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licenses/helm.sh/helm/v3/pkg/chartutil/testdata/dependent-chart-no-requirements-yaml/LICENSE
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Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Thu Apr 23 04:14:15 UTC 2020 - 21 bytes - Viewed (0) -
licenses/helm.sh/helm/v3/pkg/chartutil/testdata/frobnitz/LICENSE
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Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Thu Apr 23 04:14:15 UTC 2020 - 21 bytes - Viewed (0) -
tensorflow/compiler/aot/tests/test_error_message.lit.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 10 19:32:15 UTC 2020 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
conv operation a `tf.Variable`. Returns: in_placeholder: Input tensor placeholder. output_tensor: The resulting tensor of the convolution operation. """ in_placeholder = array_ops.placeholder(dtypes.float32, shape=input_shape) filters = random_ops.random_uniform( shape=filter_shape, minval=-1.0, maxval=1.0 )
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/jit/extract_outside_compilation_pass.cc
} return std::nullopt; } // Add a key placeholder node to the graph. The key placeholder node will be // used as input for XlaRecvAtHost/XlaSendFromHost nodes. absl::StatusOr<Node*> AddHostComputeKeyPlaceholder( const string& xla_cluster_name, Graph* g) { NodeDef key_def; NodeDefBuilder builder(absl::StrCat(xla_cluster_name, "_key_placeholder"), "Placeholder"); builder.Attr("dtype", DT_STRING);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 104.7K bytes - Viewed (0) -
tensorflow/api_template_v1.__init__.py
_CONTRIB_WARNING) # The templated code that replaces the placeholder above sometimes # sets the __all__ variable. If it does, we have to be sure to add # "contrib". if "__all__" in vars(): vars()["__all__"].append("contrib") from tensorflow.python.platform import flags # The "app" module will be imported as part of the placeholder section above. _current_module.app.flags = flags # pylint: disable=undefined-variable
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 02:14:00 UTC 2024 - 7.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/arg-data-type.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 10 19:32:15 UTC 2020 - 1.2K bytes - Viewed (0) -
tensorflow/cc/gradients/functional_grad_test.cc
*(f_lib_proto.add_function()) = test::function::XTimesTwo(); // Construct a graph: // A = Placeholder[dtype=int32] // B = XTimesTwo[_tpu_replicate="cluster"](A) // C = XTimesTwo[_xla_compile_id="cluster"](A) TF_ASSERT_OK(scope_.graph()->AddFunctionLibrary(f_lib_proto)); Output x = Placeholder(scope_, DT_FLOAT); NameAttrList f; f.set_name("XTimesTwo"); (*f.mutable_attr())["T"].set_type(DT_FLOAT);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 26 14:42:24 UTC 2021 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/empty-input-shapes.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 01 22:43:47 UTC 2021 - 491 bytes - Viewed (0) -
tensorflow/compiler/jit/tests/device_compiler_test_helper.cc
*graph.mutable_library()->add_function() = make_test_fn; *graph.add_node() = MakeNode("a", "Placeholder", {}, {{"dtype", DT_FLOAT}, {"shape", input_shape}}); *graph.add_node() = MakeNode("b", "Placeholder", {}, {{"dtype", DT_FLOAT}, {"shape", input_shape}}); *graph.add_node() = MakeNode("c", "Placeholder", {}, {{"dtype", DT_FLOAT}, {"shape", input_shape}});
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 08:24:16 UTC 2024 - 6.2K bytes - Viewed (0)