I have followed the venv and created the environment ,
Code block no : 8 is giving this issue
Code
def` process_files(file_names, label, repeat=1):
file_names = tf.repeat(file_names, repeat).numpy()
return [(process_file(file_name), label) for file_name in tqdm(file_names, desc=f"{word} ({label})", leave=False)]
# process the files for a word into the spectrogram and one hot encoding word value
def process_word(word, repeat=1):
# the index of the word word we are processing
label = words.index(word)
# get a list of files names for the word
file_names = [file_name for file_name in tqdm(get_files(word), desc="Checking", leave=False) if is_valid_file(file_name)]
# randomly shuffle the filenames
np.random.shuffle(file_names)
# split the files into train, validate and test buckets
train_size=int(TRAIN_SIZE*len(file_names))
validation_size=int(VALIDATION_SIZE*len(file_names))
test_size=int(TEST_SIZE*len(file_names))
# get the training samples
train.extend(
process_files(
file_names[:train_size],
label,
repeat=repeat
)
)
# and the validation samples
validate.extend(
process_files(
file_names[train_size:train_size+validation_size],
label,
repeat=repeat
)
)
# and the test samples
test.extend(
process_files(
file_names[train_size+validation_size:],
label,
repeat=repeat
)
)
# process all the words and all the files
for word in tqdm(words, desc="Processing words"):
if '_' not in word:
# add more examples of marvin to balance our training set
repeat = 70 if word == 'marvin' else 1
process_word(word, repeat=repeat)
print(len(train), len(test), len(validate))
Following is the error
ERROR
`--------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[8], line 47
44 if '_' not in word:
45 # add more examples of marvin to balance our training set
46 repeat = 70 if word == 'marvin' else 1
---> 47 process_word(word, repeat=repeat)
49 print(len(train), len(test), len(validate))
Cell In[8], line 10, in process_word(word, repeat)
8 label = words.index(word)
9 # get a list of files names for the word
---> 10 file_names = [file_name for file_name in tqdm(get_files(word), desc="Checking", leave=False) if is_valid_file(file_name)]
11 # randomly shuffle the filenames
12 np.random.shuffle(file_names)
Cell In[8], line 10, in <listcomp>(.0)
8 label = words.index(word)
9 # get a list of files names for the word
---> 10 file_names = [file_name for file_name in tqdm(get_files(word), desc="Checking", leave=False) if is_valid_file(file_name)]
11 # randomly shuffle the filenames
12 np.random.shuffle(file_names)
Cell In[5], line 28, in is_valid_file(file_name)
26 def is_valid_file(file_name):
27 # load the audio file
---> 28 audio_tensor = tfio.audio.AudioIOTensor(file_name)
29 # check the file is long enough
30 if not is_correct_length(audio_tensor, EXPECTED_SAMPLES):
File ~\Documents\TinyML\diy-alexa\model\.venv\Lib\site-packages\tensorflow_io\python\ops\audio_ops.py:664, in AudioIOTensor.__init__(self, filename, dtype)
662 if not tf.executing_eagerly():
663 assert dtype is not None, "dtype must be provided in graph mode"
--> 664 resource = core_ops.io_audio_readable_init(filename)
665 if tf.executing_eagerly():
666 shape, dtype, rate = core_ops.io_audio_readable_spec(resource)
File ~\Documents\TinyML\diy-alexa\model\.venv\Lib\site-packages\tensorflow_io\python\ops\__init__.py:88, in LazyLoader.__getattr__(self, attrb)
87 def __getattr__(self, attrb):
---> 88 return getattr(self._load(), attrb)
File ~\Documents\TinyML\diy-alexa\model\.venv\Lib\site-packages\tensorflow_io\python\ops\__init__.py:84, in LazyLoader._load(self)
82 def _load(self):
83 if self._mod is None:
---> 84 self._mod = _load_library(self._library)
85 return self._mod
File ~\Documents\TinyML\diy-alexa\model\.venv\Lib\site-packages\tensorflow_io\python\ops\__init__.py:69, in _load_library(filename, lib)
67 except (tf.errors.NotFoundError, OSError) as e:
68 errs.append(str(e))
---> 69 raise NotImplementedError(
70 "unable to open file: "
71 + f"{filename}, from paths: {filenames}\ncaused by: {errs}"
72 )
NotImplementedError: unable to open file: libtensorflow_io.so, from paths: ['C:\\Users\\nag\\Documents\\TinyML\\diy-alexa\\model\\.venv\\Lib\\site-packages\\tensorflow_io\\python\\ops\\libtensorflow_io.so']
caused by: ['C:\\Users\\nag\\Documents\\TinyML\\diy-alexa\\model\\.venv\\Lib\\site-packages\\tensorflow_io\\python\\ops\\libtensorflow_io.so not found']`
Hi ,
I have followed the venv and created the environment , Code block no : 8 is giving this issue
Code
Following is the error
ERROR