multi

[jaredscheib]

No description provided.

[gradientci]

Paperspace Experiment Report

Project pril132he
Experiment es0qg4u00ddjve

User Defined Checks

Metric	Aggregate	Value	Success	Summary
tensorflow:loss	max	0.024805	✅	Metric tensorflow:loss/max is in range 0.000..1.000.
tensorflow:accuracy	median	0.992900	✅	Metric tensorflow:accuracy/median is in range 0.990..1.000.

Experiment Details

Experiment Parameters for Parameter Server

Parameter	Value
Machine Type	K80
Server Count	1
Command	python mnist.py
Container	tensorflow/tensorflow:1.13.1-gpu-py3

Experiment Parameters for Worker

Parameter	Value
Machine Type	K80
Server Count	2
Command	python mnist.py
Container	tensorflow/tensorflow:1.13.1-gpu-py3

Job Environments

Job 0

Parameter	Value
Handle	jaavwf3lkr413
GPU Name	Tesla K80
GPU Serial	0320617029016
GPU Device	/dev/nvidia0
GPU Driver	410.48
Hostname	gradient-host-1557264207-045251e4
CPU Count	2
CPU Model	Intel(R) Xeon(R) CPU @ 2.20GHz
Host Memory	12297216 kB

Job 1

Parameter	Value
Handle	j499sck77gsfw
GPU Name	Tesla K80
GPU Serial	0324916015504
GPU Device	/dev/nvidia0
GPU Driver	410.48
Hostname	gradient-host-1557264207-8536d574
CPU Count	2
CPU Model	Intel(R) Xeon(R) CPU @ 2.20GHz
Host Memory	12297216 kB

Job 2

Parameter	Value
Handle	jsdh6bblxydo03
GPU Name	Tesla K80
GPU Serial	0320817001455
GPU Device	/dev/nvidia0
GPU Driver	410.48
Hostname	gradient-host-1557264207-51df92c8
CPU Count	2
CPU Model	Intel(R) Xeon(R) CPU @ 2.20GHz
Host Memory	12297216 kB

[gradientci]

Paperspace Experiment Report

Project pril132he
Experiment es0qg4u00ddjve

User Defined Checks

Metric	Aggregate	Value	Success	Summary
tensorflow:loss	max	0.024805	✅	Metric tensorflow:loss/max is in range 0.000..1.000.
tensorflow:accuracy	median	0.992900	✅	Metric tensorflow:accuracy/median is in range 0.990..1.000.

Experiment Details

Experiment Parameters for Parameter Server

Parameter	Value
Machine Type	K80
Server Count	1
Command	python mnist.py
Container	tensorflow/tensorflow:1.13.1-gpu-py3

Experiment Parameters for Worker

Parameter	Value
Machine Type	K80
Server Count	2
Command	python mnist.py
Container	tensorflow/tensorflow:1.13.1-gpu-py3

Job Environments

Job 0

Parameter	Value
Handle	jaavwf3lkr413
GPU Name	Tesla K80
GPU Serial	0320617029016
GPU Device	/dev/nvidia0
GPU Driver	410.48
Hostname	gradient-host-1557264207-045251e4
CPU Count	2
CPU Model	Intel(R) Xeon(R) CPU @ 2.20GHz
Host Memory	12297216 kB

Job 1

Parameter	Value
Handle	j499sck77gsfw
GPU Name	Tesla K80
GPU Serial	0324916015504
GPU Device	/dev/nvidia0
GPU Driver	410.48
Hostname	gradient-host-1557264207-8536d574
CPU Count	2
CPU Model	Intel(R) Xeon(R) CPU @ 2.20GHz
Host Memory	12297216 kB

Job 2

Parameter	Value
Handle	jsdh6bblxydo03
GPU Name	Tesla K80
GPU Serial	0320817001455
GPU Device	/dev/nvidia0
GPU Driver	410.48
Hostname	gradient-host-1557264207-51df92c8
CPU Count	2
CPU Model	Intel(R) Xeon(R) CPU @ 2.20GHz
Host Memory	12297216 kB

[jaredscheib]

closing for testing.