Skip to content

No output when training script is ran #62

@mkillah

Description

@mkillah

Hi, thank you for sharing this amazing project with the rest of the world. I have the honour to use maia for my experimentation, but I have some problems and you may be able to help me with.

Problem:

I have managed to succeed in creating my own network from point 1 to point 4. I have data separated into training and validation data - pgns and I double-checked paths to data and config.

But I am stuck at point 4 (Run the training script move_prediction/train_maia.py PATH_TO_CONFIG).

When I run the script I get the message that nothing happens afterwards and no data is generated:

2024-02-22 21:38:59.828812: I tensorflow/core/util/port.cc:113] 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.
WARNING:tensorflow:From C:\Users\marko\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.

2024-02-22 16:39:17 dataset:
input_test: virtualPlayerNet/validation//
input_train: virtualPlayerNet/training//
gpu: 0
model:
filters: 64
residual_blocks: 6
se_ratio: 8
training:
batch_size: 1024
checkpoint_steps: 10000
lr_boundaries:

  • 80000
  • 200000
  • 360000
    lr_values:
  • 0.1
  • 0.01
  • 0.001
  • 0.0001
    num_batch_splits: 1
    policy_loss_weight: 1.0
    precision: half
    shuffle_size: 250000
    test_steps: 2000
    total_steps: 400000
    train_avg_report_steps: 50
    value_loss_weight: 1.0

2024-02-22 16:39:17 found [] chunk dirs
2024-02-22 16:39:17 found 0 chunks total
Not enough chunks 0

I think there is no trainingdata-tool.exe and the script can not convert pgns to .gz files. Does anyone have trainingdata-tool.exe?

It would be delightful if someone could give me a direction :)

Cheers

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type
    No fields configured for issues without a type.

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions