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tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_same_scale.mlir
// CHECK: %[[DQ:.*]] = "quantfork.dcast"(%[[RESHAPE]]) : (tensor<3x1x!quant.uniform<i8:f32, 0.13170163023705575:-1>>) -> tensor<3x1xf32> // CHECK: return %[[DQ]] %0 = "quantfork.qcast"(%arg0) {volatile} : (tensor<1x2xf32>) -> tensor<1x2x!quant.uniform<i8:f32, 5.000000e-03>> %1 = "quantfork.dcast"(%0) : (tensor<1x2x!quant.uniform<i8:f32, 5.000000e-03>>) -> tensor<1x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 35.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/passes.td
]; } def PrepareQuantizePass : Pass<"stablehlo-prepare-quantize", "mlir::ModuleOp"> { let summary = "Prepare StableHLO dialect for static range quantization by converting quantfork.stats into quantfork.qcast and dcast ops."; let options = [ Option<"enable_per_channel_quantized_weight_", "enable-per-channel-quantized-weight", "bool", /*default=*/"true", "Whether to enable per-channel quantized weights.">,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 10.3K bytes - Viewed (0) -
platforms/core-configuration/model-core/src/main/java/org/gradle/internal/extensibility/ConventionAwareHelper.java
MapProperty<Object, Object> asMapProperty = Cast.uncheckedNonnullCast(target); DefaultProvider<Map<Object, Object>> convention = new DefaultProvider<>(() -> Cast.uncheckedNonnullCast(mapping.getValue(_convention, _source))); asMapProperty.convention(convention); } else if (target instanceof HasMultipleValues) { HasMultipleValues<Object> asCollectionProperty = Cast.uncheckedNonnullCast(target);
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Fri May 17 09:53:33 UTC 2024 - 9.8K bytes - Viewed (0) -
platforms/jvm/language-java/src/integTest/groovy/org/gradle/api/tasks/compile/JavaCompileProblemsIntegrationTest.groovy
details == 'redundant cast to java.lang.String' solutions.empty verifyAll(getSingleLocation(ReceivedProblem.ReceivedFileLocation)) { it.path == fooFileLocation.absolutePath } additionalData.asMap ["formatted"] == """\ $fooFileLocation:5: warning: [cast] redundant cast to $expectedType String s = (String)"Hello World";
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Jun 06 16:15:29 UTC 2024 - 24K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_tf.cc
if (!mlir::cast<ShapedType>(lhs.getType()).hasStaticShape() || !mlir::cast<ShapedType>(rhs.getType()).hasStaticShape() || !mlir::cast<ShapedType>(cond.getType()).hasStaticShape()) { return rewriteOpWithDynamicInput(op, rewriter); } auto lhs_shape = mlir::cast<ShapedType>(lhs.getType()).getShape(); auto rhs_shape = mlir::cast<ShapedType>(rhs.getType()).getShape();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 20:06:54 UTC 2024 - 45.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_xla_attribute_utils.cc
for (int i : llvm::seq<int>(1, num_dims - 1)) { Value input_size_i = GetDimValue(builder, loc, input_shape_value, i); const int stride_i = mlir::cast<IntegerAttr>(strides[i]).getInt(); const int dilation_i = mlir::cast<IntegerAttr>(dilations[i]).getInt(); const int filter_i = filter_shape.getDimSize(i - 1); Value pad_i_low, pad_i_high; GetSamePaddingValues(builder, loc, input_size_i, filter_i, dilation_i,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 13.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_stablehlo_to_vhlo.cc
// StableHLO+TFL --> VHLO+TFL Ops //===----------------------------------------------------------------------===// // Wrap op result uses in an unrealized cast to create a cast to buffer // any type changes to result, and apply type converter to result: // result = op(V0) // V1 = op2(result) // ==> // result = op(V0) // V1 = unrealized_cast(result)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 15 19:48:51 UTC 2024 - 12.3K bytes - Viewed (0) -
platforms/software/dependency-management/src/main/java/org/gradle/internal/component/resolution/failure/ResolutionCandidateAssessor.java
compatible.add(new AssessedAttribute<>(attribute, Cast.uncheckedCast(consumerValue.get()), Cast.uncheckedCast(producerValue.get()))); } else { incompatible.add(new AssessedAttribute<>(attribute, Cast.uncheckedCast(consumerValue.get()), Cast.uncheckedCast(producerValue.get()))); } } else if (consumerValue.isPresent()) {
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed May 22 19:04:04 UTC 2024 - 11.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_patterns.td
def LegalizeTopKV2 : Pat<(TF_TopKV2Op $input, $k, $ignored_sorted), (TFL_TopKV2Op $input, $k)>; def ReductionDimensionIsLastDim : Constraint<CPred<"($0.cast<IntegerAttr>().getInt() == " "$1.getType().cast<ShapedType>().getRank() - 1 || $0.cast<IntegerAttr>().getInt() == -1)">>; // Legalizes TF_ApproxTopKOp to TFL_TopKV2Op with the following constraints: // 1. It computes max k
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 28.5K bytes - Viewed (0) -
platforms/core-configuration/file-collections/src/main/java/org/gradle/api/internal/file/DefaultFilePropertyFactory.java
@Override public THIS value(@Nullable T value) { super.value(value); return Cast.uncheckedNonnullCast(this); } @Override public THIS value(Provider<? extends T> provider) { super.value(provider); return Cast.uncheckedNonnullCast(this); } @Override public void set(@Nullable File file) {
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Fri May 17 09:53:33 UTC 2024 - 15.3K bytes - Viewed (0)