Created
April 24, 2017 18:46
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Keras bug output
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| In [9]: model.predict(np.random.random((10, 3, 2))) | |
| W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. | |
| W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. | |
| W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. | |
| W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. | |
| --------------------------------------------------------------------------- | |
| InvalidArgumentError Traceback (most recent call last) | |
| /home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args) | |
| 1021 try: | |
| -> 1022 return fn(*args) | |
| 1023 except errors.OpError as e: | |
| /home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata) | |
| 1003 feed_dict, fetch_list, target_list, | |
| -> 1004 status, run_metadata) | |
| 1005 | |
| /home/pedro/anaconda3/lib/python3.6/contextlib.py in __exit__(self, type, value, traceback) | |
| 88 try: | |
| ---> 89 next(self.gen) | |
| 90 except StopIteration: | |
| /home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py in raise_exception_on_not_ok_status() | |
| 468 compat.as_text(pywrap_tensorflow.TF_Message(status)), | |
| --> 469 pywrap_tensorflow.TF_GetCode(status)) | |
| 470 finally: | |
| InvalidArgumentError: You must feed a value for placeholder tensor 'time_distributed_1/keras_learning_phase' with dtype bool | |
| [[Node: time_distributed_1/keras_learning_phase = Placeholder[dtype=DT_BOOL, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]()]] | |
| During handling of the above exception, another exception occurred: | |
| InvalidArgumentError Traceback (most recent call last) | |
| <ipython-input-9-4104792c4c07> in <module>() | |
| ----> 1 model.predict(np.random.random((10, 3, 2))) | |
| /home/pedro/software/keras/keras/models.py in predict(self, x, batch_size, verbose) | |
| 897 if self.model is None: | |
| 898 self.build() | |
| --> 899 return self.model.predict(x, batch_size=batch_size, verbose=verbose) | |
| 900 | |
| 901 def predict_on_batch(self, x): | |
| /home/pedro/software/keras/keras/engine/training.py in predict(self, x, batch_size, verbose) | |
| 1578 f = self.predict_function | |
| 1579 return self._predict_loop(f, ins, | |
| -> 1580 batch_size=batch_size, verbose=verbose) | |
| 1581 | |
| 1582 def train_on_batch(self, x, y, | |
| /home/pedro/software/keras/keras/engine/training.py in _predict_loop(self, f, ins, batch_size, verbose) | |
| 1205 ins_batch = _slice_arrays(ins, batch_ids) | |
| 1206 | |
| -> 1207 batch_outs = f(ins_batch) | |
| 1208 if not isinstance(batch_outs, list): | |
| 1209 batch_outs = [batch_outs] | |
| /home/pedro/software/keras/keras/backend/tensorflow_backend.py in __call__(self, inputs) | |
| 2151 session = get_session() | |
| 2152 updated = session.run(self.outputs + [self.updates_op], | |
| -> 2153 feed_dict=feed_dict) | |
| 2154 return updated[:len(self.outputs)] | |
| 2155 | |
| /home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata) | |
| 765 try: | |
| 766 result = self._run(None, fetches, feed_dict, options_ptr, | |
| --> 767 run_metadata_ptr) | |
| 768 if run_metadata: | |
| 769 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr) | |
| /home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata) | |
| 963 if final_fetches or final_targets: | |
| 964 results = self._do_run(handle, final_targets, final_fetches, | |
| --> 965 feed_dict_string, options, run_metadata) | |
| 966 else: | |
| 967 results = [] | |
| /home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata) | |
| 1013 if handle is None: | |
| 1014 return self._do_call(_run_fn, self._session, feed_dict, fetch_list, | |
| -> 1015 target_list, options, run_metadata) | |
| 1016 else: | |
| 1017 return self._do_call(_prun_fn, self._session, handle, feed_dict, | |
| /home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args) | |
| 1033 except KeyError: | |
| 1034 pass | |
| -> 1035 raise type(e)(node_def, op, message) | |
| 1036 | |
| 1037 def _extend_graph(self): | |
| InvalidArgumentError: You must feed a value for placeholder tensor 'time_distributed_1/keras_learning_phase' with dtype bool | |
| [[Node: time_distributed_1/keras_learning_phase = Placeholder[dtype=DT_BOOL, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]()]] | |
| Caused by op 'time_distributed_1/keras_learning_phase', defined at: | |
| File "/home/pedro/anaconda3/bin/ipython", line 6, in <module> | |
| sys.exit(IPython.start_ipython()) | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/IPython/__init__.py", line 119, in start_ipython | |
| return launch_new_instance(argv=argv, **kwargs) | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/traitlets/config/application.py", line 658, in launch_instance | |
| app.start() | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/IPython/terminal/ipapp.py", line 348, in start | |
| self.shell.mainloop() | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/IPython/terminal/interactiveshell.py", line 440, in mainloop | |
| self.interact() | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/IPython/terminal/interactiveshell.py", line 431, in interact | |
| self.run_cell(code, store_history=True) | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2717, in run_cell | |
| interactivity=interactivity, compiler=compiler, result=result) | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2827, in run_ast_nodes | |
| if self.run_code(code, result): | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code | |
| exec(code_obj, self.user_global_ns, self.user_ns) | |
| File "<ipython-input-7-7feb8d6104c1>", line 1, in <module> | |
| model.add(wrappers.TimeDistributed(core.Dropout(.5), input_shape=(3, 2))) | |
| File "/home/pedro/software/keras/keras/models.py", line 430, in add | |
| layer(x) | |
| File "/home/pedro/software/keras/keras/engine/topology.py", line 585, in __call__ | |
| output = self.call(inputs, **kwargs) | |
| File "/home/pedro/software/keras/keras/layers/wrappers.py", line 177, in call | |
| y = self.layer.call(inputs) # (num_samples * timesteps, ...) | |
| File "/home/pedro/software/keras/keras/layers/core.py", line 111, in call | |
| training=training) | |
| File "/home/pedro/software/keras/keras/backend/tensorflow_backend.py", line 2483, in in_train_phase | |
| training = learning_phase() | |
| File "/home/pedro/software/keras/keras/backend/tensorflow_backend.py", line 103, in learning_phase | |
| name='keras_learning_phase') | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 1520, in placeholder | |
| name=name) | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 2149, in _placeholder | |
| name=name) | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op | |
| op_def=op_def) | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2395, in create_op | |
| original_op=self._default_original_op, op_def=op_def) | |
| File "/home/pedro/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1264, in __init__ | |
| self._traceback = _extract_stack() | |
| InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'time_distributed_1/keras_learning_phase' with dtype bool | |
| [[Node: time_distributed_1/keras_learning_phase = Placeholder[dtype=DT_BOOL, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]()]] |
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