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Results 1 - 10 of 98 for npattern (0.23 sec)
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src/runtime/mbitmap.go
pattern <<= 8 pattern |= uintptr(*src) src = subtract1(src) npattern += 8 } // We started with the whole bit output buffer, // and then we loaded bits from whole bytes. // Either way, we might now have too many instead of too few. // Discard the extra. if npattern > n { pattern >>= npattern - n npattern = n }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 00:18:55 UTC 2024 - 60K bytes - Viewed (0) -
src/cmd/go/internal/modload/load.go
// loads the packages in the import graph rooted at that set. func LoadPackages(ctx context.Context, opts PackageOpts, patterns ...string) (matches []*search.Match, loadedPackages []string) { if opts.Tags == nil { opts.Tags = imports.Tags() } patterns = search.CleanPatterns(patterns) matches = make([]*search.Match, 0, len(patterns)) allPatternIsRoot := false
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 30 14:56:56 UTC 2024 - 84K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
return; } // This pattern will try to identify and optimize for dilated convolution. // e.g. Patterns like "SpaceToBatchND -> Conv2D -> BatchToSpaceND" will be // replaced with a single Conv op with dilation parameter. patterns.add<ConvertTFDilatedConvOp<TF::Conv2DOp>, FusedBatchNormV3Pat, ConvertTFDilatedConvOp<TF::DepthwiseConv2dNativeOp>>(ctx); patterns.add<RemoveIdentity>(ctx);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/compose_uniform_quantized_type_pass.cc
<< "Failed to match input uniform quantize call pattern.\n"); return failure(); } return success(); } }; void ComposeUniformQuantizedTypePass::runOnOperation() { ModuleOp module_op = getOperation(); MLIRContext& ctx = getContext(); RewritePatternSet patterns(&ctx); patterns.add<ComposeUniformQuantizedConvolutionOp,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
(HasRankAtMost<4> $input), (HasRankAtMost<4> $lhs), (HasRankAtMost<4> $rhs), (IsDefinedByFullyConnectedOp $input)]>; // Pattern to remove redundant reshape op used as LHS to binary ops // Binary(Reshape(input, shape), rhs) -> Binary(input, rhs) // This pattern is valid only if- // 1. The shape is only adding broadcasting that can otherwise be implicitly // handled by the binary op. Ex- shape == [1, 1, 1, 128]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/authoring-builds/gradle-properties/working_with_files.adoc
* If at least one inclusion is specified, only files and directories matching the patterns are included * Any exclusion pattern overrides any inclusions, so if a file or directory matches at least one exclusion pattern, it won't be included, regardless of the inclusion patterns Bear these rules in mind when creating combined inclusion and exclusion specifications so that you end up with the exact behavior you want.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Apr 24 04:19:09 UTC 2024 - 70.5K bytes - Viewed (0) -
src/cmd/go/internal/modget/get.go
if search.IsMetaPackage(q.pattern) { panic(fmt.Sprintf("internal error: queryNone called with pattern %q", q.pattern)) } if !q.isWildcard() { q.pathOnce(q.pattern, func() pathSet { hasModRoot := modload.HasModRoot() if hasModRoot && modload.MainModules.Contains(q.pattern) { v := module.Version{Path: q.pattern}
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Jun 07 18:26:32 UTC 2024 - 66.5K bytes - Viewed (0) -
fastapi/param_functions.py
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:40:57 UTC 2024 - 62.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize_composite_functions.cc
if (!enable_legacy_weight_only_) { RewritePatternSet patterns(ctx); patterns.add<QuantizeFunctionPattern>(ctx, quantization_method_, target_opset_, enable_per_channel_quantization_); if (failed(applyPatternsAndFoldGreedily(module, std::move(patterns)))) { signalPassFailure(); } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 54.5K bytes - Viewed (0) -
subprojects/core/src/integTest/groovy/org/gradle/api/tasks/CopyTaskIntegrationSpec.groovy
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Apr 03 15:21:23 UTC 2024 - 67.9K bytes - Viewed (0)