Reverts 0e092a7

PiperOrigin-RevId: 618127324

jax/_src/array.py

@@ -34,12 +34,10 @@
 from jax._src import dispatch
 from jax._src import dtypes
 from jax._src import errors
-from jax._src import layout
 from jax._src import profiler
 from jax._src import tree_util
 from jax._src import xla_bridge
 from jax._src.lib import xla_client as xc
-from jax._src.lib import xla_extension as xe
 from jax._src.interpreters import mlir
 from jax._src.interpreters import pxla
 from jax._src.interpreters import xla
@@ -529,18 +527,6 @@ def addressable_shards(self) -> Sequence[Shard]:
       out.append(Shard(_get_device(a), self.sharding, self.shape, a))
     return out
 
-  @property
-  def layout(self):
-    # TODO(yashkatariya): Remove the try;except when pathways supports layouts.
-    try:
-      return layout.SpecifiedLayout(self._pjrt_layout)
-    except xe.XlaRuntimeError as e:
-      msg, *_ = e.args
-      if type(msg) is str and msg.startswith("UNIMPLEMENTED"):
-        return None
-      else:
-        raise
-
   @property
   def global_shards(self) -> Sequence[Shard]:
     """Returns list of all `Shard`s of the Array across all devices.
@@ -651,7 +637,7 @@ def _value(self) -> np.ndarray:
   ArrayImpl = use_cpp_class(xc.ArrayImpl)(ArrayImpl)
 
 
-# explicitly set to be unhashable.
+# explicitly set to be unhashable. Same as what device_array.py does.
 setattr(ArrayImpl, "__hash__", None)
 setattr(ArrayImpl, "__array_priority__", 100)
 

jax/_src/interpreters/mlir.py

@@ -46,7 +46,7 @@
 from jax._src import xla_bridge as xb
 from jax._src.interpreters import partial_eval as pe
 from jax._src.interpreters import xla
-from jax._src.layout import AutoLayout, SpecifiedLayout
+from jax._src.layout import XLACompatibleLayout, LayoutRequest
 from jax._src.lib import xla_client as xc
 from jax._src.lib import xla_extension
 from jax._src.lib import xla_extension_version
@@ -834,10 +834,10 @@ def _to_physical_op_sharding(
   return sharding._to_xla_hlo_sharding(aval.ndim).to_proto()  # type: ignore
 
 
-def _to_xla_layout(layout: SpecifiedLayout | None | AutoLayout) -> str | None:
+def _to_xla_layout(layout: XLACompatibleLayout | None | LayoutRequest) -> str | None:
   if layout is None:
     return "default"
-  if isinstance(layout, AutoLayout):
+  if isinstance(layout, LayoutRequest):
     return "auto"
   return layout._to_xla_layout()
 
@@ -862,8 +862,8 @@ def lower_jaxpr_to_module(
     replicated_args: Sequence[bool] | None = None,
     arg_shardings: Sequence[XLACompatibleSharding | None] | None = None,
     result_shardings: Sequence[XLACompatibleSharding | None] | None = None,
-    in_layouts: Sequence[SpecifiedLayout | None | AutoLayout] | None = None,
-    out_layouts: Sequence[SpecifiedLayout | None | AutoLayout] | None = None,
+    in_layouts: Sequence[XLACompatibleLayout | None | LayoutRequest] | None = None,
+    out_layouts: Sequence[XLACompatibleLayout | None | LayoutRequest] | None = None,
     arg_names: Sequence[str | None] | None = None,
     result_names: Sequence[str | None] | None = None,
     num_replicas: int = 1,

jax/_src/interpreters/pxla.py

@@ -60,7 +60,7 @@
 from jax._src.interpreters import partial_eval as pe
 from jax._src.interpreters import mlir
 from jax._src.interpreters import xla
-from jax._src.layout import SpecifiedLayout, AutoLayout
+from jax._src.layout import XLACompatibleLayout, SpecifiedLayout, LayoutRequest
 from jax._src.lib import xla_client as xc
 from jax._src.lib import xla_extension_version
 from jax._src.lib.mlir import ir
@@ -1985,14 +1985,13 @@ def are_all_shardings_default_mem_kind(da_object, shardings):
       return False
   return True
 
-MaybeLayout = Sequence[Union[SpecifiedLayout, AutoLayout, None]]
+MaybeLayout = Sequence[Union[XLACompatibleLayout, LayoutRequest, None]]
 
 
 class AllArgsInfo(NamedTuple):
   """Avals, shardings, layouts and debug_info for all arguments prior to DCE."""
   in_avals: Sequence[core.ShapedArray]
   in_shardings: Any
-  in_layouts: Any
   debug_info: core.JaxprDebugInfo | None
 
 
@@ -2024,7 +2023,7 @@ def lower_sharding_computation(
   auto_spmd_lowering = check_if_any_auto(
       it.chain.from_iterable([in_shardings, out_shardings]))  # type: ignore
 
-  all_args_info = AllArgsInfo(global_in_avals, in_shardings, in_layouts,
+  all_args_info = AllArgsInfo(global_in_avals, in_shardings,
                               closed_jaxpr.jaxpr.debug_info)
 
   (closed_jaxpr, global_in_avals, global_out_avals, donated_invars,
@@ -2228,6 +2227,8 @@ def lower_mesh_computation(
       out_jaxpr_avals = fun_or_jaxpr.out_avals
       consts = fun_or_jaxpr.consts
 
+  all_args_info = AllArgsInfo(global_in_avals, in_shardings, jaxpr.debug_info)
+
   assert len(out_shardings) == len(out_jaxpr_avals)
   if spmd_lowering:
     global_out_avals = out_jaxpr_avals
@@ -2318,7 +2319,7 @@ def lower_mesh_computation(
       in_layouts=(None,) * len(global_in_avals),
       out_layouts=(None,) * len(global_out_avals),
       shape_poly_state=lowering_result.shape_poly_state,
-      all_args_info=None)
+      all_args_info=all_args_info)
 
 class MeshComputation(stages.XlaLowering):
   _hlo: ir.Module | None
@@ -2598,7 +2599,7 @@ def _get_layouts_from_executable(
     if isinstance(i, SpecifiedLayout):
       if i != x:
         raise AssertionError(
-            f"Unexpected XLA layout override: (XLA) {x} != {i} (User layout)")
+            f"Unexpected XLA layout override: (XLA) {x} != {i} (User sharding)")
       new_in_layouts.append(i)
     else:
       new_in_layouts.append(x)
@@ -2609,7 +2610,7 @@ def _get_layouts_from_executable(
     if isinstance(o, SpecifiedLayout):
       if o != x:
         raise AssertionError(
-            f"Unexpected XLA layout override: (XLA) {x} != {o} (User layout)")
+            f"Unexpected XLA layout override: (XLA) {x} != {o} (User sharding)")
       new_out_layouts.append(o)
     else:
       new_out_layouts.append(x)
@@ -3015,24 +3016,19 @@ def call(self, *args):
       kept_args = [a for i, a in enumerate(args) if i in self._kept_var_idx]
       ref_avals = self.in_avals
       in_shardings = self._in_shardings
-      in_layouts = self._in_layouts
       debug_info = None
     else:
       kept_args = args
       ref_avals = self._all_args_info.in_avals
       iter_in_shardings = iter(self._in_shardings)
       in_shardings = [next(iter_in_shardings) if i in self._kept_var_idx else s
                       for i, s in enumerate(self._all_args_info.in_shardings)]
-      iter_in_layouts = iter(self._in_layouts)
-      in_layouts = [next(iter_in_layouts) if i in self._kept_var_idx else s
-                    for i, s in enumerate(self._all_args_info.in_layouts)]
       debug_info = self._all_args_info.debug_info
 
     arg_avals = map(xla.abstractify, kept_args)
     check_arg_avals_for_call(ref_avals, arg_avals, debug_info)
     # Check the GDA sharding and the input sharding.
-    check_array_xla_sharding_layout_match(kept_args, in_shardings,
-                                          in_layouts, debug_info)
+    check_gda_or_array_xla_sharding_match(kept_args, in_shardings, debug_info)
     return self.unsafe_call(*args)  # pylint: disable=not-callable
 
   def input_shardings(self) -> Sequence[sharding_impls.XLACompatibleSharding]:
@@ -3188,17 +3184,15 @@ def check_device_backend_on_shardings(shardings) -> bool:
   return False
 
 
-def check_array_xla_sharding_layout_match(
+def check_gda_or_array_xla_sharding_match(
     args, in_xla_shardings: Sequence[sharding_impls.XLACompatibleSharding],
-    in_xla_layouts: Sequence[SpecifiedLayout],
     jaxpr_debug_info: core.JaxprDebugInfo | None) -> None:
   from jax._src.array import ArrayImpl
   arg_names = ([''] * len(args) if jaxpr_debug_info is None else
                jaxpr_debug_info.arg_names)
   errors = []
   num_errors = 5
-  for arg, xs, xl, name in safe_zip(args, in_xla_shardings, in_xla_layouts,
-                                    arg_names):
+  for arg, xs, name in safe_zip(args, in_xla_shardings, arg_names):
     if not isinstance(arg, ArrayImpl):
       continue
     if is_unspecified_or_auto(xs):
@@ -3211,47 +3205,27 @@ def check_array_xla_sharding_layout_match(
     # Raise memory kind mismatch error even if the arg is uncommitted.
     if arg.sharding.memory_kind != xs.memory_kind:
       errors.append(
-          ("Got input sharding(s) that compiled object was called with: "
+          "Got input sharding(s) that compiled object was called with: "
           f"{arg.sharding} and sharding(s) the computation was compiled "
-          f"with: {xs} for arg {name} with shape: {arg.aval.str_short()}",
-          'sharding'))
+          f"with: {xs} for arg {name} with shape: {arg.aval.str_short()}")
 
     if (not db_xs and arg._committed and
         not op_shardings.are_op_shardings_equal(
             arg.sharding._to_xla_hlo_sharding(arg.ndim),
             xs._to_xla_hlo_sharding(arg.ndim))):
       errors.append(
-          ("Got input sharding(s) that compiled object was called with: "
+          "Got input sharding(s) that compiled object was called with: "
           f"{arg.sharding} and sharding(s) the computation was compiled "
-          f"with: {xs} for arg {name} with shape: {arg.aval.str_short()}",
-          'sharding'))
-
-    # TODO(yashkatariya): Remove `arg.layout is not None` check after pathways
-    # supports layout on Array.
-    if (xla_extension_version >= 249 and not db_xs and arg._committed and
-        arg.layout is not None and arg.layout != xl):
-      errors.append(
-          ("Got input layout(s) that compiled object was called with: "
-          f"{arg.layout} and layout(s) the computation was compiled "
-          f"with: {xl} for arg {name} with shape: {arg.aval.str_short()}",
-          'layout'))
+          f"with: {xs} for arg {name} with shape: {arg.aval.str_short()}")
 
   if errors:
-    first_errors, error_kinds = unzip2(errors[:num_errors])
-    str_errors = '\n'.join(first_errors)
-    if all(k == 'sharding' for k in error_kinds):
-      kind_str = r'sharding(s)'
-    elif all(k == 'layout' for k in error_kinds):
-      kind_str = 'layout(s)'
-    else:
-      kind_str = 'sharding(s) and layout(s)'
+    str_errors = '\n'.join(errors[:num_errors])
     num_mismatch_str = (
         f'the {len(errors)} mismatches' if len(errors) < num_errors else
         f"{num_errors} mismatches out of {len(errors)}")
     raise ValueError(
-          f"Compiled object called with input {kind_str} does "
-          f"not match the {kind_str} the computation was "
-          "compiled with. "
+          "Compiled object called with input sharding(s) does not match the "
+          "sharding(s) the computation was compiled with. "
           f"Here are {num_mismatch_str}:\n{str_errors}")
 
 

jax/_src/layout.py

@@ -14,6 +14,8 @@
 
 from __future__ import annotations
 
+import re
+
 from jax._src.lib import xla_client as xc
 
 
@@ -22,10 +24,16 @@ class Layout:
   pass
 
 
-class SpecifiedLayout(Layout):
-  layout: xc.PjRtLayout
+class XLACompatibleLayout(Layout):
+
+  def _to_xla_layout(self) -> str:
+    raise NotImplementedError("Subclasses should implement this method.")
+
+
+class SpecifiedLayout(XLACompatibleLayout):
+  layout: xc.Layout
 
-  def __init__(self, layout: xc.PjRtLayout):
+  def __init__(self, layout: xc.Layout):
     self._layout = layout
     self._layout_str = str(self._layout)
 
@@ -43,10 +51,19 @@ def __eq__(self, other):
   def _to_xla_layout(self) -> str:
     return self._layout_str
 
+  @property
+  def _minor_to_major(self):
+    m = re.search("{([0-9,]*):", str(self))
+    assert m is not None
+    m2m_str = m.group(1)
+    if m2m_str == "":
+      return ()
+    return tuple(int(x) for x in m2m_str.split(","))
+
 
-class AutoLayout:
+class LayoutRequest:
 
   def __repr__(self):
-    return "AUTO"
+    return "Request a layout from the compiler"
 
-AUTO = AutoLayout()
+AUTO = LayoutRequest()

jax/_src/pjit.py

@@ -435,7 +435,6 @@ def lower(*args, **kwargs):
     try:
       in_shardings = _resolve_in_shardings(
           args_flat, params['in_shardings'], params['out_shardings'], mesh)
-      in_layouts_flat = _resolve_in_layouts(args_flat, in_layouts_flat)
       lowering = _pjit_lower(
           params['jaxpr'], in_shardings, params['out_shardings'],
           params['resource_env'], params['donated_invars'], params['name'],
@@ -1131,6 +1130,7 @@ def unpack(key):
   p("explanation unavailable! please open an issue at https://github.com/google/jax")
   return done()
 
+
 @partial(lu.cache, explain=explain_tracing_cache_miss)
 def _create_pjit_jaxpr(fun, in_type, debug_info, out_paths, ignored_inline):
   del ignored_inline  # just for explain_cache_miss
@@ -1264,28 +1264,6 @@ def pjit_check_aval_sharding(
 pjit_p.multiple_results = True
 
 
-def _resolve_in_layouts(args, jit_in_layouts):
-  resolved_in_layouts = []
-  for arg, jit_in_l in safe_zip(args, jit_in_layouts):
-    arg_layout, committed = (
-        (arg.layout, getattr(arg, '_committed', True))
-        if getattr(arg, 'layout', None) is not None else (None, False))
-    if jit_in_l is None:
-      if committed:
-        resolved_in_layouts.append(arg_layout)
-      else:
-        resolved_in_layouts.append(None)
-    else:
-      if committed and arg_layout != jit_in_l:
-        raise ValueError('Layout passed to jit does not match the layout '
-                          'on the respective arg. '
-                          f'Got pjit layout: {jit_in_l},\n'
-                          f'arg sharding: {arg_layout} for '
-                          f'arg shape: {shaped_abstractify(arg).str_short()}')
-      resolved_in_layouts.append(jit_in_l)
-  return tuple(resolved_in_layouts)
-
-
 def _resolve_in_shardings(
     args, pjit_in_shardings: Sequence[PjitSharding],
     out_shardings: Sequence[PjitSharding],
@@ -1409,9 +1387,8 @@ def _pjit_call_impl_python(
   _most_recent_pjit_call_executable.weak_key_dict[jaxpr] = compiled
   # This check is expensive so only do it if enable_checks is on.
   if compiled._auto_spmd_lowering and config.enable_checks.value:
-    pxla.check_array_xla_sharding_layout_match(
-        args, compiled._in_shardings, compiled._in_layouts,
-        jaxpr.jaxpr.debug_info)
+    pxla.check_gda_or_array_xla_sharding_match(args, compiled._in_shardings,
+                                               jaxpr.jaxpr.debug_info)
   if config.distributed_debug.value:
     # Defensively only perform fingerprint logic if debug logging is enabled
     # NOTE(skyewm): I didn't benchmark this