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tensorflow/compiler/mlir/tensorflow/transforms/optimize.cc
if (!reshape_type.hasStaticShape()) return failure(); ArrayRef<int64_t> reshape_shape = reshape_type.getShape(); auto input_type = mlir::cast<ShapedType>(op.getInput().getType()); auto output_type = mlir::cast<ShapedType>(op.getOutput().getType()); if (!input_type.hasRank() || !output_type.hasRank()) return failure(); // The pattern attempts to reduce the rank of the input to BroadcastTo.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo_conversions/util.h
// applying the permutation to a given shape through a transpose. PermutationAndShape GetPermutationAndTransposedShape( llvm::ArrayRef<int64_t> permutation_array, ShapedType input_type, ConversionPatternRewriter& rewriter); // Create a single const integer. Value BuildIntConstOp(ImplicitLocOpBuilder& builder, ConversionPatternRewriter& rewriter, int64_t const_value,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Nov 08 11:35:25 UTC 2023 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/ir/ConvertSimQuant.cc
auto qbarrier = rewriter.create<QuantizeCastOp>(op.getLoc(), quantizedType, op.getInputs()); rewriter.replaceOpWithNewOp<DequantizeCastOp>(op, converter.input_type, qbarrier.getResult()); return false; } }; class ConstFakeQuantRewrite : public FakeQuantRewrite<ConstFakeQuantRewrite, ConstFakeQuant> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 02:10:16 UTC 2024 - 6K bytes - Viewed (0) -
pkg/test/config/mock_config.pb.go
} var file_pkg_test_config_mock_config_proto_depIdxs = []int32{ 1, // 0: config.MockConfig.pairs:type_name -> config.ConfigPair 1, // [1:1] is the sub-list for method output_type 1, // [1:1] is the sub-list for method input_type 1, // [1:1] is the sub-list for extension type_name 1, // [1:1] is the sub-list for extension extendee 0, // [0:1] is the sub-list for field type_name }
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Wed Aug 03 17:06:22 UTC 2022 - 7.6K bytes - Viewed (0) -
platforms/software/dependency-management/src/main/java/org/gradle/api/internal/artifacts/ivyservice/ivyresolve/ComponentSelectionRulesProcessor.java
private List<Object> getInputValues(List<Class<?>> inputTypes, MetadataProvider metadataProvider) { if (inputTypes.size() == 0) { return Collections.emptyList(); } if (!metadataProvider.isUsable()) { return null; } List<Object> inputs = new ArrayList<>(inputTypes.size()); for (Class<?> inputType : inputTypes) { if (inputType == ComponentMetadata.class) {
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Oct 10 21:10:11 UTC 2023 - 4.4K bytes - Viewed (0) -
platforms/core-configuration/model-core/src/testFixtures/groovy/org/gradle/model/internal/fixture/ModelActionBuilder.java
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Sep 28 09:51:04 UTC 2023 - 6.4K bytes - Viewed (0) -
subprojects/core/src/integTest/groovy/org/gradle/api/tasks/InputPropertyAnnotationOverrideIntegrationTest.groovy
file("inputs/input").text = "initial" } def "can override @Internal with @#inputType.simpleName"() { buildFile << """ class InternalBaseTask extends BaseTask { @Internal def input } class CustomTask extends InternalBaseTask { @${inputType.name} def input } custom { def layout = project.layout
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Nov 04 22:26:51 UTC 2021 - 3.1K bytes - Viewed (0) -
platforms/software/dependency-management/src/main/java/org/gradle/internal/rules/DefaultRuleActionValidator.java
private void validateInputTypes(RuleAction<?> ruleAction) { for (Class<?> inputType : ruleAction.getInputTypes()) { if (!validInputType.contains(inputType)) { throw new RuleActionValidationException(invalidParameterMessage(inputType)); } } } private String invalidParameterMessage(Class<?> inputType) { if (validInputType.isEmpty()) {
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Oct 10 21:10:11 UTC 2023 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tpu_annotate_dynamic_shape_inputs.cc
for (int index : dynamic_shape_arg_index) { BlockArgument arg = func.getArgument(index); auto inputType = mlir::dyn_cast<RankedTensorType>(arg.getType()); // Only rank 1 tensor is supported for now. if (!inputType || inputType.getRank() != 1) continue; auto shape = llvm::to_vector<4>(inputType.getShape()); llvm::SmallVector<int64_t, 4> bounds(shape.begin(), shape.end()); // Mark the dim as dynamic dim.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.2K bytes - Viewed (0) -
subprojects/core/src/main/java/org/gradle/api/internal/initialization/transform/ExternalDependencyInstrumentingArtifactTransform.java
File input = getInput().get().getAsFile(); InstrumentationInputType inputType = getInputType(input); switch (inputType) { case DEPENDENCY_ANALYSIS_DATA: doOutputTransformedFile(input, outputs); return; case ORIGINAL_ARTIFACT:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Apr 18 15:08:33 UTC 2024 - 4.4K bytes - Viewed (0)