All the previous tests passed but I am not sure why I cannot split the data according to (n_batch, seqlen, n_heads, d_head). I tried refreshing the workspace since I thought it was the problem with the dataset but to no avail. The error callback trace are as follows:
---------------------------------------------------------------------------
LayerError Traceback (most recent call last)
<ipython-input-45-d1e9ffd2f1b1> in <module>
1 # UNIT TEST
2 # test training_loop
----> 3 w2_tests.test_training_loop(training_loop, TransformerLM)
~/work/w2_tests.py in test_training_loop(target, TransformerLM)
813 os.remove("~/model/model.pkl.gz")
814
--> 815 output_loop = target(TransformerLM, my_gen(), my_gen())
816
817 try:
<ipython-input-44-9cb08261c0b0> in training_loop(TransformerLM, train_gen, eval_gen, output_dir)
40 train_task,
41 eval_tasks=[eval_task],
---> 42 output_dir=output_dir)
43
44 return loop
/opt/conda/lib/python3.7/site-packages/trax/supervised/training.py in __init__(self, model, tasks, eval_model, eval_tasks, output_dir, checkpoint_at, checkpoint_low_metric, checkpoint_high_metric, permanent_checkpoint_at, eval_at, which_task, n_devices, random_seed, loss_chunk_size, use_memory_efficient_trainer, adasum, callbacks)
246 if not use_memory_efficient_trainer:
247 if _is_uninitialized(self._model):
--> 248 self._model.init(self._batch_signature)
249 self._eval_model.rng = self.new_rng()
250 if _is_uninitialized(self._eval_model):
/opt/conda/lib/python3.7/site-packages/trax/layers/base.py in init(self, input_signature, rng, use_cache)
309 name, trace = self._name, _short_traceback(skip=3)
310 raise LayerError(name, 'init', self._caller,
--> 311 input_signature, trace) from None
312
313 def init_from_file(self, file_name, weights_only=False, input_signature=None):
LayerError: Exception passing through layer Serial (in init):
layer created in file [...]/<ipython-input-40-3c2b89f9c7cb>, line 63
layer input shapes: (ShapeDtype{shape:(1, 1250), dtype:int64}, ShapeDtype{shape:(1, 1250), dtype:int64}, ShapeDtype{shape:(1, 1250), dtype:int64})
File [...]/trax/layers/combinators.py, line 105, in init_weights_and_state
sublayer.init(inputs, use_cache=True))
LayerError: Exception passing through layer Serial (in init):
layer created in file [...]/<ipython-input-37-5b7ff822d20f>, line 54
layer input shapes: ShapeDtype{shape:(1, 1250, 4), dtype:float32}
File [...]/trax/layers/combinators.py, line 105, in init_weights_and_state
sublayer.init(inputs, use_cache=True))
LayerError: Exception passing through layer Branch (in init):
layer created in file [...]/<ipython-input-37-5b7ff822d20f>, line 54
layer input shapes: ShapeDtype{shape:(1, 1250, 4), dtype:float32}
File [...]/trax/layers/combinators.py, line 105, in init_weights_and_state
sublayer.init(inputs, use_cache=True))
LayerError: Exception passing through layer Parallel (in init):
layer created in file [...]/<ipython-input-37-5b7ff822d20f>, line 54
layer input shapes: (ShapeDtype{shape:(1, 1250, 4), dtype:float32}, ShapeDtype{shape:(1, 1250, 4), dtype:float32})
File [...]/trax/layers/combinators.py, line 226, in init_weights_and_state
in zip(self.sublayers, sublayer_signatures)]
File [...]/trax/layers/combinators.py, line 225, in <listcomp>
for layer, signature
LayerError: Exception passing through layer Serial (in init):
layer created in file [...]/<ipython-input-37-5b7ff822d20f>, line 54
layer input shapes: ShapeDtype{shape:(1, 1250, 4), dtype:float32}
File [...]/trax/layers/combinators.py, line 105, in init_weights_and_state
sublayer.init(inputs, use_cache=True))
LayerError: Exception passing through layer Serial (in init):
layer created in file [...]/<ipython-input-34-c924fc487e9d>, line 47
layer input shapes: ShapeDtype{shape:(1, 1250, 4), dtype:float32}
File [...]/trax/layers/combinators.py, line 105, in init_weights_and_state
sublayer.init(inputs, use_cache=True))
LayerError: Exception passing through layer Branch (in init):
layer created in file [...]/<ipython-input-34-c924fc487e9d>, line 39
layer input shapes: ShapeDtype{shape:(1, 1250, 4), dtype:float32}
File [...]/trax/layers/combinators.py, line 105, in init_weights_and_state
sublayer.init(inputs, use_cache=True))
LayerError: Exception passing through layer Parallel (in init):
layer created in file [...]/<ipython-input-34-c924fc487e9d>, line 39
layer input shapes: (ShapeDtype{shape:(1, 1250, 4), dtype:float32}, ShapeDtype{shape:(1, 1250, 4), dtype:float32}, ShapeDtype{shape:(1, 1250, 4), dtype:float32})
File [...]/trax/layers/combinators.py, line 226, in init_weights_and_state
in zip(self.sublayers, sublayer_signatures)]
File [...]/trax/layers/combinators.py, line 225, in <listcomp>
for layer, signature
LayerError: Exception passing through layer Serial (in init):
layer created in file [...]/<ipython-input-34-c924fc487e9d>, line 39
layer input shapes: ShapeDtype{shape:(1, 1250, 4), dtype:float32}
File [...]/trax/layers/combinators.py, line 106, in init_weights_and_state
outputs, _ = sublayer._forward_abstract(inputs)
LayerError: Exception passing through layer AttnHeads (in _forward_abstract):
layer created in file [...]/<ipython-input-34-c924fc487e9d>, line 32
layer input shapes: ShapeDtype{shape:(1, 1250, 4), dtype:float32}
File [...]/jax/interpreters/partial_eval.py, line 419, in abstract_eval_fun
lu.wrap_init(fun, params), avals, debug_info)
File [...]/jax/interpreters/partial_eval.py, line 1510, in trace_to_jaxpr_dynamic
jaxpr, out_avals, consts = trace_to_subjaxpr_dynamic(fun, main, in_avals)
File [...]/jax/interpreters/partial_eval.py, line 1520, in trace_to_subjaxpr_dynamic
ans = fun.call_wrapped(*in_tracers)
File [...]/site-packages/jax/linear_util.py, line 166, in call_wrapped
ans = self.f(*args, **dict(self.params, **kwargs))
File [...]/site-packages/jax/linear_util.py, line 166, in call_wrapped
ans = self.f(*args, **dict(self.params, **kwargs))
LayerError: Exception passing through layer AttnHeads (in pure_fn):
layer created in file [...]/<ipython-input-34-c924fc487e9d>, line 32
layer input shapes: ShapeDtype{shape:(1, 1250, 4), dtype:float32}
File [...]/trax/layers/base.py, line 743, in forward
raw_output = self._forward_fn(inputs)
File [...]/trax/layers/base.py, line 784, in _forward
return f(*xs)
File [...]/<ipython-input-25-84a31e493485>, line 29, in compute_attention_heads
x = jnp.reshape(x, (batch_size, seqlen, n_heads, d_head))
File [...]/_src/numpy/lax_numpy.py, line 1711, in reshape
return a.reshape(newshape, order=order) # forward to method for ndarrays
File [...]/_src/numpy/lax_numpy.py, line 1731, in _reshape
return lax.reshape(a, newshape, None)
File [...]/_src/lax/lax.py, line 832, in reshape
dimensions=None if dimensions is None or same_dims else tuple(dimensions))
File [...]/site-packages/jax/core.py, line 272, in bind
out = top_trace.process_primitive(self, tracers, params)
File [...]/jax/interpreters/partial_eval.py, line 1317, in process_primitive
out_avals = primitive.abstract_eval(*avals, **params)
File [...]/_src/lax/lax.py, line 2274, in standard_abstract_eval
return ShapedArray(shape_rule(*avals, **kwargs), dtype_rule(*avals, **kwargs),
File [...]/_src/lax/lax.py, line 4096, in _reshape_shape_rule
if not core.same_shape_sizes(np.shape(operand), new_sizes):
File [...]/site-packages/jax/core.py, line 1412, in same_shape_sizes
return 1 == divide_shape_sizes(s1, s2)
File [...]/site-packages/jax/core.py, line 1409, in divide_shape_sizes
return handler.divide_shape_sizes(ds[:len(s1)], ds[len(s1):])
File [...]/site-packages/jax/core.py, line 1324, in divide_shape_sizes
raise InconclusiveDimensionOperation(f"Cannot divide evenly the sizes of shapes {tuple(s1)} and {tuple(s2)}")
jax.core.InconclusiveDimensionOperation: Cannot divide evenly the sizes of shapes (1, 1250, 4) and (1, 1250, 2, 4)
Please help!