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Results 41 - 50 of 475 for qint (0.03 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/calibrator/pywrap_calibration.pyi
from tensorflow.compiler.mlir.quantization.tensorflow.calibrator import calibration_statistics_pb2 # LINT.IfChange(clear_calibrator) def clear_calibrator() -> None: ... # LINT.ThenChange() # LINT.IfChange(clear_data_from_calibrator) def clear_data_from_calibrator(id: bytes) -> None: ... # LINT.ThenChange() # LINT.IfChange(get_statistics_from_calibrator) def get_statistics_from_calibrator( id: bytes,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 09 02:25:59 UTC 2023 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_uniform_quantized.mlir
{"quantized_ops": ["${main_op}", "Relu"], "act_func": "internal_requantize_and_relu_fn", "output_type": "!tf_type.qint8"}, {"quantized_ops": ["${main_op}", "Relu6"], "act_func": "internal_requantize_and_relu6_fn", "output_type": "!tf_type.qint8"}, ] func.func @GenerateQuantizedFunctionName(${quantized_ops})(%input : tensor<*x!tf_type.qint8>, %filter : tensor<*x!tf_type.qint8>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 29 01:13:58 UTC 2023 - 19.3K bytes - Viewed (0) -
maven-compat/src/test/resources/org/apache/maven/artifact/manager/DefaultWagonManagerTest.xml
<role-hint>b2</role-hint> <implementation>org.apache.maven.artifact.manager.WagonB</implementation> </component> <component> <role>org.apache.maven.wagon.Wagon</role> <role-hint>c</role-hint> <implementation>org.apache.maven.artifact.manager.WagonC</implementation> </component> <component> <role>org.apache.maven.wagon.Wagon</role> <role-hint>string</role-hint>
Registered: Wed Jun 12 09:55:16 UTC 2024 - Last Modified: Sun Apr 26 16:34:19 UTC 2009 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/pywrap_quantization.pyi
py_function_library: py_function_lib.PyFunctionLibrary, ) -> Any: ... # Status # LINT.ThenChange() # LINT.IfChange(populate_default_configs) def populate_default_configs( user_provided_quantization_config_serialized: bytes, ) -> bytes: ... # QuantizationConfig # LINT.ThenChange() # LINT.IfChange(expand_preset_configs) def expand_preset_configs( quantization_config_serialized: bytes,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 20 13:51:40 UTC 2024 - 1.9K bytes - Viewed (0) -
pkg/kubelet/cm/topologymanager/fake_topology_manager.go
) type fakeManager struct { hint *TopologyHint policy Policy } // NewFakeManager returns an instance of FakeManager func NewFakeManager() Manager { klog.InfoS("NewFakeManager") return &fakeManager{} } // NewFakeManagerWithHint returns an instance of fake topology manager with specified topology hints func NewFakeManagerWithHint(hint *TopologyHint) Manager { klog.InfoS("NewFakeManagerWithHint")
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Aug 02 18:02:07 UTC 2022 - 2.3K bytes - Viewed (0) -
pkg/kubelet/cm/topologymanager/policy.go
// Get the NUMANodeAffinity from each hint in the permutation and see if any // of them encode unpreferred allocations. preferred := true var numaAffinities []bitmask.BitMask for _, hint := range permutation { // Only consider hints that have an actual NUMANodeAffinity set. if hint.NUMANodeAffinity != nil { numaAffinities = append(numaAffinities, hint.NUMANodeAffinity)
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Nov 03 09:45:25 UTC 2022 - 12.7K bytes - Viewed (0) -
pkg/kubelet/cm/topologymanager/policy_single_numa_node.go
filtered = append(filtered, hint) } if hint.NUMANodeAffinity != nil && hint.NUMANodeAffinity.Count() == 1 && hint.Preferred { filtered = append(filtered, hint) } } filteredResourcesHints = append(filteredResourcesHints, filtered) } return filteredResourcesHints } func (p *singleNumaNodePolicy) Merge(providersHints []map[string][]TopologyHint) (TopologyHint, bool) {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Nov 09 16:52:08 UTC 2022 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_uniform_quantized_drq.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Dec 01 12:06:54 UTC 2022 - 3.9K bytes - Viewed (0) -
internal/config/errors-utils.go
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Mon Mar 06 16:56:10 UTC 2023 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/pywrap_function_lib.pyi
class PyFunctionLibrary: # LINT.IfChange(save_exported_model) def save_exported_model( self, dst_saved_model_path: str, exported_model_serialized: bytes, src_saved_model_path: str, tags: set[str], serialized_signature_def_map: dict[str, bytes], ) -> Optional[bool]: ... # LINT.ThenChange() # LINT.IfChange(run_calibration) def run_calibration( self,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 09 06:33:29 UTC 2024 - 1.6K bytes - Viewed (0)