aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/go/attrs.go
blob: f86c5737bc79f1e349e442669615598949ecd333 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
/*
Copyright 2018 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

package tensorflow

// #include <stdlib.h>
// #include "tensorflow/c/c_api.h"
import "C"
import (
	"fmt"
	"unsafe"
)

// makeCShape converts a shape specified in C.int64_t into a Shape.
func makeCShape(shape []C.int64_t) Shape {
	s := Shape{dims: make([]int64, len(shape))}
	for i, n := range shape {
		s.dims[i] = int64(n)
	}
	return s
}

// Attr returns the value of an attribute on op. It returns an error if the
// attribute does not exist.
func (op *Operation) Attr(name string) (interface{}, error) {
	cname := C.CString(name)
	defer C.free(unsafe.Pointer(cname))

	status := newStatus()
	meta := C.TF_OperationGetAttrMetadata(op.c, cname, status.c)
	if err := status.Err(); err != nil {
		return nil, err
	}

	if meta.is_list == 1 {
		return listAttribute(op, cname, meta)
	}
	return scalarAttribute(op, cname, meta)
}

func listAttribute(op *Operation, cname *C.char, meta C.TF_AttrMetadata) (interface{}, error) {
	status := newStatus()

	switch meta._type {
	case C.TF_ATTR_STRING:
		if meta.list_size == 0 {
			return []string(nil), nil
		}
		values := make([]unsafe.Pointer, meta.list_size)
		lengths := make([]C.size_t, meta.list_size)
		// Add one element in case total_size is zero.
		storage := make([]C.char, meta.total_size+1)
		C.TF_OperationGetAttrStringList(op.c, cname, &values[0], &lengths[0], C.int(meta.list_size), unsafe.Pointer(&storage[0]), C.size_t(meta.total_size), status.c)
		if err := status.Err(); err != nil {
			return nil, err
		}
		list := make([]string, meta.list_size)
		for i, val := range values {
			length := lengths[i]
			list[i] = C.GoStringN((*C.char)(val), C.int(length))
		}
		return list, nil

	case C.TF_ATTR_INT:
		if meta.list_size == 0 {
			return []int64(nil), nil
		}
		list := make([]C.int64_t, meta.list_size)
		C.TF_OperationGetAttrIntList(op.c, cname, &list[0], C.int(meta.list_size), status.c)
		if err := status.Err(); err != nil {
			return nil, err
		}
		vals := make([]int64, meta.list_size)
		for i, val := range list {
			vals[i] = int64(val)
		}
		return vals, nil

	case C.TF_ATTR_FLOAT:
		if meta.list_size == 0 {
			return []float32(nil), nil
		}
		list := make([]C.float, meta.list_size)
		C.TF_OperationGetAttrFloatList(op.c, cname, &list[0], C.int(meta.list_size), status.c)
		if err := status.Err(); err != nil {
			return nil, err
		}
		vals := make([]float32, meta.list_size)
		for i, val := range list {
			vals[i] = float32(val)
		}
		return vals, nil

	case C.TF_ATTR_BOOL:
		if meta.list_size == 0 {
			return []bool(nil), nil
		}
		list := make([]C.uchar, meta.list_size)
		C.TF_OperationGetAttrBoolList(op.c, cname, &list[0], C.int(meta.list_size), status.c)
		if err := status.Err(); err != nil {
			return nil, err
		}
		vals := make([]bool, meta.list_size)
		for i, val := range list {
			vals[i] = val == 1
		}
		return vals, nil

	case C.TF_ATTR_TYPE:
		if meta.list_size == 0 {
			return []DataType(nil), nil
		}
		list := make([]C.TF_DataType, meta.list_size)
		C.TF_OperationGetAttrTypeList(op.c, cname, &list[0], C.int(meta.list_size), status.c)
		if err := status.Err(); err != nil {
			return nil, err
		}
		vals := make([]DataType, meta.list_size)
		for i, val := range list {
			vals[i] = DataType(val)
		}
		return vals, nil

	case C.TF_ATTR_TENSOR:
		if meta.list_size == 0 {
			return []*Tensor(nil), nil
		}
		list := make([]*C.TF_Tensor, meta.list_size)
		C.TF_OperationGetAttrTensorList(op.c, cname, &list[0], C.int(meta.list_size), status.c)
		if err := status.Err(); err != nil {
			return nil, err
		}
		vals := make([]*Tensor, meta.list_size)
		for i, t := range list {
			vals[i] = newTensorFromC(t)
		}
		return vals, nil

	case C.TF_ATTR_SHAPE:
		if meta.list_size == 0 {
			return []Shape(nil), nil
		}
		dims := make([]*C.int64_t, meta.list_size)
		numDims := make([]C.int, meta.list_size)
		// Add one element in case total_size is zero.
		storage := make([]C.int64_t, meta.total_size+1)
		C.TF_OperationGetAttrShapeList(op.c, cname, &dims[0], &numDims[0], C.int(meta.list_size), &storage[0], C.int(meta.total_size), status.c)
		if err := status.Err(); err != nil {
			return nil, err
		}
		list := make([]Shape, meta.list_size)
		for i, dim := range dims {
			numDim := numDims[i]
			// If the number of dimensions is unknown, default to empty shape.
			if numDim < 0 {
				continue
			}
			// A []C.int64_t slice backed by C memory.
			// See: https://github.com/golang/go/wiki/cgo#turning-c-arrays-into-go-slices
			slice := (*[1 << 30]C.int64_t)(unsafe.Pointer(dim))[:numDim:numDim]
			list[i] = makeCShape(slice)
		}
		return list, nil

	default:
		return nil, fmt.Errorf("list type %v not supported", meta._type)
	}
}

func scalarAttribute(op *Operation, cname *C.char, meta C.TF_AttrMetadata) (interface{}, error) {
	status := newStatus()

	switch meta._type {
	case C.TF_ATTR_STRING:
		if meta.total_size == 0 {
			return "", nil
		}
		v := make([]C.char, meta.total_size)
		C.TF_OperationGetAttrString(op.c, cname, unsafe.Pointer(&v[0]), C.size_t(meta.total_size), status.c)
		if err := status.Err(); err != nil {
			return nil, err
		}
		return C.GoStringN(&v[0], C.int(meta.total_size)), nil

	case C.TF_ATTR_INT:
		var v C.int64_t
		C.TF_OperationGetAttrInt(op.c, cname, &v, status.c)
		return int64(v), status.Err()

	case C.TF_ATTR_FLOAT:
		var v C.float
		C.TF_OperationGetAttrFloat(op.c, cname, &v, status.c)
		return float32(v), status.Err()

	case C.TF_ATTR_BOOL:
		var v C.uchar
		C.TF_OperationGetAttrBool(op.c, cname, &v, status.c)
		return v == 1, status.Err()

	case C.TF_ATTR_TYPE:
		var v C.TF_DataType
		C.TF_OperationGetAttrType(op.c, cname, &v, status.c)
		return DataType(v), status.Err()

	case C.TF_ATTR_TENSOR:
		var v *C.TF_Tensor
		C.TF_OperationGetAttrTensor(op.c, cname, &v, status.c)
		if err := status.Err(); err != nil {
			return nil, err
		}
		return newTensorFromC(v), nil

	case C.TF_ATTR_SHAPE:
		numDims := meta.total_size
		// If number of dims is unknown return empty shape to indicate that.
		if numDims < 0 {
			return Shape{}, nil
		}
		if numDims == 0 {
			return ScalarShape(), nil
		}
		dims := make([]C.int64_t, numDims)
		C.TF_OperationGetAttrShape(op.c, cname, (*C.int64_t)(unsafe.Pointer(&dims[0])), C.int(numDims), status.c)
		if err := status.Err(); err != nil {
			return nil, err
		}
		return makeCShape(dims), nil

	default:
		return nil, fmt.Errorf("type %v not supported", meta._type)
	}
}