You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Traceback (most recent call last):
File "/Users/vanderplas/github/google/jax/jax/_src/interpreters/mlir.py", line 814, in lower_jaxpr_to_moduleifnot ctx.module.operation.verify():
jaxlib.mlir._mlir_libs.MLIRError: Verification failed:error: "jit(abs)/jit(main)/abs"("/Users/vanderplas/github/google/jax/tmp.py":2:0): 'stablehlo.abs' op operand #0 must be tensor of 4/8/16/32/64-bit signless integer or f8E4M3B11FNUZ type or f8E4M3FN type or f8E4M3FNUZ type or f8E5M2 type or f8E5M2FNUZ type or 16-bit float or 32-bit float or 64-bit float or bfloat16 type or complex type with 32-bit float or 64-bit float elements or 4/8/16/32-bit uniform quantized signed integer or 4/8/16/32-bit uniform quantized unsigned integer values, but got 'tensor<ui32>'
note: "jit(abs)/jit(main)/abs"("/Users/vanderplas/github/google/jax/tmp.py":2:0): see current operation: %0 = "stablehlo.abs"(%arg0) : (tensor<ui32>) -> tensor<ui32>
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/vanderplas/github/google/jax/tmp.py", line 2, in <module>
jax.lax.abs(jax.numpy.uint32(1))
File "/Users/vanderplas/github/google/jax/jax/_src/lax/lax.py", line 368, in absreturn abs_p.bind(x)
File "/Users/vanderplas/github/google/jax/jax/_src/core.py", line 386, in bindreturnself.bind_with_trace(find_top_trace(args), args, params)
File "/Users/vanderplas/github/google/jax/jax/_src/core.py", line 389, in bind_with_trace
out = trace.process_primitive(self, map(trace.full_raise, args), params)
File "/Users/vanderplas/github/google/jax/jax/_src/core.py", line 869, in process_primitivereturn primitive.impl(*tracers, **params)
File "/Users/vanderplas/github/google/jax/jax/_src/dispatch.py", line 128, in apply_primitive
compiled_fun = xla_primitive_callable(
File "/Users/vanderplas/github/google/jax/jax/_src/util.py", line 263, in wrapperreturn cached(config._trace_context(), *args, **kwargs)
File "/Users/vanderplas/github/google/jax/jax/_src/util.py", line 256, in cachedreturn f(*args, **kwargs)
File "/Users/vanderplas/github/google/jax/jax/_src/dispatch.py", line 157, in xla_primitive_callable
computation = sharded_lowering(
File "/Users/vanderplas/github/google/jax/jax/_src/dispatch.py", line 188, in sharded_loweringreturn pxla.lower_sharding_computation(
File "/Users/vanderplas/github/google/jax/jax/_src/profiler.py", line 314, in wrapperreturn func(*args, **kwargs)
File "/Users/vanderplas/github/google/jax/jax/_src/interpreters/pxla.py", line 2049, in lower_sharding_computation
nreps, tuple_args, shape_poly_state) = _cached_lowering_to_hlo(
File "/Users/vanderplas/github/google/jax/jax/_src/interpreters/pxla.py", line 1850, in _cached_lowering_to_hlo
lowering_result = mlir.lower_jaxpr_to_module(
File "/Users/vanderplas/github/google/jax/jax/_src/interpreters/mlir.py", line 829, in lower_jaxpr_to_moduleraiseValueError("\n".join(msg_lines)) from e
ValueError: Cannot lower jaxpr with verifier errors:
'stablehlo.abs' op operand #0 must be tensor of 4/8/16/32/64-bit signless integer or f8E4M3B11FNUZ type or f8E4M3FN type or f8E4M3FNUZ type or f8E5M2 type or f8E5M2FNUZ type or 16-bit float or 32-bit float or 64-bit float or bfloat16 type or complex type with 32-bit float or 64-bit float elements or 4/8/16/32-bit uniform quantized signed integer or 4/8/16/32-bit uniform quantized unsigned integer values, but got 'tensor<ui32>'
at loc("jit(abs)/jit(main)/abs"("/Users/vanderplas/github/google/jax/tmp.py":2:0))
see current operation: %0 = "stablehlo.abs"(%arg0) : (tensor<ui32>) -> tensor<ui32>
at loc("jit(abs)/jit(main)/abs"("/Users/vanderplas/github/google/jax/tmp.py":2:0))
Module string:
#loc = loc(unknown)
"builtin.module"() <{sym_name = "jit_abs"}> ({
"func.func"() <{arg_attrs = [{mhlo.sharding = "{replicated}"}], function_type = (tensor<ui32>) -> tensor<ui32>, res_attrs = [{}], sym_name = "main", sym_visibility = "public"}> ({
^bb0(%arg0: tensor<ui32> loc(unknown)):
%0="stablehlo.abs"(%arg0) : (tensor<ui32>) -> tensor<ui32> loc(#loc2)"func.return"(%0) : (tensor<ui32>) -> () loc(#loc)
}) : () -> () loc(#loc)
}) {mhlo.num_partitions = 1 : i32, mhlo.num_replicas = 1 : i32} : () -> () loc(#loc)
#loc1 = loc("/Users/vanderplas/github/google/jax/tmp.py":2:0)
#loc2 = loc("jit(abs)/jit(main)/abs"(#loc1))
I think the fix is to avoid binding the primitive for unsigned inputs.
The text was updated successfully, but these errors were encountered:
Repro:
I think the fix is to avoid binding the primitive for unsigned inputs.
The text was updated successfully, but these errors were encountered: