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nohup.out
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/usr/bin/env: /usr/bin/env: cannot execute binary file
/usr/bin/env: /usr/bin/env: cannot execute binary file
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1700520448.123480 1 tfrt_cpu_pjrt_client.cc:349] TfrtCpuClient created.
Currently working in /Users/anasofiauzsoy/Desktop/School_Stuff/Mandel_Group/BayeSN-numpyro
Current devices: [CpuDevice(id=0), CpuDevice(id=1), CpuDevice(id=2), CpuDevice(id=3)]
4
Reading light curves...
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Saving light curves to standard grid...
0%| | 0/1000 [00:00<?, ?it/s]100%|██████████| 1000/1000 [00:00<00:00, 17507.63it/s]
/Users/anasofiauzsoy/anaconda/envs/numpyro_env/lib/python3.11/site-packages/jax/_src/linear_util.py:190: UserWarning: Missing a plate statement for batch dimension -2 at site 'obs'. You can use `numpyro.util.format_shapes` utility to check shapes at all sites of your model.
ans = self.f(*args, **dict(self.params, **kwargs))
/Users/anasofiauzsoy/Desktop/School_Stuff/Mandel_Group/BayeSN-numpyro/bayesn_model.py:1340: UserWarning: Missing a plate statement for batch dimension -2 at site 'obs'. You can use `numpyro.util.format_shapes` utility to check shapes at all sites of your model.
svi_result = svi.run(PRNGKey(123), 5000, data[..., None],band_weights[None, ...], progress_bar=False)
(9, 48, 1000)
(1000, 300, 90)
Model AV: Traced<ShapedArray(float64[1])>with<DynamicJaxprTrace(level=0/1)>
1 48
Model AV: Traced<ShapedArray(float64[1])>with<DynamicJaxprTrace(level=2/1)>
1 48
Model AV: Traced<ShapedArray(float64[1])>with<JVPTrace(level=4/1)> with
primal = Traced<ShapedArray(float64[1])>with<DynamicJaxprTrace(level=2/1)>
tangent = Traced<ShapedArray(float64[1])>with<JaxprTrace(level=3/1)> with
pval = (ShapedArray(float64[1]), None)
recipe = JaxprEqnRecipe(eqn_id=<object object at 0x181ff9850>, in_tracers=(Traced<ShapedArray(float64[1]):JaxprTrace(level=3/1)>, Traced<ShapedArray(float64[1]):JaxprTrace(level=3/1)>), out_tracer_refs=[<weakref at 0x181f6e070; to 'JaxprTracer' at 0x1822d0b30>], out_avals=[ShapedArray(float64[1])], primitive=pjit, params={'jaxpr': { lambda ; a:f64[1] b:f64[1]. let c:f64[1] = mul a b in (c,) }, 'in_shardings': (UnspecifiedValue, UnspecifiedValue), 'out_shardings': (UnspecifiedValue,), 'resource_env': None, 'donated_invars': (False, False), 'name': '<lambda>', 'keep_unused': False, 'inline': True}, effects=set(), source_info=SourceInfo(traceback=<jaxlib.xla_extension.Traceback object at 0x182032e30>, name_stack=NameStack(stack=(Transform(name='jvp'),))))
1 48
Model AV: Traced<ShapedArray(float64[1])>with<JVPTrace(level=6/1)> with
primal = Traced<ShapedArray(float64[1])>with<DynamicJaxprTrace(level=4/1)>
tangent = Traced<ShapedArray(float64[1])>with<JaxprTrace(level=5/1)> with
pval = (ShapedArray(float64[1]), None)
recipe = JaxprEqnRecipe(eqn_id=<object object at 0x1825cc590>, in_tracers=(Traced<ShapedArray(float64[1]):JaxprTrace(level=5/1)>, Traced<ShapedArray(float64[1]):JaxprTrace(level=5/1)>), out_tracer_refs=[<weakref at 0x18231e7a0; to 'JaxprTracer' at 0x18231da80>], out_avals=[ShapedArray(float64[1])], primitive=pjit, params={'jaxpr': { lambda ; a:f64[1] b:f64[1]. let c:f64[1] = mul a b in (c,) }, 'in_shardings': (UnspecifiedValue, UnspecifiedValue), 'out_shardings': (UnspecifiedValue,), 'resource_env': None, 'donated_invars': (False, False), 'name': '<lambda>', 'keep_unused': False, 'inline': True}, effects=set(), source_info=SourceInfo(traceback=<jaxlib.xla_extension.Traceback object at 0x1820a79b0>, name_stack=NameStack(stack=(Transform(name='jvp'),))))
1 48
Model AV: Traced<ShapedArray(float64[1])>with<DynamicJaxprTrace(level=3/1)>
1 48
MCMC: 62549.26660712398
Model AV: [0.13729821]
1 48
Model AV: [0.10206908]
1 48
Model AV: Traced<ConcreteArray([0.10206908], dtype=float64)>with<JVPTrace(level=3/0)> with
primal = Array([0.10206908], dtype=float64)
tangent = Traced<ShapedArray(float64[1])>with<JaxprTrace(level=2/0)> with
pval = (ShapedArray(float64[1]), None)
recipe = JaxprEqnRecipe(eqn_id=<object object at 0x181ff95c0>, in_tracers=(Traced<ShapedArray(float64[1]):JaxprTrace(level=2/0)>, Traced<ConcreteArray([0.10206908], dtype=float64):JaxprTrace(level=2/0)>), out_tracer_refs=[<weakref at 0x185c4b0b0; to 'JaxprTracer' at 0x185c4b060>], out_avals=[ShapedArray(float64[1])], primitive=pjit, params={'jaxpr': { lambda ; a:f64[1] b:f64[1]. let c:f64[1] = mul a b in (c,) }, 'in_shardings': (UnspecifiedValue, UnspecifiedValue), 'out_shardings': (UnspecifiedValue,), 'resource_env': None, 'donated_invars': (False, False), 'name': '<lambda>', 'keep_unused': False, 'inline': True}, effects=set(), source_info=SourceInfo(traceback=<jaxlib.xla_extension.Traceback object at 0x184fb15b0>, name_stack=NameStack(stack=(Transform(name='vmap'), Transform(name='jvp')))))
1 48
Model AV: Traced<ShapedArray(float64[1])>with<DynamicJaxprTrace(level=2/0)>
1 48
Model AV: Traced<ShapedArray(float64[1])>with<JVPTrace(level=4/0)> with
primal = Traced<ShapedArray(float64[1])>with<DynamicJaxprTrace(level=2/0)>
tangent = Traced<ShapedArray(float64[1])>with<JaxprTrace(level=3/0)> with
pval = (ShapedArray(float64[1]), None)
recipe = JaxprEqnRecipe(eqn_id=<object object at 0x184f6edc0>, in_tracers=(Traced<ShapedArray(float64[1]):JaxprTrace(level=3/0)>, Traced<ShapedArray(float64[1]):JaxprTrace(level=3/0)>), out_tracer_refs=[<weakref at 0x1866a6980; to 'JaxprTracer' at 0x1866a6930>], out_avals=[ShapedArray(float64[1])], primitive=pjit, params={'jaxpr': { lambda ; a:f64[1] b:f64[1]. let c:f64[1] = mul a b in (c,) }, 'in_shardings': (UnspecifiedValue, UnspecifiedValue), 'out_shardings': (UnspecifiedValue,), 'resource_env': None, 'donated_invars': (False, False), 'name': '<lambda>', 'keep_unused': False, 'inline': True}, effects=set(), source_info=SourceInfo(traceback=<jaxlib.xla_extension.Traceback object at 0x1866bd530>, name_stack=NameStack(stack=(Transform(name='jvp'),))))
1 48
Model AV: Traced<ShapedArray(float64[1])>with<BatchTrace(level=1/0)> with
val = Array([[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
[0.10206908],
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[0.10206908],
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