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Results 31 - 40 of 44 for Numpy (0.1 sec)
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requirements_lock_3_9.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 \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 19:00:33 UTC 2024 - 43K bytes - Viewed (0) -
requirements_lock_3_11.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 \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 19:00:33 UTC 2024 - 42.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.td
(TF_RoundOp:$res TF_IntTensor:$input), (TF_IdentityOp $input)>; // Implements TF Round on floats using basic operations. TF Round is specified // as RoundHalfToEven to be compatible with Numpy. def LowerRoundOpOnFloatTensor : Pat< (TF_RoundOp:$res TF_FloatTensor:$input), (TF_SelectV2Op (TF_EqualOp (TF_ConstOp:$zero (GetScalarOfFloatType<"0.0"> $input)), (TF_SelectV2Op:$rounded
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 24.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.cc
// explicitly by running a TPUReplicatedOutput operation on the parallel device. // // TODO(allenl): There are some use-cases that are only supported by copying to // host at the moment (e.g. debug print on a tensor, .numpy(), etc.). We either // need to return something here or address these use-cases one by one. TFE_TensorHandle* CopyTensorFromParallelDevice(TFE_Context* context,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 29 22:05:31 UTC 2023 - 18.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py
from typing import List, Mapping, Optional, Sequence, Tuple from absl.testing import parameterized from mlir import ir from mlir.dialects import stablehlo as stablehlo_dialect import numpy as np import tensorflow # pylint: disable=unused-import from tensorflow.compiler.mlir.stablehlo import stablehlo from tensorflow.python.eager import def_function from tensorflow.python.framework import dtypes
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 18.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
TF_CAPI_EXPORT extern void TFE_ContextEndStep(TFE_Context* ctx); #ifdef __cplusplus } /* end extern "C" */ #endif #ifdef __cplusplus // A workaround to ease conversion to and from numpy objects and // TFE_TensorHandle's. // // TODO(ashankar): Figure out an alternative scheme that precludes the need for // these API-boundary breaking methods. namespace tensorflow { class Tensor;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 27 21:07:00 UTC 2023 - 22.8K bytes - Viewed (0) -
RELEASE.md
[`tf.experimental.numpy`](https://www.tensorflow.org/api_docs/python/tf/experimental/numpy), which is a NumPy-compatible API for writing TF programs. This module provides class `ndarray`, which mimics the `ndarray` class in NumPy, and wraps an immutable `tf.Tensor` under the hood. A subset of NumPy functions (e.g. `numpy.add`) are provided. Their inter-operation with TF facilities is
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
# ============================================================================== import os import re from typing import Mapping, Optional, Sequence from absl.testing import parameterized import numpy as np from google.protobuf import text_format from tensorflow.compiler.mlir.quantization.common.python import testing from tensorflow.compiler.mlir.quantization.stablehlo import quantization_config_pb2 as qc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
"""Base test class for quantize_model Tests.""" import os import re from typing import Collection, Iterable, Mapping, Sequence, Tuple, Optional, Union, List from absl.testing import parameterized import numpy as np import tensorflow # pylint: disable=unused-import from tensorflow.compiler.mlir.quantization.tensorflow.python import representative_dataset as repr_dataset from tensorflow.core.framework import function_pb2
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
"""Tests for quantize_model.""" # TODO(b/264234648): Refactor and cleanup this file. import itertools import os from typing import Mapping, Optional, Sequence, Tuple, Union from absl.testing import parameterized import numpy as np import tensorflow # pylint: disable=unused-import from tensorflow.compiler.mlir.quantization.common.python import testing
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0)