| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| identify_prelu.cc | 67 const auto* mul_op = GetOpWithOutput(*model, add_op->inputs[1]); local
68 if (mul_op == nullptr || mul_op->type != OperatorType::kMul ||
69 mul_op->inputs.size() != 2 ||
70 mul_op->fused_activation_function != FusedActivationFunctionType::kNone) {
74 const auto neg_alpha_tensor_name = mul_op->inputs[0];
76 const auto* relu_neg_input_op = GetOpWithOutput(*model, mul_op->inputs[1]);
128 DeleteArrayIfUsedOnce(mul_op->inputs[1], model);
|
| resolve_multiply_by_zero.cc | 59 auto* mul_op = mul_it->get(); local
60 if (mul_op->type != OperatorType::kMul) {
63 const auto& output_array_name = mul_op->outputs[0];
84 IsConstantParameterArray(*model, mul_op->inputs[0]),
85 IsConstantParameterArray(*model, mul_op->inputs[1]),
102 model->GetArray(mul_op->inputs[index_of_constant_input]);
158 DeleteArrayIfUsedOnce(mul_op->inputs[0], model);
159 DeleteArrayIfUsedOnce(mul_op->inputs[1], model);
|
| resolve_batch_normalization.cc | 63 auto* mul_op = new MulOperator; local
71 mul_op->inputs = {bn_op->inputs[0], mul_param_name};
72 mul_op->outputs = {mul_name};
75 AddMessageF("Splitting %s into %s and %s", LogName(*bn_op), LogName(*mul_op),
79 auto& intermediate_array = model->GetOrCreateArray(mul_op->outputs[0]);
84 auto mul_it = model->operators.emplace(add_it, mul_op);
86 DCHECK_EQ(mul_it->get(), mul_op);
|
| /external/tensorflow/tensorflow/lite/toco/graph_transformations/tests/ |
| fuse_binary_into_following_affine_test.cc | 82 auto* mul_op = new MulOperator; local
83 mul_op->inputs = {"Input", "MulInput2"};
84 mul_op->outputs = {"MulOutput"};
85 model_->operators.push_back(std::unique_ptr<Operator>(mul_op));
124 auto* mul_op = new MulOperator; local
125 mul_op->inputs = {"Input", "MulInput2"};
126 mul_op->outputs = {"MulOutput"};
127 model_->operators.push_back(std::unique_ptr<Operator>(mul_op));
|
| /external/tensorflow/tensorflow/tools/graph_transforms/ |
| fold_batch_norms_test.cc | 64 Output mul_op = Mul(root.WithOpName("output"), conv_op, mul_values_op); local
115 Output mul_op = Mul(root.WithOpName("output"), conv_op, mul_values_op); local
166 Output mul_op = Mul(root.WithOpName("output"), conv_op, mul_values_op); local
223 Output mul_op = Mul(root.WithOpName("output"), matmul_op, mul_values_op); local
|
| quantize_nodes_test.cc | 176 Output mul_op = Mul(root.WithOpName("mul"), c_op, d_op); local
1249 Output mul_op = Mul(root.WithOpName("mul_op"), add_op, c_op); local
1298 Output mul_op = Mul(root.WithOpName("mul_op"), add_op, c_op); local
[all...] |
| /external/mesa3d/src/compiler/nir/ |
| nir_loop_analyze.c | 408 nir_op mul_op; local
413 mul_op = nir_op_fmul;
419 mul_op = nir_op_imul;
431 nir_eval_const_opcode(mul_op, 1, bit_size, mul_src);
|
| /external/mesa3d/src/gallium/drivers/vc4/ |
| vc4_qpu_schedule.c | 353 uint32_t mul_op = QPU_GET_FIELD(inst, QPU_OP_MUL); local
375 if (mul_op != QPU_M_NOP) {
[all...] |
| /external/tensorflow/tensorflow/lite/toco/ |
| import_tensorflow.cc | 1689 auto* mul_op = new MulOperator; local
1749 auto* mul_op = new MulOperator; local
[all...] |
| export_tensorflow.cc | 702 tensorflow::NodeDef* mul_op = tensorflow_graph->add_node(); local
703 mul_op->set_op("Mul");
704 mul_op->set_name(src_op.outputs[0]);
706 *mul_op->add_input() = src_op.inputs[0];
707 *mul_op->add_input() = src_op.inputs[1];
708 (*mul_op->mutable_attr())["T"].set_type(
928 tensorflow::NodeDef* mul_op = tensorflow_graph->add_node(); local
[all...] |
| /bionic/libc/kernel/uapi/asm-mips/asm/ |
| inst.h | 164 mul_op, enumerator in enum:spec2_op
|
| /external/kernel-headers/original/uapi/asm-mips/asm/ |
| inst.h | 67 madd_op, maddu_op, mul_op, spec2_3_unused_op, enumerator in enum:spec2_op
|
