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tensorflow/compiler/mlir/tensorflow/tests/tpu_space_to_depth_pass.mlir
// CHECK: %[[INPUT00:.*]] = "tf.IteratorGetNext" // CHECK-DAG: %[[SPACETODEPTH00:.*]] = "tf.SpaceToDepth"([[INPUT00:.*]]#0) <{block_size = 2 : i64, data_format = "NHWC"}> : (tensor<2x224x224x3xf32>) -> tensor<2x112x112x12xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 37.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model_test.cc
EXPECT_THAT(input2->type, Eq(TensorType_INT8)); // Check if the quantization params of the minimum/maximum inputs match // after requantization EXPECT_THAT(input1->quantization->scale, Eq(input2->quantization->scale)); EXPECT_THAT(input1->quantization->zero_point, Eq(input2->quantization->zero_point)); // Check the input quantization params match the output ones.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 73.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/lstm_utils.cc
// TFL lstm only supports time-majored inputs, so if it's not time-majored, // we will transpose the inputs and outputs. auto time_major_attr = func_op->getAttrOfType<BoolAttr>("tf.time_major"); if (time_major_attr == nullptr) return failure(); bool time_majored = time_major_attr.getValue(); auto input_type = mlir::dyn_cast_or_null<RankedTensorType>(input.getType()); if (!input_type) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 36.2K bytes - Viewed (0) -
tensorflow/compiler/jit/shape_inference.cc
// from inferring output shape for Merge node (we need shapes for all its // inputs). // For loop invariant resource input's Merge node, we set output resource // shape as Enter node's resource shape. // TODO(b/129367850): clean this up. if (n->IsMerge() && n->output_type(0) == DT_RESOURCE) { // Check if this is a loop invariant input's Merge node. We do it by
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 00:41:19 UTC 2024 - 13K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/dict/mapping/CharMappingItem.java
private final String[] inputs; private final String output; private String[] newInputs; private String newOutput; public CharMappingItem(final long id, final String[] inputs, final String output) { this.id = id; this.inputs = inputs; this.output = output == null ? null : output.replace("\n", " "); Arrays.sort(inputs); if (id == 0) {
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Thu Feb 22 01:37:57 UTC 2024 - 3.4K bytes - Viewed (0) -
platforms/core-configuration/model-core/src/main/java/org/gradle/model/internal/core/AbstractModelAction.java
protected AbstractModelAction(ModelReference<T> subject, ModelRuleDescriptor descriptor, ModelReference<?>... inputs) { this(subject, descriptor, inputs == null ? EMPTY_MODEL_REF_LIST : Arrays.asList(inputs)); } protected AbstractModelAction(ModelReference<T> subject, ModelRuleDescriptor descriptor, List<? extends ModelReference<?>> inputs) {
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Sep 28 09:51:04 UTC 2023 - 2.1K bytes - Viewed (0) -
platforms/core-configuration/model-core/src/main/java/org/gradle/model/internal/core/DirectNodeInputUsingModelAction.java
return new AbstractModelAction<T>(reference, descriptor, input1, input2) { @Override public void execute(MutableModelNode modelNode, List<ModelView<?>> inputs) { action.execute(modelNode, Cast.<I>uncheckedCast(inputs.get(0).getInstance()), Cast.<J>uncheckedCast(inputs.get(1).getInstance()) ); } }; }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Sep 28 09:51:04 UTC 2023 - 3.5K bytes - Viewed (0) -
platforms/core-configuration/model-core/src/main/java/org/gradle/model/internal/inspect/UnmanagedModelCreationRuleExtractor.java
private final ModelType<T> type; private final List<ModelReference<?>> inputs; private UnmanagedElementCreationAction(ModelRuleDescriptor descriptor, ModelReference<?> subject, List<ModelReference<?>> inputs, ModelType<T> type) { this.subject = subject; this.inputs = inputs; this.descriptor = descriptor; this.type = type; } @Override
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Sep 28 09:51:04 UTC 2023 - 4.2K bytes - Viewed (0) -
api/maven-api-model/src/main/java/org/apache/maven/api/model/InputSource.java
Registered: Wed Jun 12 09:55:16 UTC 2024 - Last Modified: Tue Sep 05 16:06:44 UTC 2023 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_statistics_saver_op_test.cc
std::vector<NodeDefBuilder::NodeOut> inputs; inputs.emplace_back("min", 0, DT_FLOAT); inputs.emplace_back("max", 0, DT_FLOAT); inputs.emplace_back("histogram", 0, DT_INT64); inputs.emplace_back("min", 0, DT_FLOAT); inputs.emplace_back("max", 0, DT_FLOAT); inputs.emplace_back("histogram", 0, DT_INT64); const std::string dir = testing::TmpDir();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 13 01:31:23 UTC 2024 - 11.4K bytes - Viewed (0)