* [Gophers Slack](https://gophers.slack.com), use the [invite app](https://invite.slack.golangbridge.org/) for access

* [Stack Overflow](https://stackoverflow.com/questions/tagged/go) with questions tagged "go"

# Save the current working directory and then switch to the output directory.
pushd "${TFCI_OUTPUT_DIR}"

# Unpack the wheel to get all the file contents. The pure python wheel we built
# above is tagged with "py3-none-any". We cannot change the tags by simply
# renaming the wheels as uploading to PyPI would fail with "File already exists"
# error. In order to upload to PyPI, we unpack the wheel and change the tag

      - name: Upload pip wheel to PyPI
        if: github.event_name == 'schedule' || (github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v2')) # only if it is a scheduled nightly or tagged
        shell: bash

  | grep -e "^//" -e "^@" \
  | grep -E -v "^//tensorflow" \
  | sed -e 's|:.*||' \
  | sort -u
}

# Verify that, given a build target and a license-list generator target, all of
# the dependencies of that target which include a license notice file are then
# included when generating that license. Necessary because the license targets

tracking requests and bugs, please see
[TensorFlow Forum](https://discuss.tensorflow.org/) for general questions and
discussion, and please direct specific questions to
[Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).**

The TensorFlow project strives to abide by generally accepted best practices in
open-source software development.

## Patching guidelines

    </magic>
    <glob pattern="*.svg"/>
    <glob pattern="*.svgz"/>
  </mime-type>

  <mime-type type="image/t38"/>

  <mime-type type="image/tiff">
    <acronym>TIFF</acronym>
    <_comment>Tagged Image File Format</_comment>
    <magic priority="50">
      <!-- MM.* = Big endian (M=Motorola) and 0x002a in big endian    -->
      <match value="MM\x00\x2a" type="string" offset="0"/>

*   `tf.linalg`
    *   Add `tf.linalg.banded_triangular_solve`.
*   `tf.random`:
    *   Add `tf.random.stateless_parameterized_truncated_normal`.
*   `tf.ragged`:
    *   Add `tf.ragged.cross` and `tf.ragged.cross_hashed` operations.
*   `tf.RaggedTensor`:
    *   `RaggedTensor.to_tensor()` now preserves static shape.
    *   Add `tf.strings.format()` and `tf.print()` to support RaggedTensors.

pkg encoding/asn1, const TagIA5String = 22
pkg encoding/asn1, const TagIA5String ideal-int
pkg encoding/asn1, const TagInteger = 2
pkg encoding/asn1, const TagInteger ideal-int
pkg encoding/asn1, const TagOID = 6
pkg encoding/asn1, const TagOID ideal-int
pkg encoding/asn1, const TagOctetString = 4
pkg encoding/asn1, const TagOctetString ideal-int
pkg encoding/asn1, const TagPrintableString = 19

                    target.setUrl(getFieldValue(fields.get("url"), String.class));
                    target.setExecutionTime(getFieldValue(fields.get("executionTime"), Integer.class));
                    target.setContentLength(getFieldValue(fields.get("contentLength"), Long.class));
                    target.setRuleId(getFieldValue(fields.get("ruleId"), String.class));

		*targetAddr = *target
	case target.Type == obj.TYPE_INDIR && (target.Name == obj.NAME_EXTERN || target.Name == obj.NAME_STATIC):
		// JMP *main·morestack(SB)
		*targetAddr = *target
		targetAddr.Type = obj.TYPE_INDIR
	case target.Type == obj.TYPE_MEM && target.Reg == 0 && target.Offset == 0:
		// JMP exit
		if target.Sym == nil {
			// Parse error left name unset.
			return
		}
		targetProg := p.labels[target.Sym.Name]