinit all the
/// Buffer found.
pub fn unloadBuffers(model: anytype) void {
zml.meta.visit((struct {
fn cb(_: void, buffer: *zml.Buffer) void {
buffer.deinit();
}
}).cb, {}, model);
}
/// Assists in debuggigng `BufferNotFound` error
/// This is useful when a buffer key is not found and you want to identify possible alternatives (or typos)
fn findSimilarBufferKeys(original_key: []const u8, store: BufferStore, temp_allocator: std.mem.Allocator) void {
const suffixes = [_][]const u8{ "", ".weight", ".bias" };
var shown_keys = std.StringHashMap(void).init(temp_allocator);
defer shown_keys.deinit();
// remove suffix .weight and .bias
var base_key = original_key;
for (suffixes) |suffix| {
if (std.mem.endsWith(u8, original_key, suffix)) {
base_key = original_key[0 .. original_key.len - suffix.len];
break;
}
}
// first test: look for exact matches
var matches: usize = 0;
var it = store.buffers.iterator();
while (it.next()) |entry| {
const key = entry.key_ptr.*;
if (std.mem.startsWith(u8, key, base_key)) {
if (matches == 0) log.warn("Similar buffers found:", .{});
if (!shown_keys.contains(key)) {
log.warn(" - {s}: {}", .{ key, entry.value_ptr.*.shape() });
shown_keys.put(key, {}) catch continue;
matches += 1;
}
}
}
// second test: progressive partial matches
if (matches == 0) {
var components = std.mem.splitScalar(u8, base_key, '.');
while (components.next()) |component| {
matches = 0;
it = store.buffers.iterator();
while (it.next()) |entry| {
const key = entry.key_ptr.*;
if (std.mem.indexOf(u8, key, component) != null and !shown_keys.contains(key)) {
if (matches == 0) log.warn("Partial matches for '{s}':", .{component});
log.warn(" - {s}: {}", .{ key, entry.value_ptr.*.shape() });
shown_keys.put(key, {}) catch continue;
matches += 1;
if (matches >= 5) break;
}
}
if (matches > 0) break;
}
}
}
/// deinit all buffers in the given struct
pub fn awaitAll(buffers: anytype) !void {
// TODO: implement once we have async buffers.
_ = buffers;
}
fn visitStructAndLoadBuffer(allocator: std.mem.Allocator, prefix_builder: *PrefixBuilder, buffer_store: BufferStore, obj: anytype, platform: zml.Platform) !void {
const err_msg = "visitStructAndLoadBuffer must be called with a pointer to type. Received ";
const type_info, const T = switch (@typeInfo(@TypeOf(obj))) {
.pointer => |ptr_info| switch (ptr_info.size) {
.one => .{ @typeInfo(ptr_info.child), ptr_info.child },
else => @compileError(err_msg ++ @typeName(@TypeOf(obj))),
},
else => @compileError(err_msg ++ @typeName(@TypeOf(obj))),
};
const prefix = prefix_builder.data.items;
if (T == zml.Buffer) {
return if (buffer_store.get(prefix)) |host_buffer| {
// obj._shape has been set inside `loadModelBuffersWithPrefix`, before calling us.
var buf_with_metadata = host_buffer;
log.debug("Loading buffer {s} ({})", .{ prefix, obj._shape });
stdx.debug.assert(host_buffer.shape().eql(obj._shape), "loadModelBuffers expects to find the same shapes in the model and in the buffer store, got {} and {} for tensor {s}", .{ obj._shape, host_buffer, prefix });
buf_with_metadata._shape = obj._shape;
obj.* = try zml.Buffer.from(platform, buf_with_metadata);
} else {
log.err("Buffer not found: {s}", .{prefix});
findSimilarBufferKeys(prefix, buffer_store, allocator);
return error.BufferNotFound;
};
} else if (T == zml.Shape) return;
switch (type_info) {
.pointer => |ptr_info| {
if (ptr_info.size == .slice) {
for (obj.*, 0..) |*value, i| {
try prefix_builder.pushDigit(allocator, i);
defer prefix_builder.pop();
try visitStructAndLoadBuffer(allocator, prefix_builder, buffer_store, value, platform);
}
} else stdx.debug.compileError("type not supported by visitStructAndLoadBuffer: {}", .{T});
},
.array => {
for (obj, 0..) |*value, i| {
try prefix_builder.pushDigit(allocator, i);
defer prefix_builder.pop();
try visitStructAndLoadBuffer(allocator, prefix_builder, buffer_store, value, platform);
}
},
.@"struct" => |struct_info| {
inline for (struct_info.fields) |field| {
if (field.is_comptime or @sizeOf(field.type) == 0) continue;
try prefix_builder.push(allocator, field.name);
defer prefix_builder.pop();
try visitStructAndLoadBuffer(allocator, prefix_builder, buffer_store, &@field(obj, field.name), platform);
}
},
.optional => {
if (obj.*) |*obj_val| {
try visitStructAndLoadBuffer(allocator, prefix_builder, buffer_store, obj_val, platform);
}
},
else => {},
}
}