Remove tensorboard.dev code examples since the service will shut down in December 2023
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@ -2632,97 +2632,7 @@
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"cell_type": "markdown",
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {},
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"source": [
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"source": [
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"You can share your TensorBoard logs with the world by uploading them to https://tensorboard.dev/. For this, you can run the `tensorboard dev upload` command, with the `--logdir` and `--one_shot` options, and optionally the `--name` and `--description` options. The first time, it will ask you to accept Google's Terms of Service, and to authenticate.\n",
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"**Note**: it used to be possible to easily share your TensorBoard logs with the world by uploading them to https://tensorboard.dev/. Sadly, this service will shut down in December 2023, so I have removed the corresponding code examples from this notebook."
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"\n",
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"Notes:\n",
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"* Authenticating requires user input. Colab supports user input from shell commands, but the main other Jupyter environments do not, so for them we use a hackish workaround (alternatively, you could run the command in a terminal window, after you make sure to activate this project's conda environment and move to this notebook's directory).\n",
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"* If you get an authentication related error (such as *invalid_grant: Bad Request*), it's likely that your login session has expired. In this case, try running the command `tensorboard dev auth revoke` to logout, and try again."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 90,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"New experiment created. View your TensorBoard at: https://tensorboard.dev/experiment/il3YO6KgQHeQuMpX8cxgYw/\n",
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"\n",
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"\u001b[1m[2022-08-01T17:26:19]\u001b[0m Started scanning logdir.\n",
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"\u001b[1m[2022-08-01T17:26:25]\u001b[0m Total uploaded: 1120 scalars, 2000 tensors (1.2 MB), 1 binary objects (29.2 kB)\n",
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"\u001b[1m[2022-08-01T17:26:25]\u001b[0m Done scanning logdir.\n",
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"\n",
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"\n",
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"Done. View your TensorBoard at https://tensorboard.dev/experiment/il3YO6KgQHeQuMpX8cxgYw/\n"
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]
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}
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],
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"source": [
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"# extra code\n",
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"\n",
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"if \"google.colab\" in sys.modules:\n",
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" !tensorboard dev upload --logdir ./my_logs --one_shot \\\n",
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" --name \"Quick test\" --description \"This is a test\" \n",
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"else:\n",
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" from tensorboard.main import run_main\n",
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"\n",
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" argv = \"tensorboard dev upload --logdir ./my_logs --one_shot\".split()\n",
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" argv += [\"--name\", \"Quick test\", \"--description\", \"This is a test\"]\n",
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" try:\n",
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" original_sys_argv_and_sys_exit = sys.argv, sys.exit\n",
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" sys.argv, sys.exit = argv, lambda status: None\n",
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" run_main()\n",
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" finally:\n",
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" sys.argv, sys.exit = original_sys_argv_and_sys_exit"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"You can get list your published experiments:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 91,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"https://tensorboard.dev/experiment/il3YO6KgQHeQuMpX8cxgYw/\n",
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"\tName Quick test\n",
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"\tDescription This is a test\n",
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"\tId il3YO6KgQHeQuMpX8cxgYw\n",
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"\tCreated 2022-08-01 17:26:19 (20 seconds ago)\n",
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"\tUpdated 2022-08-01 17:26:25 (14 seconds ago)\n",
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"\tRuns 3\n",
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"\tTags 8\n",
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"\tScalars 1120\n",
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"\tTensor bytes 1421436\n",
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"\tBinary object bytes 30096\n",
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"Total: 1 experiment(s)\n"
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]
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}
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],
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"source": [
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"!tensorboard dev list"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"To delete an experiment, use the following command:\n",
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"\n",
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"```python\n",
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"!tensorboard dev delete --experiment_id <experiment_id>\n",
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"```"
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]
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]
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"execution_count": 92,
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" 'optimizer': 'adam'}"
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" 'optimizer': 'adam'}"
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]
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"execution_count": 99,
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"0.8736000061035156"
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"0.8736000061035156"
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"execution_count": 115,
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"execution_count": 113,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
|
@ -3382,7 +3292,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 116,
|
"execution_count": 114,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
@ -3422,7 +3332,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 117,
|
"execution_count": 115,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -3441,7 +3351,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 118,
|
"execution_count": 116,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -3452,7 +3362,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 119,
|
"execution_count": 117,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -3473,7 +3383,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 120,
|
"execution_count": 118,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -3492,7 +3402,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 121,
|
"execution_count": 119,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
@ -3518,7 +3428,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 122,
|
"execution_count": 120,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
@ -3527,7 +3437,7 @@
|
||||||
"Text(0, 0.5, 'Loss')"
|
"Text(0, 0.5, 'Loss')"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 122,
|
"execution_count": 120,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
},
|
},
|
||||||
|
@ -3563,7 +3473,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 123,
|
"execution_count": 121,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -3574,7 +3484,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 124,
|
"execution_count": 122,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -3588,7 +3498,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 125,
|
"execution_count": 123,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -3599,7 +3509,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 126,
|
"execution_count": 124,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
@ -3608,7 +3518,7 @@
|
||||||
"PosixPath('my_mnist_logs/run_001')"
|
"PosixPath('my_mnist_logs/run_001')"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 126,
|
"execution_count": 124,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
|
@ -3621,7 +3531,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 127,
|
"execution_count": 125,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
@ -3693,7 +3603,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 128,
|
"execution_count": 126,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
@ -3709,7 +3619,7 @@
|
||||||
"[0.07079131156206131, 0.9799000024795532]"
|
"[0.07079131156206131, 0.9799000024795532]"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 128,
|
"execution_count": 126,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
|
@ -3728,7 +3638,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 129,
|
"execution_count": 127,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
@ -3786,7 +3696,7 @@
|
||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.10.6"
|
"version": "3.9.10"
|
||||||
},
|
},
|
||||||
"nav_menu": {
|
"nav_menu": {
|
||||||
"height": "264px",
|
"height": "264px",
|
||||||
|
|
Loading…
Reference in New Issue