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Results 41 - 50 of 75 for zipsum (0.11 sec)
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android/guava/src/com/google/common/hash/Hashing.java
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Tue Apr 09 00:37:15 UTC 2024 - 29.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
// CHECK: %[[ARG0_CAST:.*]] = "tf.Cast"(%[[ARG0]] // CHECK: %[[ARG0_REDUCE:.*]] = "tf.Einsum"(%[[ARG0_CAST]] // CHECK-SAME: __tf_quant_created_einsum // CHECK: %[[ARG0_ZP:.*]] = "tf.Mul"(%[[ARG0_REDUCE]] // CHECK: %[[ARG1_CAST:.*]] = "tf.Cast"(%[[ARG1]] // CHECK: %[[ARG1_REDUCE:.*]] = "tf.Einsum"({{.*}}, %[[ARG1_CAST]] // CHECK-SAME: __tf_quant_created_einsum // CHECK: %[[ARG1_ZP:.*]] = "tf.Mul"(%[[ARG1_REDUCE]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0) -
src/cmd/go/internal/modcmd/verify.go
if len(args) != 0 { // NOTE(rsc): Could take a module pattern. base.Fatalf("go: verify takes no arguments") } modload.ForceUseModules = true modload.RootMode = modload.NeedRoot // Only verify up to GOMAXPROCS zips at once. type token struct{} sem := make(chan token, runtime.GOMAXPROCS(0)) mg, err := modload.LoadModGraph(ctx, "") if err != nil { base.Fatal(err) } mods := mg.BuildList()
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Feb 21 16:56:35 UTC 2024 - 3.6K bytes - Viewed (0) -
platforms/core-configuration/kotlin-dsl/src/main/kotlin/org/gradle/kotlin/dsl/execution/Combinators.kt
zip(this, suffix) { _, s -> s } @JvmName("timesUnitUnit") internal inline operator fun Parser<Unit>.times(crossinline suffix: Parser<Unit>): Parser<Unit> = zipM(this, suffix) { _, _ -> unitSuccess } @JvmName("timesTUnit") internal inline operator fun <T> Parser<T>.times(crossinline suffix: Parser<Unit>): Parser<T> = zip(this, suffix) { p, _ -> p }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Aug 02 08:06:49 UTC 2023 - 12.9K bytes - Viewed (0) -
build-logic/integration-testing/src/main/kotlin/gradlebuild/integrationtests/ide/AndroidStudioProvisioningPlugin.kt
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue May 14 15:43:39 UTC 2024 - 5.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/quantization_options.proto
// NEXT ID: 7 message UnitWiseQuantizationSpec { // Quantization unit granularity. // NEXT ID: 4 message QuantizationUnit { // Type of the op, ex: Conv2D, MatMul, Einsum... The node_name field can // be omitted if it is intended to match all nodes with this type. string op_type = 1; // Name of the node. This field accepts re2 regex format. If the node name
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 19 06:31:19 UTC 2024 - 9.2K bytes - Viewed (0) -
guava/src/com/google/common/hash/Hashing.java
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Tue Apr 09 00:37:15 UTC 2024 - 32.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/convert_tf_xla_op_to_tf_op.cc
} void getDependentDialects(DialectRegistry& registry) const override { registry.insert<TF::TensorFlowDialect, arith::ArithDialect>(); } void runOnOperation() override; }; // Generate an einsum equation from the given DotDimensionNumber. std::string CreateEinsumEquation( const xla::DotDimensionNumbers& dot_dimension_numbers, const int lhs_rank, const int rhs_rank) { // Prepare necessary indices.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 13.2K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/core-plugins/base_plugin.adoc
`archiveBaseName`:: Defaults to `$archivesBaseName`. [[sec:base_plugin_conventions]] == Conventions (deprecated) The Base Plugin also adds conventions related to the creation of archives, such as ZIPs, TARs and JARs. These are *deprecated* and superseded by the extension described above.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Mar 23 22:37:03 UTC 2024 - 5.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
tensor_spec.TensorSpec( shape=input_shape, dtype=dtypes.float32, name='input_tensor' ) ), ) return model # Prepares sample einsum input data shapes. # This function returns: # 1. Shape for input 1 # 2. Shape for input 2 # 3. Shape for bias # 4. Signature for input 1 (Could contain None dimension)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0)