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src/cmd/go/testdata/vcstest/go/test2-svn-git.txt
handle dir -- test2main/index.html -- <!DOCTYPE html> <html> <meta name="go-import" content="vcs-test.golang.org/go/test2-svn-git/test2main git https://vcs-test.golang.org/git/test2main"> -- test2pkg/index.html -- <!DOCTYPE html> <html> <meta name="go-import" content="vcs-test.golang.org/go/test2-svn-git/test2pkg git https://vcs-test.golang.org/git/README-only"> -- test2pkg/pkg/index.html -- <!DOCTYPE html> <html>
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Oct 25 13:22:22 UTC 2022 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
platforms/core-runtime/internal-instrumentation-processor/src/main/java/org/gradle/internal/instrumentation/extensions/property/PropertyUpgradeAnnotatedMethodReader.java
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue May 28 13:09:40 UTC 2024 - 24.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset_test.py
@test_util.deprecated_graph_mode_only def test_replace_tensors_by_numpy_ndarrays_with_tensor_list(self): num_samples = 8 samples = [ np.random.uniform(low=-1.0, high=1.0, size=(3, 3)).astype('f4') for _ in range(num_samples) ] repr_ds: repr_dataset.RepresentativeDataset = [ { 'input_tensor': ops.convert_to_tensor(sample), }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 04 07:35:19 UTC 2024 - 11.6K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/sys/windows/security_windows.go
SecurityDelegation = 3 ) type LUID struct { LowPart uint32 HighPart int32 } type LUIDAndAttributes struct { Luid LUID Attributes uint32 } type SIDAndAttributes struct { Sid *SID Attributes uint32 } type Tokenuser struct { User SIDAndAttributes } type Tokenprimarygroup struct { PrimaryGroup *SID }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Jun 04 16:19:04 UTC 2024 - 52.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize_helper.h
if (auto qtype = mlir::dyn_cast_or_null<UniformQuantizedType>( quant::GetUniformQuantizedTypeForBias( quant_params, legacy_float_scale, adjusted_quant_dim))) { return quant::UniformQuantizedType::get( qtype.getFlags(), qtype.getStorageType(), qtype.getExpressedType(), qtype.getScale() * scale, qtype.getZeroPoint(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 28K bytes - Viewed (0) -
schema/schema.go
callbackTypeAfterFind callbackType = "AfterFind" ) // ErrUnsupportedDataType unsupported data type var ErrUnsupportedDataType = errors.New("unsupported data type") type Schema struct { Name string ModelType reflect.Type Table string PrioritizedPrimaryField *Field DBNames []string PrimaryFields []*Field
Registered: Wed Jun 12 16:27:09 UTC 2024 - Last Modified: Wed Jun 12 10:52:33 UTC 2024 - 13.7K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/text/cases/map.go
// dst so far won't need changing as we see more source bytes. type mapFunc func(*context) bool // A spanFunc takes a context set to the current rune and returns whether this // rune would be altered when written to the output. It may advance the context // to the next rune. It returns whether a checkpoint is possible. type spanFunc func(*context) bool
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Jan 24 13:01:26 UTC 2024 - 22.7K bytes - Viewed (0) -
cmd/setup-type.go
package cmd // SetupType - enum for setup type. type SetupType int const ( // UnknownSetupType - starts with unknown setup type. UnknownSetupType SetupType = iota // FSSetupType - FS setup type enum. FSSetupType // ErasureSDSetupType - Erasure single drive setup enum. ErasureSDSetupType // ErasureSetupType - Erasure setup type enum. ErasureSetupType
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Tue Oct 25 00:44:15 UTC 2022 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py
np.random.uniform(size=bias_shape), dtype=dtypes.float32 ) self._kernel = np.random.uniform(size=y_shape).astype('f4') self._min = (-0.8, -0.8, -0.9) self._max = (0.9, 0.9, 1.0) @def_function.function( input_signature=[ tensor_spec.TensorSpec( name='x', shape=x_signature, dtype=dtypes.float32 ) ]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 18.2K bytes - Viewed (0)