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Results 1 - 10 of 56 for lowerings (0.17 sec)
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.idea/dictionaries/sergej_jaskiewicz.xml
<component name="ProjectDictionaryState"> <dictionary name="sergej.jaskiewicz"> <words> <w>lowerings</w> <w>unmuted</w> </words> </dictionary>
Registered: Wed Jun 12 09:53:16 UTC 2024 - Last Modified: Tue Jun 04 18:16:15 UTC 2024 - 179 bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalization_op_config_test.cc
EXPECT_EQ(non_categorized_count, 428); } // Just a counter test to see which ops have duplicate lowerings. This isn't a // correctness test versus a test to easily ensure the op registry is kept // in sync. TEST_F(LegalizationOpConfigTest, CountTypesWhichHaveBothMlirAndTf2xlaFallback) { int double_lowering_count = 0; DialectRegistry dialect_registry; dialect_registry.insert<mlir::TF::TensorFlowDialect>();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 30 03:31:01 UTC 2024 - 8.4K bytes - Viewed (0) -
analysis/analysis-api-fe10/src/org/jetbrains/kotlin/analysis/api/descriptors/utils/InlineDelegatedPropertyAccessorsAnalyzer.kt
import org.jetbrains.kotlin.resolve.BindingContext @OptIn(KaAnalysisNonPublicApi::class) fun MutableSet<KtFile>.collectReachableInlineDelegatedPropertyAccessors() { if (isEmpty()) return // One of the compiler lowerings, namely `PropertyReferenceLowering`, // optimizes usages of property references in some cases, // and if a containing delegated property accessor is inline, // it might need this accessor's bytecode. //
Registered: Wed Jun 12 09:53:16 UTC 2024 - Last Modified: Wed May 22 06:28:34 UTC 2024 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/passes.h
std::unique_ptr<OperationPass<ModuleOp>> createLegalizeTFPass( bool legalize_chlo = true, std::optional<StringRef> tf2xla_fallback_device_type = std::nullopt, bool prefer_tf2xla = false); /// Adds the TF to TF lowerings and TF to XLA rewrite patterns to the pattern /// list. void PopulateLegalizeTfPatterns(MLIRContext* context, RewritePatternSet* patterns);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/xla_legalize_tf.cc
// canonicalized to plain HLO constant if statically shaped. Add the // canonicalization pattern to pattern list to enable multi-hop lowering. chlo::ConstantLikeOp::getCanonicalizationPatterns(patterns, context); return ApplyPatterns(op, patterns, legalize_chlo); } // Performs the lowering to XLA dialect. void LegalizeTF::runOnOperation() { auto op = getOperation(); auto op_name = op->getName().getStringRef().str();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
This op is rewritten to generic ops that perform the scale and shift and can operate on non-quantized types. Currently, TF_DequantizeOp is the only op with a lowering that falls in this category. When more lowerings are added (e.g. QuantizeV2Op), they should be added to this pass. }]; let constructor = "TF::CreateLowerQuantizedPass()"; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/lower_static_tensor_list.cc
bool allow_tensorlist_pass_through_; // This flag will control the behavior of setting the batch size one when the // given batch size is None in order to force to proceed the tensor list op // lowerings. bool default_to_single_batch_; }; // Converts tf.Const containing variant of type TensorList to a tensor of // primitive element types. Each of the individual tensor in the list is
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 70.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
// RUN: odml-to-stablehlo-opt -composite-lowering -verify-diagnostics %s | FileCheck %s func.func @hardswish(%arg0: tensor<2xf32>) -> (tensor<*xf32>) { %0 = mhlo.composite "aten.hardswish.default" %arg0 {decomposition = @XlaCallModule_aten.hardswish.default.impl_0} : (tensor<2xf32>) -> tensor<2xf32> %1 = "tf.Identity"(%0) {device = ""} : (tensor<2xf32>) -> tensor<*xf32> %2 = "tf.Identity"(%1) {device = ""} : (tensor<*xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
// dynamic shape aware and uses broadcasting modes that CHLO does not support. // Gets the resulting type from a broadcast between two types for statically // shaped types. This is to be used for legacy lowerings that both use non // left-padded broadcasting and static shapes. Its use should not be permitted // in new code. // May return nullptr on invalid static broadcast dimensions. // ABSL_DEPRECATED()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/tf_to_mlrt.mlir
// CHECK: mlrt.await_handle [[handle_1]] mlrt.await_handle %handle_0 mlrt.await_handle %handle_1 // CHECK: return [[result]] return %result : tensor<i32> } // ----- // Test lowering tf.If func.func @then(%x: tensor<i32>, %y: tensor<i32>) -> tensor<i32> { return %x: tensor<i32> } func.func @else(%x: tensor<i32>, %y: tensor<i32>) -> tensor<i32> { return %y: tensor<i32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 20:44:15 UTC 2024 - 24.7K bytes - Viewed (0)