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Results 1 - 9 of 9 for placeholders (0.34 sec)
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tensorflow/compiler/mlir/tensorflow/translate/import_model.cc
Status EmitErrorWithLocationStr(const Node& node, const Status& error_status); // Inserts a placeholder node in the graph to replace a feed output tensor, // and returns the new placeholder node and a boolean indicating if the // original input node was removed from the graph. Uses of the feed output // tensor are replaced with this placeholder node. If the feed output tensor
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 183.2K bytes - Viewed (0) -
src/database/sql/sql.go
// parameter in the SQL statement. // // For a more concise way to create NamedArg values, see // the [Named] function. type NamedArg struct { _NamedFieldsRequired struct{} // Name is the name of the parameter placeholder. // // If empty, the ordinal position in the argument list will be // used. // // Name must omit any symbol prefix. Name string // Value is the value of the parameter.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:16:53 UTC 2024 - 103.6K bytes - Viewed (0) -
pkg/kubelet/kubelet_node_status_test.go
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed May 08 19:23:19 UTC 2024 - 115.8K bytes - Viewed (0) -
android/guava/src/com/google/common/cache/LocalCache.java
* consist strictly of loading values, though during refresh a value may be both active and * loading. */ boolean isActive(); } /** Placeholder. Indicates that the value hasn't been set yet. */ static final ValueReference<Object, Object> UNSET = new ValueReference<Object, Object>() { @CheckForNull @Override public Object get() {
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Sat May 18 03:24:34 UTC 2024 - 143.6K bytes - Viewed (0) -
guava/src/com/google/common/cache/LocalCache.java
* consist strictly of loading values, though during refresh a value may be both active and * loading. */ boolean isActive(); } /** Placeholder. Indicates that the value hasn't been set yet. */ static final ValueReference<Object, Object> UNSET = new ValueReference<Object, Object>() { @CheckForNull @Override public Object get() {
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Sat May 18 03:24:34 UTC 2024 - 149.2K bytes - Viewed (0) -
pkg/volume/util/operationexecutor/operation_generator.go
return volumetypes.NewOperationContext(eventErr, detailedErr, migrated) } if resizeDone { return volumetypes.NewOperationContext(nil, nil, migrated) } // This is a placeholder error - we should NEVER reach here. err = fmt.Errorf("volume resizing failed for unknown reason") eventErr, detailedErr = volumeToMount.GenerateError("NodeExpandVolume.NodeExpandVolume failed to resize volume", err)
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue May 14 06:17:25 UTC 2024 - 101.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
"be string attributes"); return std::nullopt; } } } // Runtime version string is generated after we update the op // versions. Here we put a 16-byte dummy string as a placeholder. We choose // 16-byte because it's the alignment of buffers in flatbuffer, so it won't // cause any waste of space if the actual string is shorter than 16 bytes. constexpr std::size_t kByteStringSize = 16;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
src/database/sql/sql_test.go
} func TestQueryNamedArg(t *testing.T) { db := newTestDB(t, "people") defer closeDB(t, db) prepares0 := numPrepares(t, db) rows, err := db.Query( // Ensure the name and age parameters only match on placeholder name, not position. "SELECT|people|age,name|name=?name,age=?age", Named("age", 2), Named("name", "Bob"), ) if err != nil { t.Fatalf("Query: %v", err) } type row struct { age int
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 18:42:28 UTC 2024 - 111.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
) self.assertDictEqual(original_signature_map, converted_signature_map) def test_duplicated_tensor_name(self): with session.Session(graph=ops.Graph()) as sess: input_tensor = array_ops.placeholder( dtypes.float32, shape=[], name='input' ) q_input = array_ops.fake_quant_with_min_max_args( input_tensor, min=-0.1, max=0.2, num_bits=8, narrow_range=False )
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0)