tomginsberg

❯ bazel build //pip:pip --verbose_failures
INFO: Invocation ID: 1f41c117-577a-4751-9fb5-108254af44d8
INFO: Build option --host_force_python has changed, discarding analysis cache.
DEBUG: /home/tomginsberg/beit2/b2/bazel/rules/cerebras/configure.bzl:22:14: Cannot find the Cerebras SDK image /opt/Cerebras-SDK-0.9.0-202310042355-11-3a7b5a4f/cbcore_sdk-0.9.0-202310042355-11-21c056e8.sif
DEBUG: /home/tomginsberg/beit2/b2/bazel/rules/cerebras/configure.bzl:6:14: Cerebras targets are not supported.
DEBUG: /home/tomginsberg/beit2/b2/bazel/compilation/configure.bzl:26:14: Cannot find GCC version 13. Falling back to /usr/bin/gcc with version 12.
INFO: Analyzed target //pip:pip (0 packages loaded, 443 targets configured).
INFO: Found 1 target...
ERROR: /home/tomginsberg/beit2/pip/BUILD:8:13: wheel pip==21.3.1 failed: (Exit 1): wheel failed: error executing command
  (cd /home/tomginsberg/.cache/bazel/_bazel_tomginsberg/4c5c982af61c48e9e2e02938924e17e8/sandbox/linux-sandbox/5/execroot/beit2 && \

tomginsberg

import calendar
import datetime
import json
import os

import streamlit as st
import yaml
from time import sleep
from plotly import graph_objects as go
import numpy as np

tomginsberg

tomginsberg

{'sizeof_hdr': array(348, dtype=int32),
 'extents': array(0, dtype=int32),
 'session_error': array(0, dtype=int16),
 'dim_info': array(0, dtype=uint8),
 'dim': array([  3, 192, 156,  12,   1,   1,   1,   1], dtype=int16),
 'intent_p1': array(0., dtype=float32),
 'intent_p2': array(0., dtype=float32),
 'intent_p3': array(0., dtype=float32),
 'intent_code': array(0, dtype=int16),
 'datatype': array(2, dtype=int16),

tomginsberg

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tomginsberg

import tensorflow as tf
from typing import Tuple, Optional

import tensorflow as tf
from tensorflow.keras import Sequential, Model
from tensorflow.keras.layers import Conv3D, BatchNormalization, ReLU, Dropout, Dense, GlobalAveragePooling3D
from tensorflow.keras.initializers import GlorotNormal


class BasicStem(Sequential):

tomginsberg

import torch
from torch import tensor
from torch.nn.parameter import Parameter
import unittest
from unittest import TestCase

torch.manual_seed(42)

'''
Convolutions for augmented images