1 /* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
2
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15
16 #include "tensorflow/lite/delegates/gpu/gl/kernels/add.h"
17
18 #include <algorithm>
19 #include <any>
20 #include <cstdint>
21 #include <cstring>
22 #include <memory>
23 #include <string>
24 #include <utility>
25 #include <variant>
26 #include <vector>
27
28 #include "absl/memory/memory.h"
29 #include "absl/strings/str_cat.h"
30 #include "tensorflow/lite/delegates/gpu/common/convert.h"
31 #include "tensorflow/lite/delegates/gpu/common/data_type.h"
32 #include "tensorflow/lite/delegates/gpu/common/status.h"
33 #include "tensorflow/lite/delegates/gpu/common/types.h"
34
35 namespace tflite {
36 namespace gpu {
37 namespace gl {
38 namespace {
39
40 class Add : public NodeShader {
41 public:
GenerateCode(const GenerationContext & ctx,GeneratedCode * generated_code) const42 absl::Status GenerateCode(const GenerationContext& ctx,
43 GeneratedCode* generated_code) const final {
44 const auto& attr = std::any_cast<const ElementwiseAttributes&>(ctx.op_attr);
45 auto adds = std::get_if<Tensor<Linear, DataType::FLOAT32>>(&attr.param);
46 auto scalar = std::get_if<float>(&attr.param);
47
48 const auto* hwc_tensor =
49 std::get_if<Tensor<HWC, DataType::FLOAT32>>(&attr.param);
50
51 if (hwc_tensor) {
52 std::string code;
53 const std::string x_coord = hwc_tensor->shape.w == 1 ? "0" : "gid.x";
54 const std::string y_coord = hwc_tensor->shape.h == 1 ? "0" : "gid.y";
55 const std::string s_coord = hwc_tensor->shape.c == 1 ? "0" : "gid.z";
56 code = absl::StrCat("vec4 second_val = $hwc_buffer[", x_coord, ", ",
57 y_coord, ", ", s_coord, "]$;\n");
58 if (hwc_tensor->shape.c == 1) {
59 code += " second_val.y = second_val.x;\n";
60 code += " second_val.z = second_val.x;\n";
61 code += " second_val.w = second_val.x;\n";
62 }
63 code += " value_0 += second_val;\n";
64 *generated_code = {
65 /*parameters=*/{},
66 /*objects=*/
67 {{"hwc_buffer",
68 MakeReadonlyObject(
69 uint3(hwc_tensor->shape.w, hwc_tensor->shape.h,
70 DivideRoundUp(hwc_tensor->shape.c, 4)),
71 ConvertToPHWC4(
72 std::get<Tensor<HWC, DataType::FLOAT32>>(attr.param)))}},
73 /*shared_variables=*/{},
74 // Declare workload explicitly because shader depends on gid.z.
75 /*workload=*/
76 uint3(static_cast<int>(ctx.input_shapes[0][2]),
77 static_cast<int>(ctx.input_shapes[0][1]),
78 DivideRoundUp(static_cast<int>(ctx.input_shapes[0][3]), 4)),
79 /*workgroup=*/uint3(),
80 /*source_code=*/std::move(code),
81 /*input=*/IOStructure::AUTO,
82 /*output=*/IOStructure::AUTO,
83 };
84 return absl::OkStatus();
85 }
86
87 if (!adds && !scalar) {
88 // check if it is a broadcast
89 if (ctx.input_shapes.size() == 2 &&
90 ctx.input_shapes[0] != ctx.input_shapes[1] &&
91 ctx.input_shapes[1][1] == 1 && ctx.input_shapes[1][2] == 1 &&
92 ctx.input_shapes[0][3] == ctx.input_shapes[1][3]) {
93 // TODO(b/147771327): investigate why input_data_1[gid.z] worked before
94 *generated_code = {
95 /*parameters=*/{},
96 /*objects=*/{},
97 /*shared_variables=*/{},
98 /*workload=*/uint3(),
99 /*workgroup=*/uint3(),
100 /*source_code=*/
101 "value_0 = $input_data_0[gid.x, gid.y, gid.z]$ + "
102 " $input_data_1[0, 0, gid.z]$;",
103 /*input=*/IOStructure::ONLY_DEFINITIONS,
104 /*output=*/IOStructure::AUTO,
105 };
106 return absl::OkStatus();
107 }
108
109 std::string code = "value_0 = value_0";
110 for (int index = 1; index < ctx.input_shapes.size(); ++index) {
111 if (ctx.input_shapes[index] != ctx.input_shapes[0]) {
112 return absl::InvalidArgumentError("Shapes are not equal");
113 }
114 absl::StrAppend(&code, " + value_", index);
115 }
116 absl::StrAppend(&code, ";");
117 *generated_code = {
118 /*parameters=*/{},
119 /*objects=*/{},
120 /*shared_variables=*/{},
121 /*workload=*/uint3(),
122 /*workgroup=*/uint3(),
123 /*source_code=*/std::move(code),
124 /*input=*/IOStructure::AUTO,
125 /*output=*/IOStructure::AUTO,
126 };
127 return absl::OkStatus();
128 }
129
130 if (scalar) {
131 *generated_code = {
132 /*parameters=*/{{"scalar", *scalar}},
133 /*objects=*/{},
134 /*shared_variables=*/{},
135 /*workload=*/uint3(),
136 /*workgroup=*/uint3(),
137 /*source_code=*/"value_0 += $scalar$;",
138 /*input=*/IOStructure::AUTO,
139 /*output=*/IOStructure::AUTO,
140 };
141 return absl::OkStatus();
142 }
143
144 *generated_code = {
145 /*parameters=*/{},
146 /*objects=*/{{"add_buffer", MakeReadonlyObject(adds->data)}},
147 /*shared_variables=*/{},
148 // Declare workload explicitly because shader depends on gid.z.
149 /*workload=*/
150 uint3(ctx.input_shapes[0][2], ctx.input_shapes[0][1],
151 DivideRoundUp(ctx.input_shapes[0][3], 4)),
152 /*workgroup=*/uint3(),
153 /*source_code=*/"value_0 += $add_buffer[gid.z]$;",
154 /*input=*/IOStructure::AUTO,
155 /*output=*/IOStructure::AUTO,
156 };
157 return absl::OkStatus();
158 }
159 };
160
161 } // namespace
162
NewAddNodeShader()163 std::unique_ptr<NodeShader> NewAddNodeShader() {
164 return std::make_unique<Add>();
165 }
166
167 } // namespace gl
168 } // namespace gpu
169 } // namespace tflite
170