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README.md
#### *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
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Oct 05 15:00:10 UTC 2023 - 11.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
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 `->`).
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
tensorflow/c/tf_tensor.h
// (*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).
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tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset_test.py
# 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
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tensorflow/compiler/mlir/quantization/tensorflow/python/py_function_lib.py
'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:
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tensorflow/cc/saved_model/BUILD
# "//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(
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ci/devinfra/docker_windows/Dockerfile
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 \
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tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm.py
"""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
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requirements_lock_3_12.txt
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 \
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requirements_lock_3_10.txt
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 \
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