local mode: support output_path - #449

Merged
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output
Nov 2, 2018
Merged

local mode: support output_path#449
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output

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Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.

Issue #, if available:

Description of changes:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
@codecov-io

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Codecov Report

Merging #449 into master will decrease coverage by 0.07%.
The diff coverage is 91.35%.

Impacted file tree graph

@@ Coverage Diff @@## master #449 +/- ##
==========================================
- Coverage 93.75% 93.68% -0.08% 
==========================================
Files 55 55 Lines 4034 4051 +17 ==========================================
+ Hits 3782 3795 +13 - Misses 252 256 +4
Impacted FilesCoverage Δ
src/sagemaker/fw_utils.py100% <100%> (ø)⬆️
src/sagemaker/local/utils.py96.96% <100%> (+0.3%)⬆️
src/sagemaker/local/entities.py95.23% <100%> (+0.06%)⬆️
src/sagemaker/estimator.py89.59% <100%> (+0.07%)⬆️
src/sagemaker/utils.py91.15% <100%> (+0.85%)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/local/local_session.py88.88% <100%> (ø)⬆️
src/sagemaker/local/data.py93.91% <66.66%> (-0.73%)⬇️
src/sagemaker/local/image.py89.8% <86.95%> (-1.02%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...95ad797. Read the comment docs.

self._current_job_name = None
if (not self.sagemaker_session.local_mode
and output_path and output_path.startswith('file://')):
raise RuntimeError('file:// output paths are only supported in Local Mode')

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👌

model_files = [os.path.join(model_artifacts, name) for name in os.listdir(model_artifacts)]
output_files = [os.path.join(output_artifacts, name) for name in os.listdir(output_artifacts)]
sagemaker.utils.create_tar_file(model_files, os.path.join(compressed_artifacts, 'model.tar.gz'))
sagemaker.utils.create_tar_file(output_files, os.path.join(compressed_artifacts, 'output.tar.gz'))

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Should that be a function? (all 5 lines)
that seems a bit repetitive.

_delete_tree(output_artifacts)

return s3_model_artifacts
return os.path.join(output_data, 'model.tar.gz')

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Since we moved both files should we return both (model and output) too??

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Not really, SageMaker just returns the S3ModelArtifacts - if you want to look at output.tar.gz you basically have to do a replace in the string. This gets sent directly to the local client describeTrainingJob()

nadiaya
nadiaya previously approved these changes Nov 2, 2018
@iquintero
iquintero merged commit 3d091b4 into aws:masterNov 2, 2018
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
output_path is now honored:
Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
input_channel content_type is now honored in the same way as SageMaker. If it is not provided it is not passed to the container. Before we were always passing 'application/octet-stream'
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@iquintero@codecov-io@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

local mode: support output_path - #449

Merged
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output
Nov 2, 2018
Merged

local mode: support output_path#449
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output

Conversation

@iquintero

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Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.

Issue #, if available:

Description of changes:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
@codecov-io

Copy link
Copy Markdown

Codecov Report

Merging #449 into master will decrease coverage by 0.07%.
The diff coverage is 91.35%.

Impacted file tree graph

@@ Coverage Diff @@## master #449 +/- ##
==========================================
- Coverage 93.75% 93.68% -0.08% 
==========================================
Files 55 55 Lines 4034 4051 +17 ==========================================
+ Hits 3782 3795 +13 - Misses 252 256 +4
Impacted FilesCoverage Δ
src/sagemaker/fw_utils.py100% <100%> (ø)⬆️
src/sagemaker/local/utils.py96.96% <100%> (+0.3%)⬆️
src/sagemaker/local/entities.py95.23% <100%> (+0.06%)⬆️
src/sagemaker/estimator.py89.59% <100%> (+0.07%)⬆️
src/sagemaker/utils.py91.15% <100%> (+0.85%)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/local/local_session.py88.88% <100%> (ø)⬆️
src/sagemaker/local/data.py93.91% <66.66%> (-0.73%)⬇️
src/sagemaker/local/image.py89.8% <86.95%> (-1.02%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...95ad797. Read the comment docs.

self._current_job_name = None
if (not self.sagemaker_session.local_mode
and output_path and output_path.startswith('file://')):
raise RuntimeError('file:// output paths are only supported in Local Mode')

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👌

model_files = [os.path.join(model_artifacts, name) for name in os.listdir(model_artifacts)]
output_files = [os.path.join(output_artifacts, name) for name in os.listdir(output_artifacts)]
sagemaker.utils.create_tar_file(model_files, os.path.join(compressed_artifacts, 'model.tar.gz'))
sagemaker.utils.create_tar_file(output_files, os.path.join(compressed_artifacts, 'output.tar.gz'))

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Should that be a function? (all 5 lines)
that seems a bit repetitive.

_delete_tree(output_artifacts)

return s3_model_artifacts
return os.path.join(output_data, 'model.tar.gz')

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Since we moved both files should we return both (model and output) too??

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ContributorAuthor

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Not really, SageMaker just returns the S3ModelArtifacts - if you want to look at output.tar.gz you basically have to do a replace in the string. This gets sent directly to the local client describeTrainingJob()

nadiaya
nadiaya previously approved these changes Nov 2, 2018
@iquintero
iquintero merged commit 3d091b4 into aws:masterNov 2, 2018
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
output_path is now honored:
Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
input_channel content_type is now honored in the same way as SageMaker. If it is not provided it is not passed to the container. Before we were always passing 'application/octet-stream'
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3 participants

@iquintero@codecov-io@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

local mode: support output_path - #449

Merged
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output
Nov 2, 2018
Merged

local mode: support output_path#449
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output

Conversation

@iquintero

Copy link
Copy Markdown
Contributor

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.

Issue #, if available:

Description of changes:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
@codecov-io

Copy link
Copy Markdown

Codecov Report

Merging #449 into master will decrease coverage by 0.07%.
The diff coverage is 91.35%.

Impacted file tree graph

@@ Coverage Diff @@## master #449 +/- ##
==========================================
- Coverage 93.75% 93.68% -0.08% 
==========================================
Files 55 55 Lines 4034 4051 +17 ==========================================
+ Hits 3782 3795 +13 - Misses 252 256 +4
Impacted FilesCoverage Δ
src/sagemaker/fw_utils.py100% <100%> (ø)⬆️
src/sagemaker/local/utils.py96.96% <100%> (+0.3%)⬆️
src/sagemaker/local/entities.py95.23% <100%> (+0.06%)⬆️
src/sagemaker/estimator.py89.59% <100%> (+0.07%)⬆️
src/sagemaker/utils.py91.15% <100%> (+0.85%)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/local/local_session.py88.88% <100%> (ø)⬆️
src/sagemaker/local/data.py93.91% <66.66%> (-0.73%)⬇️
src/sagemaker/local/image.py89.8% <86.95%> (-1.02%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...95ad797. Read the comment docs.

self._current_job_name = None
if (not self.sagemaker_session.local_mode
and output_path and output_path.startswith('file://')):
raise RuntimeError('file:// output paths are only supported in Local Mode')

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Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

👌

model_files = [os.path.join(model_artifacts, name) for name in os.listdir(model_artifacts)]
output_files = [os.path.join(output_artifacts, name) for name in os.listdir(output_artifacts)]
sagemaker.utils.create_tar_file(model_files, os.path.join(compressed_artifacts, 'model.tar.gz'))
sagemaker.utils.create_tar_file(output_files, os.path.join(compressed_artifacts, 'output.tar.gz'))

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Choose a reason for hiding this comment

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Should that be a function? (all 5 lines)
that seems a bit repetitive.

_delete_tree(output_artifacts)

return s3_model_artifacts
return os.path.join(output_data, 'model.tar.gz')

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Contributor

Choose a reason for hiding this comment

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Since we moved both files should we return both (model and output) too??

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ContributorAuthor

Choose a reason for hiding this comment

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Not really, SageMaker just returns the S3ModelArtifacts - if you want to look at output.tar.gz you basically have to do a replace in the string. This gets sent directly to the local client describeTrainingJob()

nadiaya
nadiaya previously approved these changes Nov 2, 2018
@iquintero
iquintero merged commit 3d091b4 into aws:masterNov 2, 2018
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
output_path is now honored:
Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
input_channel content_type is now honored in the same way as SageMaker. If it is not provided it is not passed to the container. Before we were always passing 'application/octet-stream'
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

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Successfully merging this pull request may close these issues.

3 participants

@iquintero@codecov-io@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

local mode: support output_path - #449

Merged
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output
Nov 2, 2018
Merged

local mode: support output_path#449
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output

Conversation

@iquintero

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Contributor

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.

Issue #, if available:

Description of changes:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
@codecov-io

Copy link
Copy Markdown

Codecov Report

Merging #449 into master will decrease coverage by 0.07%.
The diff coverage is 91.35%.

Impacted file tree graph

@@ Coverage Diff @@## master #449 +/- ##
==========================================
- Coverage 93.75% 93.68% -0.08% 
==========================================
Files 55 55 Lines 4034 4051 +17 ==========================================
+ Hits 3782 3795 +13 - Misses 252 256 +4
Impacted FilesCoverage Δ
src/sagemaker/fw_utils.py100% <100%> (ø)⬆️
src/sagemaker/local/utils.py96.96% <100%> (+0.3%)⬆️
src/sagemaker/local/entities.py95.23% <100%> (+0.06%)⬆️
src/sagemaker/estimator.py89.59% <100%> (+0.07%)⬆️
src/sagemaker/utils.py91.15% <100%> (+0.85%)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/local/local_session.py88.88% <100%> (ø)⬆️
src/sagemaker/local/data.py93.91% <66.66%> (-0.73%)⬇️
src/sagemaker/local/image.py89.8% <86.95%> (-1.02%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...95ad797. Read the comment docs.

self._current_job_name = None
if (not self.sagemaker_session.local_mode
and output_path and output_path.startswith('file://')):
raise RuntimeError('file:// output paths are only supported in Local Mode')

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Choose a reason for hiding this comment

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👌

model_files = [os.path.join(model_artifacts, name) for name in os.listdir(model_artifacts)]
output_files = [os.path.join(output_artifacts, name) for name in os.listdir(output_artifacts)]
sagemaker.utils.create_tar_file(model_files, os.path.join(compressed_artifacts, 'model.tar.gz'))
sagemaker.utils.create_tar_file(output_files, os.path.join(compressed_artifacts, 'output.tar.gz'))

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Should that be a function? (all 5 lines)
that seems a bit repetitive.

_delete_tree(output_artifacts)

return s3_model_artifacts
return os.path.join(output_data, 'model.tar.gz')

Copy link
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Contributor

Choose a reason for hiding this comment

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Since we moved both files should we return both (model and output) too??

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ContributorAuthor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Not really, SageMaker just returns the S3ModelArtifacts - if you want to look at output.tar.gz you basically have to do a replace in the string. This gets sent directly to the local client describeTrainingJob()

nadiaya
nadiaya previously approved these changes Nov 2, 2018
@iquintero
iquintero merged commit 3d091b4 into aws:masterNov 2, 2018
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
output_path is now honored:
Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
input_channel content_type is now honored in the same way as SageMaker. If it is not provided it is not passed to the container. Before we were always passing 'application/octet-stream'
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@iquintero@codecov-io@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

local mode: support output_path - #449

Merged
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output
Nov 2, 2018
Merged

local mode: support output_path#449
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output

Conversation

@iquintero

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Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.

Issue #, if available:

Description of changes:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
@codecov-io

Copy link
Copy Markdown

Codecov Report

Merging #449 into master will decrease coverage by 0.07%.
The diff coverage is 91.35%.

Impacted file tree graph

@@ Coverage Diff @@## master #449 +/- ##
==========================================
- Coverage 93.75% 93.68% -0.08% 
==========================================
Files 55 55 Lines 4034 4051 +17 ==========================================
+ Hits 3782 3795 +13 - Misses 252 256 +4
Impacted FilesCoverage Δ
src/sagemaker/fw_utils.py100% <100%> (ø)⬆️
src/sagemaker/local/utils.py96.96% <100%> (+0.3%)⬆️
src/sagemaker/local/entities.py95.23% <100%> (+0.06%)⬆️
src/sagemaker/estimator.py89.59% <100%> (+0.07%)⬆️
src/sagemaker/utils.py91.15% <100%> (+0.85%)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/local/local_session.py88.88% <100%> (ø)⬆️
src/sagemaker/local/data.py93.91% <66.66%> (-0.73%)⬇️
src/sagemaker/local/image.py89.8% <86.95%> (-1.02%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...95ad797. Read the comment docs.

self._current_job_name = None
if (not self.sagemaker_session.local_mode
and output_path and output_path.startswith('file://')):
raise RuntimeError('file:// output paths are only supported in Local Mode')

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👌

model_files = [os.path.join(model_artifacts, name) for name in os.listdir(model_artifacts)]
output_files = [os.path.join(output_artifacts, name) for name in os.listdir(output_artifacts)]
sagemaker.utils.create_tar_file(model_files, os.path.join(compressed_artifacts, 'model.tar.gz'))
sagemaker.utils.create_tar_file(output_files, os.path.join(compressed_artifacts, 'output.tar.gz'))

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Should that be a function? (all 5 lines)
that seems a bit repetitive.

_delete_tree(output_artifacts)

return s3_model_artifacts
return os.path.join(output_data, 'model.tar.gz')

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Since we moved both files should we return both (model and output) too??

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Not really, SageMaker just returns the S3ModelArtifacts - if you want to look at output.tar.gz you basically have to do a replace in the string. This gets sent directly to the local client describeTrainingJob()

nadiaya
nadiaya previously approved these changes Nov 2, 2018
@iquintero
iquintero merged commit 3d091b4 into aws:masterNov 2, 2018
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
output_path is now honored:
Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
input_channel content_type is now honored in the same way as SageMaker. If it is not provided it is not passed to the container. Before we were always passing 'application/octet-stream'
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3 participants

@iquintero@codecov-io@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

local mode: support output_path - #449

Merged
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output
Nov 2, 2018
Merged

local mode: support output_path#449
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output

Conversation

@iquintero

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Contributor

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.

Issue #, if available:

Description of changes:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
@codecov-io

Copy link
Copy Markdown

Codecov Report

Merging #449 into master will decrease coverage by 0.07%.
The diff coverage is 91.35%.

Impacted file tree graph

@@ Coverage Diff @@## master #449 +/- ##
==========================================
- Coverage 93.75% 93.68% -0.08% 
==========================================
Files 55 55 Lines 4034 4051 +17 ==========================================
+ Hits 3782 3795 +13 - Misses 252 256 +4
Impacted FilesCoverage Δ
src/sagemaker/fw_utils.py100% <100%> (ø)⬆️
src/sagemaker/local/utils.py96.96% <100%> (+0.3%)⬆️
src/sagemaker/local/entities.py95.23% <100%> (+0.06%)⬆️
src/sagemaker/estimator.py89.59% <100%> (+0.07%)⬆️
src/sagemaker/utils.py91.15% <100%> (+0.85%)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/local/local_session.py88.88% <100%> (ø)⬆️
src/sagemaker/local/data.py93.91% <66.66%> (-0.73%)⬇️
src/sagemaker/local/image.py89.8% <86.95%> (-1.02%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...95ad797. Read the comment docs.

self._current_job_name = None
if (not self.sagemaker_session.local_mode
and output_path and output_path.startswith('file://')):
raise RuntimeError('file:// output paths are only supported in Local Mode')

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Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

👌

model_files = [os.path.join(model_artifacts, name) for name in os.listdir(model_artifacts)]
output_files = [os.path.join(output_artifacts, name) for name in os.listdir(output_artifacts)]
sagemaker.utils.create_tar_file(model_files, os.path.join(compressed_artifacts, 'model.tar.gz'))
sagemaker.utils.create_tar_file(output_files, os.path.join(compressed_artifacts, 'output.tar.gz'))

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Choose a reason for hiding this comment

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Should that be a function? (all 5 lines)
that seems a bit repetitive.

_delete_tree(output_artifacts)

return s3_model_artifacts
return os.path.join(output_data, 'model.tar.gz')

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Since we moved both files should we return both (model and output) too??

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Not really, SageMaker just returns the S3ModelArtifacts - if you want to look at output.tar.gz you basically have to do a replace in the string. This gets sent directly to the local client describeTrainingJob()

nadiaya
nadiaya previously approved these changes Nov 2, 2018
@iquintero
iquintero merged commit 3d091b4 into aws:masterNov 2, 2018
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
output_path is now honored:
Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
input_channel content_type is now honored in the same way as SageMaker. If it is not provided it is not passed to the container. Before we were always passing 'application/octet-stream'
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

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Successfully merging this pull request may close these issues.

3 participants

@iquintero@codecov-io@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

local mode: support output_path - #449

Merged
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output
Nov 2, 2018
Merged

local mode: support output_path#449
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output

Conversation

@iquintero

Copy link
Copy Markdown
Contributor

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.

Issue #, if available:

Description of changes:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
@codecov-io

Copy link
Copy Markdown

Codecov Report

Merging #449 into master will decrease coverage by 0.07%.
The diff coverage is 91.35%.

Impacted file tree graph

@@ Coverage Diff @@## master #449 +/- ##
==========================================
- Coverage 93.75% 93.68% -0.08% 
==========================================
Files 55 55 Lines 4034 4051 +17 ==========================================
+ Hits 3782 3795 +13 - Misses 252 256 +4
Impacted FilesCoverage Δ
src/sagemaker/fw_utils.py100% <100%> (ø)⬆️
src/sagemaker/local/utils.py96.96% <100%> (+0.3%)⬆️
src/sagemaker/local/entities.py95.23% <100%> (+0.06%)⬆️
src/sagemaker/estimator.py89.59% <100%> (+0.07%)⬆️
src/sagemaker/utils.py91.15% <100%> (+0.85%)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/local/local_session.py88.88% <100%> (ø)⬆️
src/sagemaker/local/data.py93.91% <66.66%> (-0.73%)⬇️
src/sagemaker/local/image.py89.8% <86.95%> (-1.02%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...95ad797. Read the comment docs.

self._current_job_name = None
if (not self.sagemaker_session.local_mode
and output_path and output_path.startswith('file://')):
raise RuntimeError('file:// output paths are only supported in Local Mode')

Copy link
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Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

👌

model_files = [os.path.join(model_artifacts, name) for name in os.listdir(model_artifacts)]
output_files = [os.path.join(output_artifacts, name) for name in os.listdir(output_artifacts)]
sagemaker.utils.create_tar_file(model_files, os.path.join(compressed_artifacts, 'model.tar.gz'))
sagemaker.utils.create_tar_file(output_files, os.path.join(compressed_artifacts, 'output.tar.gz'))

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Choose a reason for hiding this comment

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Should that be a function? (all 5 lines)
that seems a bit repetitive.

_delete_tree(output_artifacts)

return s3_model_artifacts
return os.path.join(output_data, 'model.tar.gz')

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Since we moved both files should we return both (model and output) too??

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ContributorAuthor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Not really, SageMaker just returns the S3ModelArtifacts - if you want to look at output.tar.gz you basically have to do a replace in the string. This gets sent directly to the local client describeTrainingJob()

nadiaya
nadiaya previously approved these changes Nov 2, 2018
@iquintero
iquintero merged commit 3d091b4 into aws:masterNov 2, 2018
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
output_path is now honored:
Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
input_channel content_type is now honored in the same way as SageMaker. If it is not provided it is not passed to the container. Before we were always passing 'application/octet-stream'
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

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Development

Successfully merging this pull request may close these issues.

3 participants

@iquintero@codecov-io@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

local mode: support output_path - #449

Merged
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output
Nov 2, 2018
Merged

local mode: support output_path#449
iquintero merged 4 commits into
aws:masterfrom
iquintero:lm_training_output

Conversation

@iquintero

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Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.

Issue #, if available:

Description of changes:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
@codecov-io

Copy link
Copy Markdown

Codecov Report

Merging #449 into master will decrease coverage by 0.07%.
The diff coverage is 91.35%.

Impacted file tree graph

@@ Coverage Diff @@## master #449 +/- ##
==========================================
- Coverage 93.75% 93.68% -0.08% 
==========================================
Files 55 55 Lines 4034 4051 +17 ==========================================
+ Hits 3782 3795 +13 - Misses 252 256 +4
Impacted FilesCoverage Δ
src/sagemaker/fw_utils.py100% <100%> (ø)⬆️
src/sagemaker/local/utils.py96.96% <100%> (+0.3%)⬆️
src/sagemaker/local/entities.py95.23% <100%> (+0.06%)⬆️
src/sagemaker/estimator.py89.59% <100%> (+0.07%)⬆️
src/sagemaker/utils.py91.15% <100%> (+0.85%)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/local/local_session.py88.88% <100%> (ø)⬆️
src/sagemaker/local/data.py93.91% <66.66%> (-0.73%)⬇️
src/sagemaker/local/image.py89.8% <86.95%> (-1.02%)⬇️

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self._current_job_name = None
if (not self.sagemaker_session.local_mode
and output_path and output_path.startswith('file://')):
raise RuntimeError('file:// output paths are only supported in Local Mode')

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👌

model_files = [os.path.join(model_artifacts, name) for name in os.listdir(model_artifacts)]
output_files = [os.path.join(output_artifacts, name) for name in os.listdir(output_artifacts)]
sagemaker.utils.create_tar_file(model_files, os.path.join(compressed_artifacts, 'model.tar.gz'))
sagemaker.utils.create_tar_file(output_files, os.path.join(compressed_artifacts, 'output.tar.gz'))

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Should that be a function? (all 5 lines)
that seems a bit repetitive.

_delete_tree(output_artifacts)

return s3_model_artifacts
return os.path.join(output_data, 'model.tar.gz')

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Since we moved both files should we return both (model and output) too??

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Not really, SageMaker just returns the S3ModelArtifacts - if you want to look at output.tar.gz you basically have to do a replace in the string. This gets sent directly to the local client describeTrainingJob()

nadiaya
nadiaya previously approved these changes Nov 2, 2018
@iquintero
iquintero merged commit 3d091b4 into aws:masterNov 2, 2018
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
output_path is now honored:
Can be either file:// or s3:// - This also changes the default
behavior of local mode to use the SDK provided default S3 bucket
if nothing is passed. This makes it easier for customers to create
models in SageMaker too since their Model Artifacts will already be
a tarfile in S3.
input_channel content_type is now honored in the same way as SageMaker. If it is not provided it is not passed to the container. Before we were always passing 'application/octet-stream'
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3 participants

@iquintero@codecov-io@nadiaya