Zuricho
commented
11 months ago How did you do the feature step. Could you provide the command to run run_alphafold.sh in feature step?
Open tclin422 opened 11 months ago
Zuricho
commented
11 months ago How did you do the feature step. Could you provide the command to run run_alphafold.sh in feature step?
tclin422
commented
11 months ago 
gilspeyer
commented
8 months ago I am also getting this error. tclin422, did you find out what caused it?
von-elfen
commented
8 months ago I also got this error, Have you solve that?? This error so weird, i tried many solutions but none works :(
luwei0917
commented
1 month ago I got the same error and solved it. this is because I was using '-m model_1_multimer,model_2_multimer,model_3_multimer,model_4_multimer,model_5_multimer' command, but actually, I should use '-m model_1_multimer_v3,model_2_multimer_v3,model_3_multimer_v3,model_4_multimer_v3,model_5_multimer_v3'. I was setting the soft link from the model params_model_1_multimer_v3.npz to params_model_1_multimer.npz.(which I shouldn't do)
Hi,
I've finished the featuring step and got the output feature.pkl for the multiple prediction. Then I got these error messages:
(parafold) [linx@localhost ParallelFold-main]$ I0803 08:18:26.620421 139735959648064 templates.py:857] Using precomputed obsolete pdbs /data/linx/02_Database/01_AF2/pdb_mmcif/obsolete.dat. I0803 08:18:26.864619 139735959648064 xla_bridge.py:603] Unable to initialize backend 'rocm': NOT_FOUND: Could not find registered platform with name: "rocm". Available platform names are: Interpreter CUDA Host I0803 08:18:26.865048 139735959648064 xla_bridge.py:603] Unable to initialize backend 'tpu': module 'jaxlib.xla_extension' has no attribute 'get_tpu_client' I0803 08:18:30.334805 139735959648064 run_alphafold.py:445] Have 25 models: ['model_1_multimer_pred_0', 'model_1_multimer_pred_1', 'model_1_multimer_pred_2', 'model_1_multimer_pred_3', 'model_1_multimer_pred_4', 'model_2_multimer_pred_0', 'model_2_multimer_pred_1', 'model_2_multimer_pred_2', 'model_2_multimer_pred_3', 'model_2_multimer_pred_4', 'model_3_multimer_pred_0', 'model_3_multimer_pred_1', 'model_3_multimer_pred_2', 'model_3_multimer_pred_3', 'model_3_multimer_pred_4', 'model_4_multimer_pred_0', 'model_4_multimer_pred_1', 'model_4_multimer_pred_2', 'model_4_multimer_pred_3', 'model_4_multimer_pred_4', 'model_5_multimer_pred_0', 'model_5_multimer_pred_1', 'model_5_multimer_pred_2', 'model_5_multimer_pred_3', 'model_5_multimer_pred_4'] I0803 08:18:30.335292 139735959648064 run_alphafold.py:459] Using random seed 338821470640361521 for the data pipeline I0803 08:18:30.335713 139735959648064 run_alphafold.py:189] Predicting R04373_impa I0803 08:18:30.491963 139735959648064 run_alphafold.py:231] Running model model_1_multimer_pred_0 on R04373_impa I0803 08:18:30.492612 139735959648064 model.py:165] Running predict with shape(feat) = {'aatype': (1787,), 'residue_index': (1787,), 'seq_length': (), 'msa': (3072, 1787), 'num_alignments': (), 'template_aatype': (4, 1787), 'template_all_atom_mask': (4, 1787, 37), 'template_all_atom_positions': (4, 1787, 37, 3), 'asym_id': (1787,), 'sym_id': (1787,), 'entity_id': (1787,), 'deletion_matrix': (3072, 1787), 'deletion_mean': (1787,), 'all_atom_mask': (1787, 37), 'all_atom_positions': (1787, 37, 3), 'assembly_num_chains': (), 'entity_mask': (1787,), 'num_templates': (), 'cluster_bias_mask': (3072,), 'bert_mask': (3072, 1787), 'seq_mask': (1787,), 'msa_mask': (3072, 1787)} Traceback (most recent call last): File "/home/linx/software/02_parafold/ParallelFold-main/run_alphafold.py", line 491, in
app.run(main)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/absl/app.py", line 308, in run
_run_main(main, args)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/absl/app.py", line 254, in _run_main
sys.exit(main(argv))
File "/home/linx/software/02_parafold/ParallelFold-main/run_alphafold.py", line 464, in main
predict_structure(
File "/home/linx/software/02_parafold/ParallelFold-main/run_alphafold.py", line 239, in predict_structure
prediction_result = model_runner.predict(processed_feature_dict,
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/model.py", line 167, in predict
result = self.apply(self.params, jax.random.PRNGKey(random_seed), feat)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 166, in reraise_with_filtered_traceback
return fun(*args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/pjit.py", line 250, in cache_miss
outs, out_flat, out_tree, args_flat, jaxpr = _python_pjit_helper(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/pjit.py", line 158, in _python_pjit_helper
argsflat, , params, in_tree, outtree, = infer_params_fn(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/api.py", line 306, in infer_params
return pjit.common_infer_params(pjit_info_args, *args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/pjit.py", line 505, in common_infer_params
jaxpr, consts, canonicalized_out_shardings_flat = _pjit_jaxpr(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/pjit.py", line 971, in _pjit_jaxpr
jaxpr, final_consts, out_type = _create_pjit_jaxpr(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/linear_util.py", line 345, in memoized_fun
ans = call(fun, args)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/pjit.py", line 924, in _create_pjit_jaxpr
jaxpr, global_out_avals, consts = pe.trace_to_jaxpr_dynamic(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/profiler.py", line 314, in wrapper
return func(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/interpreters/partial_eval.py", line 2155, in trace_to_jaxpr_dynamic
jaxpr, out_avals, consts = trace_to_subjaxpr_dynamic(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/interpreters/partial_eval.py", line 2177, in trace_to_subjaxpr_dynamic
ans = fun.call_wrapped(intracers)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/linear_util.py", line 188, in call_wrapped
ans = self.f(args, dict(self.params, kwargs))
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/transform.py", line 128, in apply_fn
out, state = f.apply(params, {}, *args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/transform.py", line 357, in apply_fn
out = f(*args, kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/model.py", line 77, in _forward_fn
return model(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(*args, *kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 508, in call
numrecycles, , prev, safe_key = hk.while_loop(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 898, in while_loop
val, state = jax.lax.while_loop(pure_cond_fun, pure_body_fun, init_val)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 166, in reraise_with_filtered_traceback
return fun(*args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/loops.py", line 1150, in while_loop
init_vals, init_avals, body_jaxpr, in_tree, rest = _create_jaxpr(init_val)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/loops.py", line 1133, in _create_jaxpr
body_jaxpr, body_consts, body_tree = _initial_style_jaxpr(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/common.py", line 64, in _initial_style_jaxpr
jaxpr, consts, out_tree = _initial_style_open_jaxpr(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/common.py", line 58, in _initial_style_openjaxpr
jaxpr, , consts = pe.trace_to_jaxpr_dynamic(wrapped_fun, in_avals, debug)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/profiler.py", line 314, in wrapper
return func(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/interpreters/partial_eval.py", line 2155, in trace_to_jaxpr_dynamic
jaxpr, out_avals, consts = trace_to_subjaxpr_dynamic(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/interpreters/partial_eval.py", line 2177, in trace_to_subjaxpr_dynamic
ans = fun.call_wrapped(intracers)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/linear_util.py", line 188, in call_wrapped
ans = self.f(args, dict(self.params, kwargs))
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 891, in pure_body_fun
val = body_fun(val)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 486, in recycle_body
ret = apply_network(prev=prev, safe_key=safe_key2)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 449, in apply_network
return impl(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(*args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 321, in call
repr_shape = hk.eval_shape(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 951, in eval_shape
out_shape = jax.eval_shape(stateless_fun, internal_state(), args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 166, in reraise_with_filtered_traceback
return fun(*args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/api.py", line 2783, in eval_shape
out = pe.abstract_eval_fun(wrapped_fun.call_wrapped,
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/interpreters/partial_eval.py", line 670, in abstract_evalfun
, avalsout, = trace_to_jaxpr_dynamic(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/profiler.py", line 314, in wrapper
return func(*args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/interpreters/partial_eval.py", line 2155, in trace_to_jaxpr_dynamic
jaxpr, out_avals, consts = trace_to_subjaxpr_dynamic(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/interpreters/partial_eval.py", line 2177, in trace_to_subjaxpr_dynamic
ans = fun.call_wrapped(intracers)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/linear_util.py", line 188, in call_wrapped
ans = self.f(args, dict(self.params, *kwargs))
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/linear_util.py", line 188, in call_wrapped
ans = self.f(args, dict(self.params, kwargs))
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 947, in stateless_fun
out = fun(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 322, in
lambda: embedding_module(batch, is_training))
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f( args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 696, in call
template_act = template_module(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 883, in call
summed_templateembeddings, = hk.scan(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 640, in scan
(carry, state), ys = jax.lax.scan(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 166, in reraise_with_filtered_traceback
return fun(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/loops.py", line 250, in scan
init_flat, carry_avals, carry_avals_out, init_tree, rest = _create_jaxpr(init)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/loops.py", line 236, in _create_jaxpr
jaxpr, consts, out_tree = _initial_style_jaxpr(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/common.py", line 64, in _initial_style_jaxpr
jaxpr, consts, out_tree = _initial_style_open_jaxpr(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/common.py", line 58, in _initial_style_openjaxpr
jaxpr, , consts = pe.trace_to_jaxpr_dynamic(wrapped_fun, in_avals, debug)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/profiler.py", line 314, in wrapper
return func(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/interpreters/partial_eval.py", line 2155, in trace_to_jaxpr_dynamic
jaxpr, out_avals, consts = trace_to_subjaxpr_dynamic(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/interpreters/partial_eval.py", line 2177, in trace_to_subjaxpr_dynamic
ans = fun.call_wrapped(intracers)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/linear_util.py", line 188, in call_wrapped
ans = self.f(args, dict(self.params, kwargs))
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 623, in stateful_fun
carry, out = f(carry, x)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 879, in scan_fn
return carry + partial_template_embedder(x), None
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 866, in partial_template_embedder
return template_embedder(query_embedding,
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 1036, in call
act, safe_key = template_stack((act, safe_subkey))
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/layer_stack.py", line 265, in wrapped
ret = _LayerStackNoState(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/layer_stack.py", line 156, in call
carry, zs = hk.scan(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 640, in scan
(carry, state), ys = jax.lax.scan(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 166, in reraise_with_filtered_traceback
return fun(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/loops.py", line 250, in scan
init_flat, carry_avals, carry_avals_out, init_tree, rest = _create_jaxpr(init)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/loops.py", line 236, in _create_jaxpr
jaxpr, consts, out_tree = _initial_style_jaxpr(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/common.py", line 64, in _initial_style_jaxpr
jaxpr, consts, out_tree = _initial_style_open_jaxpr(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/lax/control_flow/common.py", line 58, in _initial_style_openjaxpr
jaxpr, , consts = pe.trace_to_jaxpr_dynamic(wrapped_fun, in_avals, debug)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/profiler.py", line 314, in wrapper
return func(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/interpreters/partial_eval.py", line 2155, in trace_to_jaxpr_dynamic
jaxpr, out_avals, consts = trace_to_subjaxpr_dynamic(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/interpreters/partial_eval.py", line 2177, in trace_to_subjaxpr_dynamic
ans = fun.call_wrapped(intracers)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/jax/_src/linear_util.py", line 188, in call_wrapped
ans = self.f(args, dict(self.params, kwargs))
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 623, in stateful_fun
carry, out = f(carry, x)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/layer_stack.py", line 149, in layer
out_x, z = self._call_wrapped(carry.x, scanned.args_ys)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/layer_stack.py", line 182, in _call_wrapped
ret = self._f(args)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 1022, in template_iteration_fn
act = template_iteration(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(*args, *kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(args, kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 1084, in call
act = dropout_wrapper_fn(
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules.py", line 76, in dropout_wrapper
residual = module(input_act, mask, is_training=is_training, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, *kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(args, kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules.py", line 1316, in call
return self._triangle_multiplication(left_act, left_mask)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules.py", line 1326, in _triangle_multiplication
act = common_modules.LayerNorm(axis=[-1], create_scale=True, create_offset=True,
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(*args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, *kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(args, kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/common_modules.py", line 176, in call
scale = hk.get_parameter(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/base.py", line 448, in wrapped
return wrapped._current(*args, **kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/base.py", line 524, in get_parameter
raise ValueError(
jax._src.traceback_util.UnfilteredStackTrace: ValueError: Unable to retrieve parameter 'scale' for module 'alphafold/alphafold_iteration/evoformer/template_embedding/single_template_embedding/template_embedding_iteration/triangle_multiplication_outgoing/layer_norm_input' All parameters must be created as part of
init.The stack trace below excludes JAX-internal frames. The preceding is the original exception that occurred, unmodified.
The above exception was the direct cause of the following exception:
Traceback (most recent call last): File "/home/linx/software/02_parafold/ParallelFold-main/run_alphafold.py", line 491, in
app.run(main)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/absl/app.py", line 308, in run
_run_main(main, args)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/absl/app.py", line 254, in _run_main
sys.exit(main(argv))
File "/home/linx/software/02_parafold/ParallelFold-main/run_alphafold.py", line 464, in main
predict_structure(
File "/home/linx/software/02_parafold/ParallelFold-main/run_alphafold.py", line 239, in predict_structure
prediction_result = model_runner.predict(processed_feature_dict,
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/model.py", line 167, in predict
result = self.apply(self.params, jax.random.PRNGKey(random_seed), feat)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/transform.py", line 128, in apply_fn
out, state = f.apply(params, {}, *args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/transform.py", line 357, in apply_fn
out = f(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/model.py", line 77, in _forward_fn
return model(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 508, in call
numrecycles, , prev, safe_key = hk.while_loop(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 898, in while_loop
val, state = jax.lax.while_loop(pure_cond_fun, pure_body_fun, init_val)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 891, in pure_body_fun
val = body_fun(val)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 486, in recycle_body
ret = apply_network(prev=prev, safe_key=safe_key2)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 449, in apply_network
return impl(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 321, in call
repr_shape = hk.eval_shape(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 951, in eval_shape
out_shape = jax.eval_shape(stateless_fun, internal_state(), args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 947, in stateless_fun
out = fun(*args, kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 322, in
lambda: embedding_module(batch, is_training))
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(*args, *kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 696, in call
template_act = template_module(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(*args, *kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 883, in call
summed_templateembeddings, = hk.scan(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 640, in scan
(carry, state), ys = jax.lax.scan(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 623, in stateful_fun
carry, out = f(carry, x)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 879, in scan_fn
return carry + partial_template_embedder(x), None
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 866, in partial_template_embedder
return template_embedder(query_embedding,
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 1036, in call
act, safe_key = template_stack((act, safe_subkey))
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/layer_stack.py", line 265, in wrapped
ret = _LayerStackNoState(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/layer_stack.py", line 156, in call
carry, zs = hk.scan(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 640, in scan
(carry, state), ys = jax.lax.scan(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/stateful.py", line 623, in stateful_fun
carry, out = f(carry, x)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/layer_stack.py", line 149, in layer
out_x, z = self._call_wrapped(carry.x, scanned.args_ys)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/layer_stack.py", line 182, in _call_wrapped
ret = self._f(args)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 1022, in template_iteration_fn
act = template_iteration(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(args, kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules_multimer.py", line 1084, in call
act = dropout_wrapper_fn(
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules.py", line 76, in dropout_wrapper
residual = module(input_act, mask, is_training=is_training, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules.py", line 1316, in call
return self._triangle_multiplication(left_act, left_mask)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/modules.py", line 1326, in _triangle_multiplication
act = common_modules.LayerNorm(axis=[-1], create_scale=True, create_offset=True,
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 426, in wrapped
out = f(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, kwds)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/module.py", line 272, in run_interceptors
return bound_method(*args, *kwargs)
File "/home/linx/software/02_parafold/ParallelFold-main/alphafold/model/common_modules.py", line 176, in call
scale = hk.get_parameter(
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/base.py", line 448, in wrapped
return wrapped._current(args, kwargs)
File "/home/linx/miniconda3/envs/parafold/lib/python3.8/site-packages/haiku/_src/base.py", line 524, in get_parameter
raise ValueError(
ValueError: Unable to retrieve parameter 'scale' for module 'alphafold/alphafold_iteration/evoformer/template_embedding/single_template_embedding/template_embedding_iteration/triangle_multiplication_outgoing/layer_norm_input' All parameters must be created as part of
init.