Skip to content

Instantly share code, notes, and snippets.

View alexkarargyris's full-sized avatar

Alexandros Karargyris alexkarargyris

  • MLCommons
  • Basel, Switzerland
View GitHub Profile
/Users/alexandroskarargyris/Desktop/XPHealthEnv/bin/python3 /Users/alexandroskarargyris/PycharmProjects/idash2020task1/train_cnn_or_nn.py
(array([], dtype=int64),) (1899, 11) (814, 11)
2020-10-19 12:52:19.917486: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2020-10-19 12:52:19.934841: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fa8d0bcda90 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-10-19 12:52:19.934862: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
========================
@alexkarargyris
alexkarargyris / idash
Created October 16, 2020 03:05
iDash NN
/Users/alexandroskarargyris/Desktop/XPHealthEnv/bin/python3 /Users/alexandroskarargyris/PycharmProjects/idash2020task1/train_cnn.py
(array([], dtype=int64),) (1899, 11) (814, 11)
2020-10-15 19:52:58.460474: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2020-10-15 19:52:58.584910: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7ff70a142980 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-10-15 19:52:58.584939: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
==============================
name: "AlexNet"
layer {
name: "data"
type: "Data"
top: "data"
top: "label"
include {
phase: TRAIN
}
transform_param {
name: "AlexNet"
layer {
name: "data"
type: "Data"
top: "data"
top: "label"
include {
phase: TRAIN
}
transform_param {