🔒 Anaconda can't built-in environment "tf-gpu"

[steel elk]

Hi after i installed anaconda
they gave me a tf-gpu with python 3.9.18 and tensorflow 2.6.0
i cant update tensorflow in that environment

[humble pelican]

@steel elk

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[marble marsh]

Now, add more details for those who might try to help you. What have you tried to do to upgrade tensorflow?

[marble marsh]

I just did a quick internet search. Did you try to upgrade via pip?

pip install tensorflow --upgrade

[steel elk]

i tried pip install --upgrade tensorflow-gpu and it failed

im trying your

look like it is downloading

can i use both cpu and gpu version?

[marble marsh]

Again, I have no experience with anaconda. I'm sure enough people have had this kind of issue that a solution is somewhere on the internet.

[marble marsh]

I've never used tensorflow, I can't answer that.

[steel elk]

cool it updated the other but tensorflow

lemme try in pycharm if it could run the test code

oh ye of course

[marble marsh]

https://docs.anaconda.com/working-with-conda/applications/tensorflow/

You did this?

conda create -n tf-gpu tensorflow-gpu
conda activate tf-gpu

[steel elk]

no i didnt

they created it after i downloaded anaconda

[marble marsh]

Well, I recommend reading the docs. 👍

[polar rock]

@marble marsh okay

if you want to use version conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0

@steel elk give me the code

[steel elk]

os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'

import tensorflow as tf
mnist = tf.keras.datasets.mnist

(x_train, y_train),(x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0

model = tf.keras.models.Sequential([
  tf.keras.layers.Flatten(input_shape=(28, 28)),
  tf.keras.layers.Dense(128, activation='relu'),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(10, activation='softmax')
])

model.compile(optimizer='adam',
  loss='sparse_categorical_crossentropy',
  metrics=['accuracy'])

model.fit(x_train, y_train, epochs=5)
model.evaluate(x_test, y_test)```

[humble pelican]

Hey @steel elk!

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```

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You can **edit your original message** to correct your code block.

[steel elk]

oh for freak sake

[polar rock]

from tensorflow import keras

@steel elk u should check the model if it set or not

or check pip show tensorflow TensorFlow 2.x should have tensorflow.keras

[steel elk]

i meant in the other environment it working fine

[polar rock]

okay give me the code

[steel elk]

still the same

or because it is cpu version?

i downloaded cpu version on python 3.11

[steel elk]

also i did still not working

[polar rock]

import tensorflow as tf
print(tf.version)

make sure bro the problem is in set

should use the version : TensorFlow 2.x

[steel elk]

oh wait a second

look like pycharm didnt understand

even version cant use

[polar rock]

Try To use Visual Studio Code 🙂

[steel elk]

uhhh idk im downloaded pycharm tho

or we freaked

not pycharm problem

[polar rock]

bro u didnt install the module 🙂

[steel elk]

huh

[polar rock]

Try to reinstall it

[steel elk]

installed

but it still

kinda weird

[polar rock]

It appears that the module is not defined on Pycharm

[steel elk]

but i installed in environment

pip install tensorflow right?

[polar rock]

i'm arabic so I understand your words to an average degree

[polar rock]

yup

[steel elk]

ye i did

[cobalt yacht]

what does

import tensorflow as tf
print(tf.__file__)
``` say?

[steel elk]

that is weird

none

are we freaked

forget about it

what is anaconda benefit

[steel elk]

when ever i run it

it appear
2024-08-31 17:44:43.400942: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-08-31 17:44:43.934679: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. D:\PycharmProjects\pythonTest\.venv\Lib\site-packages\keras\src\layers\reshaping\flatten.py:37: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead. super().__init__(**kwargs) 2024-08-31 17:44:45.098288: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.

does it harmful?

[broken swallow]

Anaconda not much benefit (none at all really)

[steel elk]

bruh

[humble pelican]

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