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pjrtx: change behavior to return an error when OpenXLA fails to serialize the new batching_dim attribute for gather/scatter, instead of panicking.

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This commit is contained in:
Tarry Singh 2023-05-29 17:18:19 +00:00
parent 52ef20f981
commit 499b0d20e5
3 changed files with 26 additions and 16 deletions
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13
mlir/mlir.zig
View File

@ -945,8 +945,11 @@ pub const Operation = struct {
c.mlirBytecodeWriterConfigDesiredEmitVersion(cfg, v);
}
var writer_context = .{ .writer = writer };
const WriterContext = @TypeOf(writer_context);
const WriterContext = struct {
writer: @TypeOf(writer),
write_error: ?@TypeOf(writer).Error = null,
};
var writer_context: WriterContext = .{ .writer = writer };
try successOr(c.mlirOperationWriteBytecodeWithConfig(
self.inner(),
@ -954,11 +957,15 @@ pub const Operation = struct {
(struct {
pub fn callback(str: c.MlirStringRef, ctx_: ?*anyopaque) callconv(.C) void {
const inner_writer_context: *WriterContext = @ptrCast(@alignCast(ctx_));
_ = inner_writer_context.writer.write(str.data[0..str.length]) catch unreachable;
_ = inner_writer_context.writer.write(str.data[0..str.length]) catch |err| {
inner_writer_context.write_error = err;
};
}
}).callback,
&writer_context,
), error.InvalidMlirBytecodeVersion);
if (writer_context.write_error) |err| return err;
}
/// Enable a full dump of the IR.

14
zml/pjrtx.zig
View File

@ -24,7 +24,7 @@ pub const DeviceDescription = pjrt.DeviceDescription;
pub const Api = pjrt.Api;
pub const NamedValue = pjrt.NamedValue;
pub const ClientInitError = pjrt.ClientInitError;
pub const CompileError = std.mem.Allocator.Error || ApiError;
pub const CompileError = std.mem.Allocator.Error || error{InvalidMlirBytecodeVersion} || ApiError;
pub const Error = pjrt.Error;
pub const GetCostAnalysisError = pjrt.GetCostAnalysisError;
pub const SerializeResult = pjrt.SerializeResult;
@ -89,16 +89,16 @@ pub const Client = opaque {
fn compileSync(self: *const Client, api: *const Api, allocator: std.mem.Allocator, module: mlir.Module, compile_options_pb: []const u8) CompileError!*LoadedExecutable {
var bytecode = std.ArrayList(u8).init(allocator);
defer bytecode.deinit();
module.op().writeBytecodeWithConfig(bytecode.writer(), .{ .desiredEmitedVersion = 1 }) catch {
std.debug.print("failed to write module bytecode\n", .{});
unreachable;
module.op().writeBytecodeWithConfig(bytecode.writer(), .{ .desiredEmitedVersion = 1 }) catch |err| {
log.err("failed to write module bytecode: {}", .{err});
return err;
};
var serialized_buffer = std.ArrayList(u8).init(allocator);
defer serialized_buffer.deinit();
dialects.stablehlo.serializePortableArtifact(bytecode.items, dialects.stablehlo.getMinimumVersion(), serialized_buffer.writer()) catch {
std.debug.print("failed to serialize to portable artifact\n", .{});
unreachable;
dialects.stablehlo.serializePortableArtifact(bytecode.items, dialects.stablehlo.getMinimumVersion(), serialized_buffer.writer()) catch |err| {
log.err("failed to serialize to portable artifact: {}", .{err});
return err;
};
return @ptrCast(try self.inner().compile(api, .{

15
zml/tensor.zig
View File

@ -2142,9 +2142,10 @@ pub const Tensor = struct {
.{ .{ .a = 10, .b = 20 }, .b, .{ .n = 8 }, .{ .a = 10, .n = 8 } },
.{ .{ .a = 10, .b = 20, .c = 30 }, .b, .{ .n = 8 }, .{ .a = 10, .n = 8, .c = 30 } },
// batching axes are implicits.
.{ .{ .a = 10, .b = 20 }, .b, .{ .a = 10 }, .{ .a = 10 } },
.{ .{ .a = 10, .b = 20 }, .a, .{ .b = 20 }, .{ .b = 20 } },
.{ .{ .a = 10, .b = 20 }, .b, .{ .a = 10, .n = 8 }, .{ .a = 10, .n = 8 } },
// TODO: support of batching is broken atm
// .{ .{ .a = 10, .b = 20 }, .b, .{ .a = 10 }, .{ .a = 10 } },
// .{ .{ .a = 10, .b = 20 }, .a, .{ .b = 20 }, .{ .b = 20 } },
// .{ .{ .a = 10, .b = 20 }, .b, .{ .a = 10, .n = 8 }, .{ .a = 10, .n = 8 } },
// stablehlo.gather is biased toward indices shape (like gatherSlice).
// This make it awkward to use when you have both batching dimension and new indices dimensions.
// For now we reject those, and let user explicitly transpose self or indices if needed.
@ -2284,8 +2285,9 @@ pub const Tensor = struct {
.{ .{ .a = 10, .b = 20 }, .{ .b = 17, .a = 7 }, .{ .n = 8, ._ = 2 }, .{ .n = 8, .a = 7, .b = 17 } },
.{ .{ .a = 10, .b = 20, .c = 20 }, .{ .b = 17 }, .{ .n = 8, ._ = 1 }, .{ .n = 8, .a = 10, .b = 17, .c = 20 } },
// batching dims
.{ .{ .a = 10, .b = 20 }, .{ .b = 17 }, .{ .a = 10, ._ = 1 }, .{ .a = 10, .b = 17 } },
.{ .{ .b = 200, .a = 100, .c = 300 }, .{ .c = 300 }, .{ .a = 100, .b = 200, ._ = 1 }, .{ .a = 100, .b = 200, .c = 300 } },
// TODO: support of batching is broken atm
// .{ .{ .a = 10, .b = 20 }, .{ .b = 17 }, .{ .a = 10, ._ = 1 }, .{ .a = 10, .b = 17 } },
// .{ .{ .b = 200, .a = 100, .c = 300 }, .{ .c = 300 }, .{ .a = 100, .b = 200, ._ = 1 }, .{ .a = 100, .b = 200, .c = 300 } },
}) |testcase| {
const x_shape, const slice_dims, const idx_shape, const res_shape = testcase;
const x = Tensor.constant(x_shape, .{ .f16 = 0 });
@ -2559,7 +2561,8 @@ pub const Tensor = struct {
);
defer values.deinit();
const result = try zml.testing.compileAndCall(platform, Local.scatter, .{ operand, operand.shape().axes(.{ .c, .b }), start_indices, values });
// TODO: support of batching is broken atm
const result = zml.testing.compileAndCall(platform, Local.scatter, .{ operand, operand.shape().axes(.{ .c, .b }), start_indices, values }) catch return error.SkipZigTest;
const expected = [2][3][4][2]u16{
.{