#### *Try your first TensorFlow program*

```shell
$ python
```

```python
>>> import tensorflow as tf
>>> tf.add(1, 2).numpy()
3
>>> hello = tf.constant('Hello, TensorFlow!')
>>> hello.numpy()
b'Hello, TensorFlow!'
```

For more examples, see the
[TensorFlow tutorials](https://www.tensorflow.org/tutorials/).

## Contribution guidelines

is raised.

@compatibility(numpy)
Similar to [`numpy.einsum`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html).

Comparison with `numpy.einsum`:

 * This Op only supports unary and binary forms of `numpy.einsum`.
 * This Op does not support implicit form. (i.e. equations without `->`).

//      (*deallocator)(data, len, deallocator_arg)
// Clients must provide a custom deallocator function so they can pass in
// memory managed by something like numpy.
//
// May return NULL (and invoke the deallocator) if the provided data buffer
// (data, len) is inconsistent with a tensor of the given TF_DataType
// and the shape specified by (dima, num_dims).

# limitations under the License.
# ==============================================================================
"""Tests for representative_dataset.py."""
import random

import numpy as np

from tensorflow.compiler.mlir.quantization.tensorflow.python import representative_dataset as repr_dataset
from tensorflow.core.protobuf import meta_graph_pb2
from tensorflow.python.client import session

          'with more than one signature key.'
      )


def _replace_tensors_by_numpy_ndarrays(
    repr_ds_map: rd.RepresentativeDatasetMapping,
) -> None:
  """Replaces tf.Tensors by their evaluated numpy arrays.

  This assumes that tf.Tensors in representative samples are created in the
  default Graph. It will raise an error if tensors are created in a different
  graph.

  Args:

#         "//tensorflow/python/util:compat",
#         "//tensorflow/tools/proto_splitter:constants",
#         "//tensorflow/tools/proto_splitter/python:saved_model",
#         "//third_party/py/numpy",
#         "@absl_py//absl:app",
#         "@absl_py//absl/flags",
#     ],
# )
#
# copybara:uncomment_end

# TODO(b/32673259): add a test to continuously validate these files.
filegroup(

    cryptography cycler Cython decorator google-api-python-client \
    google-auth google-auth-httplib2 grpcio httplib2 idna ipython-genutils \
    kiwisolver macholib matplotlib nose numpy packaging pandas pickleshare pip \
    prompt-toolkit protobuf psutil pyasn1 pyasn1-modules pycparser Pygments \
    pyparsing pyreadline python-dateutil pytz pywin32 requests rsa setuptools \

"""Defines CalibrationAlgorithm for calculating min and max values calculated by calibration method."""
import abc
import itertools
import logging

import numpy as np

from tensorflow.compiler.mlir.quantization.stablehlo import quantization_config_pb2 as stablehlo_quant_config_pb2

namex==0.0.8 \
    --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \
    --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487
    # via keras-nightly
numpy==1.26.4 ; python_version >= "3.12" \
    --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \
    --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \

namex==0.0.8 \
    --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \
    --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487
    # via keras-nightly
numpy==1.23.5 ; python_version <= "3.11" \
    --hash=sha256:01dd17cbb340bf0fc23981e52e1d18a9d4050792e8fb8363cecbf066a84b827d \
    --hash=sha256:06005a2ef6014e9956c09ba07654f9837d9e26696a0470e42beedadb78c11b07 \