- Sort Score
- Result 10 results
- Languages All
Results 21 - 30 of 263 for created (0.11 sec)
-
tensorflow/compiler/mlir/lite/quantization/import_quant_stats_pass.cc
} } }); } // Creates an instance of the default quant parameters pass. std::unique_ptr<OperationPass<func::FuncOp>> CreateImportQuantStatsPass( OperationToName op_to_name, const std::string &stats_str) { auto pass = std::make_unique<ImportQuantStatsPass>(op_to_name); if (pass->ParseQuantStats(stats_str)) return nullptr; return pass; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 08 10:41:08 UTC 2024 - 9.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/instrumentations/save_report_test.cc
report_file_path)); const LogicalResult run_result = pm.run(*module_op); ASSERT_TRUE(succeeded(run_result)); // The report file is not created because `QuantizeCompositeFunctionsPass` was // not run. EXPECT_THAT(ReadFileToString(report_file_path), StatusIs(absl::StatusCode::kNotFound)); } TEST_F(SaveQuantizationReportInstrumentationTest,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 02:59:01 UTC 2024 - 9.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/quantize_passes.cc
mlir::quant::stablehlo::FillPresetQuantizationOptions( quantization_options); } // TODO: b/276999414 - Add activation and bias quantization component as // respective quantization passes are created. QuantizationComponentSpec weight_component; for (const auto& component : quantization_options_.quantization_method() .custom_quantization_method()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 08:32:43 UTC 2024 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/functional_control_flow_to_regions.cc
} void runOnOperation() override; }; // Creates a call to function `func` in region `caller_region`. Use `args` as // the call arguments, and terminate the region with a yield. The arguments are // cast to the required type before the call. `use_region_args` control whether // the input arguments are used as is (for IfOp) or block arguments of the same // type as the input arguments are created and then used as call arguments (for // While).
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_base_device.cc
options.shape_determination_fns) { if (options.shape_determination_fns.empty()) { LOG(ERROR) << "shape_representation_fns must be non-empty."; } VLOG(1) << "Created PJRT base device " << options.compilation_device_name << " device_name: " << name(); } /*static*/ absl::StatusOr<const PjRtBaseDevice::Metadata*> PjRtBaseDevice::GetMetadataFromDevice(DeviceBase* device) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf_communication.cc
return tokens[0]; } else { return builder.create<AfterAllOp>(loc, original_token.getType(), tokens) .getResult(); } } // Replaces `tf._XlaHostComputeMlir` with individual `mhlo.send` and `mhlo.recv` // ops per operand and result. Unique Channel IDs are assigned per transfer. // Sink tokens are created across all `mhlo.send` ops first and then by // all `mhlo.recv` ops.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 40.5K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device.cc
// Caches a XlaDeviceAllocator per <backend, device ordinal> pair. A // XlaDeviceAllocator is created on demand and is associated with a // XlaDevice. It outlives the device itself (for instance, the buffer // backing a tensor holds a pointer to the allocator for book-keeping, // and this buffer can outlast the device). class XlaDeviceAllocatorState { public: // Creates or returns a cached XlaDeviceAllocator for a given // backend and device_ordinal.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 21:05:42 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
// only worker 1. // 2. Create a context B using A. // 3. Create the variable in B. // 4. Create another single host server def C with only worker 0. // 5. Start the GRPC server for worker 0 using C. // 6. Create a context D using the full cluster server def E. // 7. Read the variable in D. TEST(CAPI, SingleHostServerDefV1Works) { // Create a server def that represents a 2-process cluster and a client.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 03 20:50:20 UTC 2023 - 94.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
auto begin_op = rewriter.create<arith::ConstantOp>(op->getLoc(), type, begin_attr); auto end_attr = DenseElementsAttr::get<int32_t>(type, padded_end); auto end_op = rewriter.create<arith::ConstantOp>(op->getLoc(), type, end_attr); auto stride_attr = DenseElementsAttr::get<int32_t>(type, padded_stride); auto stride_op = rewriter.create<arith::ConstantOp>(op->getLoc(), type, stride_attr);
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/tf2xla/internal/passes/extract_head_tail_outside_compilation.cc
} // Wraps block in a Launch. External uses of ops in the block will be return // values of the Launch and remapped to the Launch results. If `before` is set // to true, the Launch is created before `op`. Otherwise the Launch is created // after `op`. mlir::tf_device::LaunchOp CreateLaunchForBlock(OpBuilder* builder, Operation* op, bool before,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 20.6K bytes - Viewed (0)