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Results 11 - 20 of 162 for output_types (0.25 sec)
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tensorflow/compiler/mlir/lite/utils/lstm_utils.cc
size_of_splits = dim / splits; output_shape.push_back(size_of_splits); } else { output_shape.push_back(dim); } } SmallVector<mlir::Type, 4> output_types; for (int i = 0; i < splits; ++i) { output_types.push_back( mlir::RankedTensorType::get(output_shape, input_type.getElementType())); } auto size_of_splits_op = Create1DConstantOp(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 36.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/xla_sharding_util.cc
shape[split_dimension] = shape[split_dimension] / num_split; output_type = mlir::RankedTensorType::get(shape, input_type.getElementType()); } } else { output_type = input_type; } // Creates a split op that splits |src_input| along |split_dimension|. llvm::SmallVector<mlir::Type, 4> output_types(num_split, output_type); *split_op = builder->create<mlir::TF::SplitOp>(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 21:28:13 UTC 2024 - 34K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/resource-alias-analysis-test.mlir
%iter_handle1 = "tf.IteratorV2"() {container = "c", shared_name = "v0", output_shapes = [#tf_type.shape<>], output_types = [!tf_res]} : () -> !tf_res // expected-remark@below {{Result #0, ID 1 : 0, 1}} %iter_handle2 = "tf.IteratorV2"() {container = "c", shared_name = "v1", output_shapes = [#tf_type.shape<>], output_types = [!tf_res]} : () -> !tf_res func.return } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jul 21 17:19:47 UTC 2023 - 22.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize.cc
} // Collect all the quantized outputs and replace them by the results of // the new quantized op. llvm::SmallDenseMap<Value, int> outputs_replaced; SmallVector<Type, 4> output_types; output_types.reserve(quantizing_op->getNumResults()); for (const auto& enumerated_result : llvm::enumerate(quantizing_op->getResults())) { Value result = enumerated_result.value();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 23.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/quantization_patterns.cc
arg_types.push_back(arg.getType()); arg_locs.push_back(arg.getLoc()); } SmallVector<Type> output_types; for (const Value output : xla_call_module_op.getOutput()) { output_types.push_back(output.getType()); } entry_func_op.setFunctionType( rewriter.getFunctionType(arg_types, output_types)); // Replace argument types and locs. Block& entry = entry_func_op->getRegion(0).front();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 06:04:36 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_data_optimization.td
def FuseMapAndBatch : Pat< (TF_BatchDatasetV2Op (TF_MapDatasetOp $input_dataset, $other_arguments, $f, $output_types, $output_shapes, $use_inter_op_parallelism, $preserve_cardinality, $force_synchronous, $map_dataset_metadata), $batch_size, $drop_remainder, $parallel_copy, $batch_output_types,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_rewrite_pass.cc
llvm::SmallVector<Type, 4> output_types; auto result = tensorflow::GetOutputTypesForLogicalDeviceComputation( core, output_sharding_config, cluster_func, &output_types, &(*cluster_to_core_index)[core]); if (failed(result)) return failure(); for (Type t : output_types) concatenated_output_types.emplace_back(t); }
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/quantization/common/quantization_lib/quantization_utils.h
} // Collect all the quantized outputs and replace them by the results of // the new quantized op. llvm::SmallDenseMap<Value, int> outputs_replaced; SmallVector<Type, 4> output_types; output_types.reserve(quantizing_op->getNumResults()); for (const auto& enumerated_result : llvm::enumerate(quantizing_op->getResults())) { Value result = enumerated_result.value();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_cluster_util.cc
return std::find(node.input_types().begin(), node.input_types().end(), DT_RESOURCE) != node.input_types().end() || std::find(node.output_types().begin(), node.output_types().end(), DT_RESOURCE) != node.output_types().end(); } void RemoveFromXlaCluster(NodeDef* node_def) { node_def->mutable_attr()->erase(kXlaClusterAttr); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 29 08:39:39 UTC 2024 - 21.3K bytes - Viewed (0) -
tensorflow/compiler/jit/build_xla_ops_pass.cc
MemoryTypeVector input_mtypes, output_mtypes; DeviceType device_type(""); TF_RETURN_IF_ERROR( DeviceNameToDeviceType(n->assigned_device_name(), &device_type)); TF_RETURN_IF_ERROR(MemoryTypesForNode(root.graph()->op_registry(), device_type, n->def(), &input_mtypes, &output_mtypes)); return output_mtypes; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 24.3K bytes - Viewed (0)