Comments (7)
WillianFuks
commented on June 15, 2024
Hi @FlavioZanette ,
I just checked here the latest released version of TFP and regularize_series is still defined. There were no backwards incompatible changes.
What version of TFP and tfcausalimpact do you have installed on your machine? If you run pip install -U tfcausalimpact does it work?
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FlavioZanette
commented on June 15, 2024
I restarted my cluster and ran again, checked the versions:
tensorflow==2.10.0
tensorflow-probability==0.14.0
tfcausalimpact==0.0.11
Now, this is the error message:
"WARNING:tensorflow:From /local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow/python/autograph/impl/api.py:458: StructuralTimeSeries.joint_log_prob (from tensorflow_probability.python.sts.structural_time_series) is deprecated and will be removed after 2022-03-01.
Instructions for updating:
Please use StructuralTimeSeries.joint_distribution(observed_time_series).log_prob
WARNING:tensorflow:From /local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/distributions/distribution.py:345: calling MultivariateNormalDiag.init (from tensorflow_probability.python.distributions.mvn_diag) with scale_identity_multiplier is deprecated and will be removed after 2020-01-01.
Instructions for updating:
scale_identity_multiplier is deprecated; please combine it into scale_diag directly instead.
TypeError: in user code:
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/causalimpact/model.py", line 368, in _run_vi *
tfp.vi.fit_surrogate_posterior(
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/vi/optimization.py", line 301, in fit_surrogate_posterior **
return tfp_math.minimize(complete_variational_loss_fn,
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/math/minimize.py", line 346, in minimize
initial_loss, initial_grads, initial_parameters = optimizer_step_fn(
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/math/minimize.py", line 86, in optimizer_step
loss = loss_fn()
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/vi/optimization.py", line 295, in complete_variational_loss_fn
return variational_loss_fn(
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/vi/csiszar_divergence.py", line 969, in monte_carlo_variational_loss
return monte_carlo.expectation(
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/monte_carlo/expectation.py", line 166, in expectation
return tf.reduce_mean(f(samples), axis=axis, keepdims=keepdims)
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/vi/csiszar_divergence.py", line 954, in divergence_fn
target_log_prob = nest_util.call_fn(target_log_prob_fn, q_samples)
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/internal/nest_util.py", line 286, in call_fn
return fn(**args)
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/sts/structural_time_series.py", line 501, in log_joint_fn
lgssm = self.make_state_space_model(
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/sts/structural_time_series.py", line 240, in make_state_space_model
return self._make_state_space_model(
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/sts/components/sum.py", line 548, in _make_state_space_model
component_ssms = self.make_component_state_space_models(
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/sts/components/sum.py", line 530, in make_component_state_space_models
component.make_state_space_model(
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/sts/structural_time_series.py", line 240, in make_state_space_model
return self._make_state_space_model(
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/sts/components/regression.py", line 508, in _make_state_space_model
predicted_timeseries = distribution_util.move_dimension(
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/internal/distribution_util.py", line 427, in move_dimension
return ps.cond(ps.equal(source_idx, dest_idx), lambda: x, x_permuted)
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/internal/prefer_static.py", line 252, in cond
pred_value = _get_static_predicate(pred)
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/internal/prefer_static.py", line 126, in _get_static_predicate
pred_value = _get_static_value(pred)
File "/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/tensorflow_probability/python/internal/prefer_static.py", line 117, in _get_static_value
pred_value = c_api.TF_TryEvaluateConstant_wrapper(pred.graph._c_graph,
TypeError: TF_TryEvaluateConstant_wrapper(): incompatible function arguments. The following argument types are supported:
1. (arg0: tensorflow.python.client._pywrap_tf_session.TF_Graph, arg1: tensorflow.python.client._pywrap_tf_session.TF_Output) -> object
Invoked with: ,
"
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WillianFuks
commented on June 15, 2024
The error became even worse! Unfortunately it's outside of the causal package and I have no idea of what might be going on. It does seem to be something related to how tf was compiled on the cluster but it's just a wild guess.
Just wondering, does your script runs normally on another environment other than your cluster? This might indicate if it's something related to the cluster settings.
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nicholas-miles-brex
commented on June 15, 2024
I'm also seeing the same error TF_TryEvaluateConstant_wrapper(): incompatible function arguments. on a code that was previously running.
Is this a question to tensorflow?
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nicholas-miles-brex
commented on June 15, 2024
downgrading to tensorflow 2.9.2 fixed this issue for me
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WillianFuks
commented on June 15, 2024
Thanks @nicholas-miles-brex for the input. @FlavioZanette , does nicolas suggestion solves your issue?
I've been trying to replicate this error on my side but to no avail so far, it still seems to be something related to environment.
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FlavioZanette
commented on June 15, 2024
For me I was able to resolve the error by installing the tensorflow-probability==0.18.0 version.
I still haven't been able to identify the cause, but for now, everything continues to work normally.
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Related Issues (20)
- ResourceExhaustedError HOT 1
- How to save the results HOT 2
- Support Python 3.11
- AttributeError: 'NoneType' object has no attribute 'loc' HOT 3
- how to specify which column is y HOT 2
- Question: Is it possible to extract inclusion probabilities of predictors from trained model? HOT 1
- Warnings: deprecated tensorflow features HOT 1
- Question: how to access the P-value as a variable from the model HOT 1
- ValueError: Argument `name` must be a string and cannot contain character `/`. Received: name=build_factored_surrogate_posterior/loc_0_momentum HOT 5
- value erro r HOT 2
- Question about output extraction HOT 2
- find the respont and point.pred HOT 2
- How to set seed within the sampling process? HOT 1
- Difference to find beta
- extract some output from summary HOT 1
- extracting absolute affect and relative effect.
- Probability of a causal impact:
- output of HMC and VI, HOT 7
- modifying alpha. HOT 3
- Process no longer completes HOT 12
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