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tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
auto slice_size_attr = DenseIntElementsAttr::get(idx_type, slice_size_i32); auto slice_size = rewriter.create<arith::ConstantOp>(op.getLoc(), slice_size_attr); ArrayRef<int64_t> strides = op.getStrides(); // If stride of every dimension is 1, create tfl.slice and return early. // Otherwise, create tfl.strided_slice instead. if (llvm::all_of(strides, [](int64_t stride) { return stride == 1; })) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
tflite::BuiltinOperator builtin) { auto it = opcode_index_map_.insert({op_name, 0}); // If the insert succeeded, the opcode has not been created already. Create a // new operator code and update its index value in the map. if (it.second) { it.first->second = opcodes_.size(); auto custom_code = builtin == tflite::BuiltinOperator_CUSTOM
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
tensorflow/cc/gradients/math_grad.cc
auto output_shape_kept_dims = ReducedShapeHelper(scope, input_shape, op.input(1)); // This step "flips" any 1s with values from the input_shape, and // replaces remaining entries with 1. This creates a shape that // shows how much each dimension in the incoming gradient should be // replicated. // tile_scaling = [1, 3] auto tile_scaling = SafeDivHelper(scope, input_shape, output_shape_kept_dims);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 25 18:20:20 UTC 2023 - 50.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
rewriter.create<SubtractOp>(loc, b_max_diag_len, diag_len_d), b_zero); // x = max(d, 0) - offset // y = max(-d, 0) - offset Value x = rewriter.create<SubtractOp>( loc, rewriter.create<MaxOp>(loc, d, b_zero), offset); Value y = rewriter.create<SubtractOp>( loc, rewriter.create<MaxOp>(loc, neg_d, b_zero), offset); Value n_plus_x = rewriter.create<AddOp>(loc, iotaN, x);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/quantize.cc
// be categorized as cusom ops despite each of them may require different // behaviors. In that case, these ops can be marked in the custom map and // treated separately in this pass. auto custom_op = llvm::dyn_cast_or_null<CustomOp>(op); if (!custom_op) return false; // Custom op which is marked in the custom op map is quantizable.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 13.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/cast_bf16_ops_to_f32.cc
if (failed(applyPatternsAndFoldGreedily(module_op, std::move(patterns)))) { module_op.emitError() << "quant-cast-bf16-ops-to-f32 failed."; signalPassFailure(); } } } // namespace // Creates an instance of the Cast BF16 ops to F32 pass. std::unique_ptr<OperationPass<ModuleOp>> CreateCastBf16OpsToF32Pass() { return std::make_unique<CastBf16OpsToF32Pass>(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Dec 10 05:52:02 UTC 2023 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/insert_quantized_functions.cc
"attribute in the quantized composite function."; signalPassFailure(); } } } } // namespace // Creates an instance of the pass for inserting quantized functions. std::unique_ptr<OperationPass<ModuleOp>> CreateInsertQuantizedFunctionsPass( QuantMethod quantization_method, OpSet target_opset) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/modify_io_nodes.cc
return; } auto new_func_type = builder.getFunctionType(new_input_types, new_output_types); func.setType(new_func_type); } } // namespace // Creates an instance of the TensorFlow Lite modify io nodes pass. std::unique_ptr<OperationPass<func::FuncOp>> CreateModifyIONodesPass( Type input_type, Type output_type) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/xla_call_module_serialization.cc
return WalkResult::advance(); }); if (result.wasInterrupted()) { return failure(); } return builder.getArrayAttr(function_list); } // Creates a pruned module containing the XlaCallModule's entry function and // other functions transitively called by the entry function. FailureOr<OwningOpRef<ModuleOp>> PruneStablehloModule(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.5K bytes - Viewed (0) -
tensorflow/cc/saved_model/fingerprinting.cc
result_hash, tensorflow::Fingerprint64(concrete_function_serialized)); } // TODO(b/241294832): Complete canonicalization of `object_graph_def.nodes`. return result_hash; } // Creates a FingerprintDef proto from a SavedModel and the checkpoint meta file // (.index) in `export_dir`. absl::StatusOr<FingerprintDef> CreateFingerprintDefPb( absl::string_view export_dir, std::string pb_file) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 26 00:24:44 UTC 2024 - 9.8K bytes - Viewed (0)