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multi #1

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commented May 7, 2019

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@gradientci

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commented May 7, 2019

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
1 similar comment
@gradientci

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commented May 7, 2019

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

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commented May 7, 2019

closing for testing.

@jaredscheib jaredscheib closed this May 7, 2019

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