import numpy as np
import tensorflow as tf
from tensorflow import keras
import os
os.getenv('LD_LIBRARY_PATH')Character-level recurrent sequence-to-sequence model
Author: fchollet
Date created: 2017/09/29
Last modified: 2020/04/26
Description: Character-level recurrent sequence-to-sequence model.
Introduction
This example demonstrates how to implement a basic character-level recurrent sequence-to-sequence model. We apply it to translating short English sentences into short French sentences, character-by-character. Note that it is fairly unusual to do character-level machine translation, as word-level models are more common in this domain.
Summary of the algorithm
- We start with input sequences from a domain (e.g. English sentences) and corresponding target sequences from another domain (e.g. French sentences).
- An encoder LSTM turns input sequences to 2 state vectors (we keep the last LSTM state and discard the outputs).
- A decoder LSTM is trained to turn the target sequences into the same sequence but offset by one timestep in the future, a training process called “teacher forcing” in this context. It uses as initial state the state vectors from the encoder. Effectively, the decoder learns to generate
targets[t+1...]giventargets[...t], conditioned on the input sequence. - In inference mode, when we want to decode unknown input sequences, we:
- Encode the input sequence into state vectors
- Start with a target sequence of size 1 (just the start-of-sequence character)
- Feed the state vectors and 1-char target sequence to the decoder to produce predictions for the next character
- Sample the next character using these predictions (we simply use argmax).
- Append the sampled character to the target sequence
- Repeat until we generate the end-of-sequence character or we hit the character limit.
Setup
Download the data
!!curl -O http://www.manythings.org/anki/fra-eng.zip
!!unzip fra-eng.zip['Archive: fra-eng.zip',
'replace _about.txt? [y]es, [n]o, [A]ll, [N]one, [r]ename: NULL',
'(EOF or read error, treating as "[N]one" ...)']Configuration
batch_size = 64 # Batch size for training.
epochs = 100 # Number of epochs to train for.
latent_dim = 256 # Latent dimensionality of the encoding space.
num_samples = 10000 # Number of samples to train on.
# Path to the data txt file on disk.
data_path = "fra.txt"Prepare the data
# Vectorize the data.
input_texts = []
target_texts = []
input_characters = set()
target_characters = set()
with open(data_path, "r", encoding="utf-8") as f:
lines = f.read().split("\n")
for line in lines[: min(num_samples, len(lines) - 1)]:
input_text, target_text, _ = line.split("\t")
# We use "tab" as the "start sequence" character
# for the targets, and "\n" as "end sequence" character.
target_text = "\t" + target_text + "\n"
input_texts.append(input_text)
target_texts.append(target_text)
for char in input_text:
if char not in input_characters:
input_characters.add(char)
for char in target_text:
if char not in target_characters:
target_characters.add(char)
input_characters = sorted(list(input_characters))
target_characters = sorted(list(target_characters))
num_encoder_tokens = len(input_characters)
num_decoder_tokens = len(target_characters)
max_encoder_seq_length = max([len(txt) for txt in input_texts])
max_decoder_seq_length = max([len(txt) for txt in target_texts])
print("Number of samples:", len(input_texts))
print("Number of unique input tokens:", num_encoder_tokens)
print("Number of unique output tokens:", num_decoder_tokens)
print("Max sequence length for inputs:", max_encoder_seq_length)
print("Max sequence length for outputs:", max_decoder_seq_length)
input_token_index = dict([(char, i) for i, char in enumerate(input_characters)])
target_token_index = dict([(char, i) for i, char in enumerate(target_characters)])
encoder_input_data = np.zeros(
(len(input_texts), max_encoder_seq_length, num_encoder_tokens), dtype="float32"
)
decoder_input_data = np.zeros(
(len(input_texts), max_decoder_seq_length, num_decoder_tokens), dtype="float32"
)
decoder_target_data = np.zeros(
(len(input_texts), max_decoder_seq_length, num_decoder_tokens), dtype="float32"
)
for i, (input_text, target_text) in enumerate(zip(input_texts, target_texts)):
for t, char in enumerate(input_text):
encoder_input_data[i, t, input_token_index[char]] = 1.0
encoder_input_data[i, t + 1 :, input_token_index[" "]] = 1.0
for t, char in enumerate(target_text):
# decoder_target_data is ahead of decoder_input_data by one timestep
decoder_input_data[i, t, target_token_index[char]] = 1.0
if t > 0:
# decoder_target_data will be ahead by one timestep
# and will not include the start character.
decoder_target_data[i, t - 1, target_token_index[char]] = 1.0
decoder_input_data[i, t + 1 :, target_token_index[" "]] = 1.0
decoder_target_data[i, t:, target_token_index[" "]] = 1.0Number of samples: 10000
Number of unique input tokens: 70
Number of unique output tokens: 93
Max sequence length for inputs: 14
Max sequence length for outputs: 59Build the model
# Define an input sequence and process it.
encoder_inputs = keras.Input(shape=(None, num_encoder_tokens))
encoder = keras.layers.LSTM(latent_dim, return_state=True)
encoder_outputs, state_h, state_c = encoder(encoder_inputs)
# We discard `encoder_outputs` and only keep the states.
encoder_states = [state_h, state_c]
# Set up the decoder, using `encoder_states` as initial state.
decoder_inputs = keras.Input(shape=(None, num_decoder_tokens))
# We set up our decoder to return full output sequences,
# and to return internal states as well. We don't use the
# return states in the training model, but we will use them in inference.
decoder_lstm = keras.layers.LSTM(latent_dim, return_sequences=True, return_state=True)
decoder_outputs, _, _ = decoder_lstm(decoder_inputs, initial_state=encoder_states)
decoder_dense = keras.layers.Dense(num_decoder_tokens, activation="softmax")
decoder_outputs = decoder_dense(decoder_outputs)
# Define the model that will turn
# `encoder_input_data` & `decoder_input_data` into `decoder_target_data`
model = keras.Model([encoder_inputs, decoder_inputs], decoder_outputs)2023-05-28 16:06:20.165541: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-05-28 16:06:20.166573: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-05-28 16:06:20.167369: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]
2023-05-28 16:06:20.280816: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-05-28 16:06:20.281536: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-05-28 16:06:20.282134: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]Train the model
model.compile(
optimizer="rmsprop", loss="categorical_crossentropy", metrics=["accuracy"]
)
model.fit(
[encoder_input_data, decoder_input_data],
decoder_target_data,
batch_size=batch_size,
epochs=epochs,
validation_split=0.2,
)
# Save model
model.save("s2s")Epoch 1/1002023-05-28 16:06:20.651907: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-05-28 16:06:20.653032: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-05-28 16:06:20.653800: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]
2023-05-28 16:06:20.770622: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-05-28 16:06:20.771735: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-05-28 16:06:20.772658: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]
2023-05-28 16:06:21.165450: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-05-28 16:06:21.166745: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-05-28 16:06:21.167507: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]
2023-05-28 16:06:21.282911: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-05-28 16:06:21.283778: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-05-28 16:06:21.284551: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]125/125 [==============================] - ETA: 0s - loss: 1.2171 - accuracy: 0.73172023-05-28 16:06:33.145843: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-05-28 16:06:33.147297: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-05-28 16:06:33.148277: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]
2023-05-28 16:06:33.267620: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-05-28 16:06:33.270045: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-05-28 16:06:33.270957: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]125/125 [==============================] - 14s 101ms/step - loss: 1.2171 - accuracy: 0.7317 - val_loss: 1.0615 - val_accuracy: 0.7118
Epoch 2/100
40/125 [========>.....................] - ETA: 7s - loss: 0.9863 - accuracy: 0.7431--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) Cell In[17], line 4 1 model.compile( 2 optimizer="rmsprop", loss="categorical_crossentropy", metrics=["accuracy"] 3 ) ----> 4 model.fit( 5 [encoder_input_data, decoder_input_data], 6 decoder_target_data, 7 batch_size=batch_size, 8 epochs=epochs, 9 validation_split=0.2, 10 ) 11 # Save model 12 model.save("s2s") File /workspaces/artificial_intelligence/.venv/lib/python3.11/site-packages/keras/utils/traceback_utils.py:65, in filter_traceback.<locals>.error_handler(*args, **kwargs) 63 filtered_tb = None 64 try: ---> 65 return fn(*args, **kwargs) 66 except Exception as e: 67 filtered_tb = _process_traceback_frames(e.__traceback__) File /workspaces/artificial_intelligence/.venv/lib/python3.11/site-packages/keras/engine/training.py:1685, in Model.fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing) 1677 with tf.profiler.experimental.Trace( 1678 "train", 1679 epoch_num=epoch, (...) 1682 _r=1, 1683 ): 1684 callbacks.on_train_batch_begin(step) -> 1685 tmp_logs = self.train_function(iterator) 1686 if data_handler.should_sync: 1687 context.async_wait() File /workspaces/artificial_intelligence/.venv/lib/python3.11/site-packages/tensorflow/python/util/traceback_utils.py:150, in filter_traceback.<locals>.error_handler(*args, **kwargs) 148 filtered_tb = None 149 try: --> 150 return fn(*args, **kwargs) 151 except Exception as e: 152 filtered_tb = _process_traceback_frames(e.__traceback__) File /workspaces/artificial_intelligence/.venv/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/polymorphic_function.py:894, in Function.__call__(self, *args, **kwds) 891 compiler = "xla" if self._jit_compile else "nonXla" 893 with OptionalXlaContext(self._jit_compile): --> 894 result = self._call(*args, **kwds) 896 new_tracing_count = self.experimental_get_tracing_count() 897 without_tracing = (tracing_count == new_tracing_count) File /workspaces/artificial_intelligence/.venv/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/polymorphic_function.py:926, in Function._call(self, *args, **kwds) 923 self._lock.release() 924 # In this case we have created variables on the first call, so we run the 925 # defunned version which is guaranteed to never create variables. --> 926 return self._no_variable_creation_fn(*args, **kwds) # pylint: disable=not-callable 927 elif self._variable_creation_fn is not None: 928 # Release the lock early so that multiple threads can perform the call 929 # in parallel. 930 self._lock.release() File /workspaces/artificial_intelligence/.venv/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/tracing_compiler.py:143, in TracingCompiler.__call__(self, *args, **kwargs) 140 with self._lock: 141 (concrete_function, 142 filtered_flat_args) = self._maybe_define_function(args, kwargs) --> 143 return concrete_function._call_flat( 144 filtered_flat_args, captured_inputs=concrete_function.captured_inputs) File /workspaces/artificial_intelligence/.venv/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/monomorphic_function.py:1757, in ConcreteFunction._call_flat(self, args, captured_inputs, cancellation_manager) 1753 possible_gradient_type = gradients_util.PossibleTapeGradientTypes(args) 1754 if (possible_gradient_type == gradients_util.POSSIBLE_GRADIENT_TYPES_NONE 1755 and executing_eagerly): 1756 # No tape is watching; skip to running the function. -> 1757 return self._build_call_outputs(self._inference_function.call( 1758 ctx, args, cancellation_manager=cancellation_manager)) 1759 forward_backward = self._select_forward_and_backward_functions( 1760 args, 1761 possible_gradient_type, 1762 executing_eagerly) 1763 forward_function, args_with_tangents = forward_backward.forward() File /workspaces/artificial_intelligence/.venv/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/monomorphic_function.py:381, in _EagerDefinedFunction.call(self, ctx, args, cancellation_manager) 379 with _InterpolateFunctionError(self): 380 if cancellation_manager is None: --> 381 outputs = execute.execute( 382 str(self.signature.name), 383 num_outputs=self._num_outputs, 384 inputs=args, 385 attrs=attrs, 386 ctx=ctx) 387 else: 388 outputs = execute.execute_with_cancellation( 389 str(self.signature.name), 390 num_outputs=self._num_outputs, (...) 393 ctx=ctx, 394 cancellation_manager=cancellation_manager) File /workspaces/artificial_intelligence/.venv/lib/python3.11/site-packages/tensorflow/python/eager/execute.py:52, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name) 50 try: 51 ctx.ensure_initialized() ---> 52 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, 53 inputs, attrs, num_outputs) 54 except core._NotOkStatusException as e: 55 if name is not None: KeyboardInterrupt:
Run inference (sampling)
- encode input and retrieve initial decoder state
- run one step of decoder with this initial state and a “start of sequence” token as target. Output will be the next target token.
- Repeat with the current target token and current states
# Define sampling models
# Restore the model and construct the encoder and decoder.
model = keras.models.load_model("s2s")
encoder_inputs = model.input[0] # input_1
encoder_outputs, state_h_enc, state_c_enc = model.layers[2].output # lstm_1
encoder_states = [state_h_enc, state_c_enc]
encoder_model = keras.Model(encoder_inputs, encoder_states)
decoder_inputs = model.input[1] # input_2
decoder_state_input_h = keras.Input(shape=(latent_dim,))
decoder_state_input_c = keras.Input(shape=(latent_dim,))
decoder_states_inputs = [decoder_state_input_h, decoder_state_input_c]
decoder_lstm = model.layers[3]
decoder_outputs, state_h_dec, state_c_dec = decoder_lstm(
decoder_inputs, initial_state=decoder_states_inputs
)
decoder_states = [state_h_dec, state_c_dec]
decoder_dense = model.layers[4]
decoder_outputs = decoder_dense(decoder_outputs)
decoder_model = keras.Model(
[decoder_inputs] + decoder_states_inputs, [decoder_outputs] + decoder_states
)
# Reverse-lookup token index to decode sequences back to
# something readable.
reverse_input_char_index = dict((i, char) for char, i in input_token_index.items())
reverse_target_char_index = dict((i, char) for char, i in target_token_index.items())
def decode_sequence(input_seq):
# Encode the input as state vectors.
states_value = encoder_model.predict(input_seq)
# Generate empty target sequence of length 1.
target_seq = np.zeros((1, 1, num_decoder_tokens))
# Populate the first character of target sequence with the start character.
target_seq[0, 0, target_token_index["\t"]] = 1.0
# Sampling loop for a batch of sequences
# (to simplify, here we assume a batch of size 1).
stop_condition = False
decoded_sentence = ""
while not stop_condition:
output_tokens, h, c = decoder_model.predict([target_seq] + states_value)
# Sample a token
sampled_token_index = np.argmax(output_tokens[0, -1, :])
sampled_char = reverse_target_char_index[sampled_token_index]
decoded_sentence += sampled_char
# Exit condition: either hit max length
# or find stop character.
if sampled_char == "\n" or len(decoded_sentence) > max_decoder_seq_length:
stop_condition = True
# Update the target sequence (of length 1).
target_seq = np.zeros((1, 1, num_decoder_tokens))
target_seq[0, 0, sampled_token_index] = 1.0
# Update states
states_value = [h, c]
return decoded_sentence
2023-04-20 12:23:15.398942: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:15.399026: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:15.399062: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:15.449917: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:15.449996: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:15.450032: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:15.668308: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:15.668395: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:15.668431: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:15.686274: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:15.686345: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:15.686380: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:15.700791: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:15.700867: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:15.700901: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:15.797202: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:15.797284: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:15.797319: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:15.839856: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:15.839935: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:15.839970: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:15.858095: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:15.858191: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:15.858227: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:15.933873: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:15.933953: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:15.933988: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.036974: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.037047: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.037081: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.047943: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.048016: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.048052: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.112961: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.113037: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.113072: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.139166: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.139239: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.139275: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.156107: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.156183: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.156218: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.193225: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.193302: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.193337: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.216289: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.216366: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.216401: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.239064: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.239139: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.239175: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.250365: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.250433: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.250467: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.261493: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.261571: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.261607: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.272582: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.272652: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.272688: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.343527: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.343616: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.343653: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.390958: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_2_grad_concat_split_2_split_dim' with dtype int32
[[{{node gradients_split_2_grad_concat_split_2_split_dim}}]]
2023-04-20 12:23:16.391035: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_grad_concat_split_split_dim' with dtype int32
[[{{node gradients_split_grad_concat_split_split_dim}}]]
2023-04-20 12:23:16.391072: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients_split_1_grad_concat_split_1_split_dim' with dtype int32
[[{{node gradients_split_1_grad_concat_split_1_split_dim}}]]
2023-04-20 12:23:16.621253: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-04-20 12:23:16.622695: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-04-20 12:23:16.623447: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]
2023-04-20 12:23:16.720825: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-04-20 12:23:16.721721: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-04-20 12:23:16.722387: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]
2023-04-20 12:23:16.829809: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-04-20 12:23:16.830758: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-04-20 12:23:16.831408: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]You can now generate decoded sentences as such:
for seq_index in range(20):
# Take one sequence (part of the training set)
# for trying out decoding.
input_seq = encoder_input_data[seq_index : seq_index + 1]
decoded_sentence = decode_sequence(input_seq)
print("-")
print("Input sentence:", input_texts[seq_index])
print("Decoded sentence:", decoded_sentence)1/1 [==============================] - 0s 250ms/step2023-04-20 12:23:17.053980: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-04-20 12:23:17.055195: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-04-20 12:23:17.056076: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]1/1 [==============================] - 0s 220ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 17ms/step2023-04-20 12:23:17.315226: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2023-04-20 12:23:17.316235: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2023-04-20 12:23:17.316968: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 18ms/step
-
Input sentence: Go.
Decoded sentence: Congez-le.
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 50ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 17ms/step
-
Input sentence: Go.
Decoded sentence: Congez-le.
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - 0s 17ms/step
-
Input sentence: Go.
Decoded sentence: Congez-le.
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 51ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
-
Input sentence: Go.
Decoded sentence: Congez-le.
1/1 [==============================] - 0s 30ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 18ms/step
-
Input sentence: Hi.
Decoded sentence: Salut !
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 18ms/step
-
Input sentence: Hi.
Decoded sentence: Salut !
1/1 [==============================] - 0s 58ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 50ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 16ms/step
-
Input sentence: Run!
Decoded sentence: Cours !
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
-
Input sentence: Run!
Decoded sentence: Cours !
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 16ms/step
-
Input sentence: Run!
Decoded sentence: Cours !
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 42ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 17ms/step
-
Input sentence: Run!
Decoded sentence: Cours !
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
-
Input sentence: Run!
Decoded sentence: Cours !
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 16ms/step
-
Input sentence: Run!
Decoded sentence: Cours !
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 44ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
-
Input sentence: Run!
Decoded sentence: Cours !
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 24ms/step
1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 36ms/step
-
Input sentence: Run!
Decoded sentence: Cours !
1/1 [==============================] - 0s 54ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 29ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 27ms/step
1/1 [==============================] - 0s 27ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 21ms/step
-
Input sentence: Run.
Decoded sentence: Filez !
1/1 [==============================] - 0s 25ms/step
1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - 0s 35ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 26ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 17ms/step
-
Input sentence: Run.
Decoded sentence: Filez !
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 20ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 52ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 26ms/step
1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - 0s 18ms/step
-
Input sentence: Run.
Decoded sentence: Filez !
1/1 [==============================] - 0s 22ms/step
1/1 [==============================] - 0s 30ms/step
1/1 [==============================] - 0s 23ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 23ms/step
-
Input sentence: Run.
Decoded sentence: Filez !
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 18ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 45ms/step
1/1 [==============================] - 0s 21ms/step
-
Input sentence: Run.
Decoded sentence: Filez !
1/1 [==============================] - 0s 15ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 16ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 19ms/step
1/1 [==============================] - 0s 21ms/step
1/1 [==============================] - 0s 17ms/step
1/1 [==============================] - 0s 18ms/step
-
Input sentence: Run.
Decoded sentence: Filez !