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Results 61 - 70 of 116 for Fgetxattr (0.17 sec)
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tensorflow/compiler/mlir/tensorflow/utils/device_util.cc
} mlir::LogicalResult GetDevicesFromOp(mlir::Operation* op, mlir::TF::RuntimeDevices* devices) { auto devices_attr = op->getAttr(kDevicesAttr); if (!devices_attr) return mlir::success(); if (auto array_attr = mlir::dyn_cast<mlir::ArrayAttr>(devices_attr)) { return GetDevicesFromOp(op, array_attr, devices);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/fused_kernel_matcher.cc
return false; } // FusedMatMul kernel does not support grad_a/grad_b attrs if ((matmul->hasAttr("grad_a") && mlir::cast<BoolAttr>(matmul->getAttr("grad_a")).getValue()) || (matmul->hasAttr("grad_b") && mlir::cast<BoolAttr>(matmul->getAttr("grad_b")).getValue())) { (void)rewriter.notifyMatchFailure(matmul, [&](Diagnostic &diag) { diag << "FusedMatMul kernel does not support grad_a/grad_b attrs";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_rewrite_pass.cc
absl::StrCat("module_", module_name)); auto parent_module = entry_func->getParentOfType<ModuleOp>(); auto versions_attr = parent_module->getAttr(kVersionsAttr); if (!versions_attr) return parent_module.emitError(CreateMissingAttributeMsg(kVersionsAttr)); module_for_func.get().getOperation()->setAttr(kVersionsAttr, versions_attr);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 21:25:12 UTC 2024 - 29.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td
func::FuncOp ResolveFunc(::mlir::SymbolTableCollection* table) { if (table) return table->lookupNearestSymbolFrom<func::FuncOp>(*this, getFAttr()); return SymbolTable::lookupNearestSymbolFrom<func::FuncOp>(*this, getFAttr()); } // TODO(b/204997177): Deprecate and remove. func::FuncOp func() { return ResolveFunc(nullptr); } }]; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 04:08:35 UTC 2024 - 90.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/group_by_dialect.cc
void GroupByDialectPass::processFunction( mlir::func::FuncOp func, int& counter, llvm::SmallDenseSet<StringRef>& dialects, Operation* module) { // don't re-process functions we generated if (func->getAttr("dialect")) return; processRegion(func.getBody(), counter, dialects, module); } void GroupByDialectPass::processRegion(mlir::Region& region, int& counter,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 17 07:31:01 UTC 2023 - 8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/nchw_convolution_to_nhwc.cc
rewriter.getDenseI64ArrayAttr(kOihwToHwioPermutation)); // [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f] const auto new_dimension_nums = rewriter.getAttr<ConvDimensionNumbersAttr>( /*inputBatchDimension=*/0, /*inputFeatureDimension=*/3, /*inputSpatialDimensions=*/SmallVector<int64_t>{1, 2}, /*kernelInputFeatureDimension=*/2, /*kernelOutputFeatureDimension=*/3,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.2K bytes - Viewed (0) -
tensorflow/c/ops.cc
cc_type v; \ auto* cc_ctx = reinterpret_cast<InferenceContext*>(ctx); \ Status s = cc_ctx->GetAttr(attr_name, &v); \ Set_TF_Status_from_Status(status, s); \ if (s.ok()) { \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 28 22:41:35 UTC 2022 - 10.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/cluster_ops_by_policy.cc
auto range = llvm::make_filter_range(op->getUsers(), [&](Operation *user) { bool same_block = user->getBlock() == op->getBlock(); bool same_device = op->getAttr(kDeviceAttr) == user->getAttr(kDeviceAttr); return same_block && same_device && state.IsMember(user); }); return {range.begin(), range.end()}; } // Users of block argument must be in the same block.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 27.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.h
} // Returns the function attribute for the given call op which is lifted for // quantization. inline FlatSymbolRefAttr GetFuncAttr(TF::PartitionedCallOp call_op) { return mlir::dyn_cast<FlatSymbolRefAttr>(call_op.getFAttr()); } inline FlatSymbolRefAttr GetFuncAttr(TF::XlaCallModuleOp call_op) { return call_op->getAttrOfType<FlatSymbolRefAttr>( TF::kStablehloEntryFunctionAttrName); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/preprocess_op.cc
} LogicalResult matchAndRewrite(TF::PartitionedCallOp op, PatternRewriter& rewriter) const override { const auto f_attr = mlir::dyn_cast<FlatSymbolRefAttr>(op.getFAttr()); // Non-quantizable op if (!op->hasAttr(kQuantTraitAttrName)) return failure(); StringRef function_name = f_attr.getValue(); // TODO(b/228928859): Improve the getter function to match attributes rather
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.4K bytes - Viewed (0)