// Once created and added to graphs, functions can be invoked by creating an
// operation whose operation type matches the function name.
typedef struct TF_Function TF_Function;

// Function definition options. TODO(iga): Define and implement
typedef struct TF_FunctionOptions TF_FunctionOptions;

// Sets the shape of the Tensor referenced by `output` in `graph` to
// the shape described by `dims` and `num_dims`.
//

[Google Python Style Guide](https://github.com/google/styleguide/blob/gh-pages/pyguide.md)

Use `pylint` to check your Python changes. To install `pylint` and check a file
with `pylint` against TensorFlow's custom style definition:

```bash
pip install pylint
pylint --rcfile=tensorflow/tools/ci_build/pylintrc myfile.py
```

Note `pylint --rcfile=tensorflow/tools/ci_build/pylintrc` should run from the

</p>

<h3 id="directives">Directives</h3>

<p>
The assembler uses various directives to bind text and data to symbol names.
For example, here is a simple complete function definition. The <code>TEXT</code>
directive declares the symbol <code>runtime·profileloop</code> and the instructions
that follow form the body of the function.

	"bytes"
	"errors"
	"io"
	"strings"
	"testing"
	"unicode"
	"unicode/utf8"
)

const smallMaxTokenSize = 256 // Much smaller for more efficient testing.

// Test white space table matches the Unicode definition.
func TestSpace(t *testing.T) {
	for r := rune(0); r <= utf8.MaxRune; r++ {
		if IsSpace(r) != unicode.IsSpace(r) {
			t.Fatalf("white space property disagrees: %#U should be %t", r, unicode.IsSpace(r))
		}
	}
}

}
</pre>

<p>
If the type definition specifies <a href="#Type_parameter_declarations">type parameters</a>,
the type name denotes a <i>generic type</i>.
Generic types must be <a href="#Instantiations">instantiated</a> when they
are used.
</p>

<pre>
type List[T any] struct {
	next  *List[T]
	value T
}
</pre>

<p>
In a type definition the given type cannot be a type parameter.

ByteDecode₅, according to FIPS 203, Algorithm 6, // followed by Decompress₅, according to FIPS 203, Definition 4.8. func ringDecodeAndDecompr(bb *[encodingSize5]byte) ringElement { return ringDecodeAndDecompr(bb[:], 5) } // ringCompressAndEncod appends a 352-byte encoding of a ring element to s, // compressing eight coefficients per eleven bytes. // // It implements Compress₁₁, according to FIPS 203, Definition 4.7, // followed by ByteEncode₁₁, according to FIPS 203, Algorithm 5. func ringCompressAndEncod(s...

	p.registerIndirect(a, prefix)
	// fmt.Printf("DONE %s\n", p.arch.Dconv(&emptyProg, 0, a))

	p.expectOperandEnd()
	return
}

// atStartOfRegister reports whether the parser is at the start of a register definition.
func (p *Parser) atStartOfRegister(name string) bool {
	// Simple register: R10.
	_, present := p.arch.Register[name]
	if present {
		return true
	}
	// Parenthesized register: R(10).

  print('You have Clang %s installed.\n' % curr_version)
  return curr_version


# Disable clang extension that rejects type definitions within offsetof.
# This was added in clang-16 by https://reviews.llvm.org/D133574.
# Still required for clang-17.
# Can be removed once upb is updated, since a type definition is used within
# offset of in the current version of ubp. See

        deprecated in TF 2.2.

*   `tf.lite`:

    *   `tf.quantization.quantize_and_dequantize_v2` has been introduced, which
        updates the gradient definition for quantization which is outside the
        range to be 0. To simulate the V1 the behavior of
        `tf.quantization.quantize_and_dequantize(...)` use

    -   Uses `pycpp.sh`, `code_check_changed_files.sh`

These "env" files match up with an environment matrix that roughly covers:

-   Different Python versions
-   Linux, MacOS, and Windows machines (these pool definitions are internal)
-   x86 and arm64
-   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs

## How to Test Your Changes to TensorFlow

You may check how your changes will affect TensorFlow by: