tensorflow/tensorflow/cc/framework/cc_ops_test.cc at master · codeplaysoftware/tensorflow · GitHub

Repository navigation

History

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

246

247

248

249

250

251

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.

==============================================================================*/

#include "tensorflow/cc/client/client_session.h"

#include "tensorflow/cc/framework/testutil.h"

#include "tensorflow/cc/ops/standard_ops.h"

#include "tensorflow/cc/ops/test_op.h"

#include "tensorflow/core/framework/node_def_util.h"

#include "tensorflow/core/framework/tensor_testutil.h"

#include "tensorflow/core/lib/core/status_test_util.h"

namespace tensorflow {

namespace ops {

namespace {

Output Linear(const Scope& scope, Input x, Input w, Input b) {

auto cop_scopes = scope.GetCompositeOpScopes("linear");

auto m = MatMul(cop_scopes.child, x, w);

return BiasAdd(cop_scopes.last, m, b);

}

void GetColocationConstraints(const Output& tensor,

std::vector<string>* constraints) {

constraints->clear();

TF_EXPECT_OK(GetNodeAttr(tensor.op().node()->attrs(), kColocationAttrName,

constraints));

}

TEST(CCOpTest, Basic) {

Scope root = Scope::NewRootScope();

auto c = Const(root, {{1, 1}});

// NOTE: The recommended style for constructing ops is

// auto v = OpConstructor(t0, t1, ..);

// Since the wrappers are implemented as one class per op, the following

// style is also possible :

// PrimitiveOp p(t0, t1, ...);

// It's being used here ONLY to ensure that, that style is tested.

MatMul m(root, c, {{41}, {1}});

TF_EXPECT_OK(root.status());

Tensor out;

test::GetTensor(root, m, &out);

test::ExpectTensorEqual<int>(out, test::AsTensor<int>({42}, {1, 1}));

}

TEST(CCOpTest, Attrs) {

Scope root = Scope::NewRootScope();

auto m = MatMul(root, {{1}, {1}}, {{41}, {1}}, MatMul::TransposeA(true));

TF_EXPECT_OK(root.status());

Tensor out;

test::GetTensor(root, m, &out);

test::ExpectTensorEqual<int>(out, test::AsTensor<int>({42}, {1, 1}));

}

TEST(CCOpTest, SplitConcat) {

Scope root = Scope::NewRootScope();

Split p(root, 0, {{1}, {2}}, 2);

auto c = Concat(root, {p[0], p[1]}, 0);

TF_EXPECT_OK(root.status());

Tensor out;

test::GetTensor(root, c, &out);

test::ExpectTensorEqual<int>(out, test::AsTensor<int>({1, 2}, {2, 1}));

}

TEST(CCOpTest, CompositeOp) {

Scope root = Scope::NewRootScope();

auto l = Linear(root.WithOpName("layer0"), {{10.0f, -3.0f}},

{{.8f, .5f}, {.1f, .6f}}, {-8.0f, 31.0f});

TF_EXPECT_OK(root.status());

EXPECT_EQ(l.node()->name(), "layer0");

Tensor out;

test::GetTensor(root, l, &out);

test::ExpectClose(out, test::AsTensor<float>({-0.3, 34.2}, {1, 2}));

}

TEST(CCOpTest, MultiOutput) {

Scope root = Scope::NewRootScope();

auto u = Unique(root, {1, 2, 2, 4, 3, 2});

std::vector<Tensor> outputs;

test::GetTensors(root, {u.y, u.idx}, &outputs);

test::ExpectTensorEqual<int>(outputs[0], test::AsTensor<int>({1, 2, 4, 3}));

test::ExpectTensorEqual<int>(outputs[1],

test::AsTensor<int>({0, 1, 1, 2, 3, 1}));

}

TEST(CCOpTest, ExampleTrainer) {

Scope root = Scope::NewRootScope();

// a = [3 2; -1 0]

auto a = Const(root, {{3.f, 2.f}, {-1.f, 0.f}});

// x = [1.0; 1.0]

auto x = Const(root.WithOpName("x"), {{1.f}, {1.f}});

// y = a * x

auto y = MatMul(root.WithOpName("y"), a, x);

// y2 = y.^2

auto y2 = Square(root, y);

// y2_sum = sum(y2)

auto y2_sum = Sum(root, y2, 0);

// y_norm = sqrt(y2_sum)

auto y_norm = Sqrt(root, y2_sum);

// y_normalized = y ./ y_norm

auto y_normalized = Div(root.WithOpName("y_normalized"), y, y_norm);

Tensor out;

test::GetTensor(root, y_normalized, &out);

test::ExpectTensorNear<float>(

out, test::AsTensor<float>({0.98058069, -0.19611613}, {2, 1}), 1e-5);

}

TEST(CCOpTest, ThrowAwayOp) {

Scope root = Scope::NewRootScope();

ThrowAway1(root, 1, 2.3f, 1, 1, 1, ThrowAway1::Builder(42));

ThrowAway2(root, ThrowAway2::ThrowAway2_(3).Scope(1));

TF_EXPECT_OK(root.status());

}

TEST(CCOpTest, ControlDeps) {

Scope root = Scope::NewRootScope();

auto v = Variable(root, {}, DT_FLOAT);

auto assign = Assign(root, v, 41.0f);

Scope with_control_deps = root.WithControlDependencies(assign);

auto add = Add(with_control_deps, v, 1.0f);

Scope no_control_deps = with_control_deps.WithNoControlDependencies();

auto sub = Sub(no_control_deps, 3.0f, 2.0f);

auto is_inited =

IsVariableInitialized(no_control_deps.WithControlDependencies(sub), v);

TF_EXPECT_OK(root.status());

std::vector<Tensor> out;

test::GetTensors(root, {add}, &out);

test::ExpectTensorNear<float>(out[0], test::AsTensor<float>({42.0f}, {}),

1e-5);

out.clear();

// Note : GetTensors creates a new session, so 'v' is uninitialized.

// sub should have no control deps, so it should not cause the assign to run.

// Hence is_inited should be false.

test::GetTensors(root, {sub, is_inited}, &out);

test::ExpectTensorNear<float>(out[0], test::AsTensor<float>({1.0f}, {}),

1e-5);

test::ExpectTensorEqual<bool>(out[1], test::AsTensor<bool>({false}, {}));

}

TEST(CCOpTest, KernelLabel) {

Scope root = Scope::NewRootScope();

auto add = Add(root.WithKernelLabel("AddWithKernelLabel"), 1.0f, 2.0f);

TF_EXPECT_OK(root.status());

AttrSlice attrs = add.z.op().node()->attrs();

const auto* kernel_attr = attrs.Find("_kernel");

ASSERT_TRUE(kernel_attr);

TF_EXPECT_OK(AttrValueHasType(*kernel_attr, "string"));

EXPECT_EQ(kernel_attr->s(), "AddWithKernelLabel");

}

TEST(CCOpTest, ColocateWith) {

Scope root = Scope::NewRootScope();

auto c1 = Const(root.WithOpName("c1"), 1);

auto c2 = Const(root.WithOpName("c2").ColocateWith(c1), 2);

std::vector<string> constraints;

GetColocationConstraints(c2, &constraints);

EXPECT_EQ(constraints[0], "loc:@c1");

auto c3 = Const(root.WithOpName("c3").ColocateWith(c2), 3);

GetColocationConstraints(c3, &constraints);

EXPECT_EQ(constraints[0], "loc:@c1");

auto a = Const(root.WithOpName("a"), 4);

auto c4 = Const(root.WithOpName("c4").ColocateWith(a), 5);

GetColocationConstraints(c4, &constraints);

EXPECT_EQ(constraints[0], "loc:@a");

auto c5 = Const(root.WithOpName("c5").ColocateWith(c3).ColocateWith(c4), 6);

GetColocationConstraints(c5, &constraints);

EXPECT_EQ(constraints[0], "loc:@a");

EXPECT_EQ(constraints[1], "loc:@c1");

Scope with_colocate = root.ColocateWith(c3).ColocateWith(c4);

auto c6 = Const(with_colocate.WithOpName("c6").ClearColocation(), 7);

EXPECT_FALSE(c6.op().node()->attrs().Find("_class"));

}

TEST(CCOpTest, TemplatedConst) {

Scope root = Scope::NewRootScope();

auto c1 = ops::Const<float>(root, {{3, 2}, {-1, 0}});

TF_EXPECT_OK(root.status());

Tensor out;

test::GetTensor(root, c1, &out);

test::ExpectTensorEqual<float>(

out, test::AsTensor<float>({3.f, 2.f, -1.f, 0.f}, {2, 2}));

auto c2 = ops::Const<string>(root, {{"this"}, {"is"}, {"a"}, {"constant"}});

test::GetTensor(root, c2, &out);

test::ExpectTensorEqual<string>(

out, test::AsTensor<string>({"this", "is", "a", "constant"}, {4, 1}));

}

TEST(CCOpTest, EmptyConst) {

Scope root = Scope::NewRootScope();

auto c1 = ops::Const(root, {});

TF_CHECK_OK(root.status());

Tensor out;

test::GetTensor(root, c1, &out);

test::ExpectTensorEqual<float>(out, Tensor(DT_FLOAT, {0}));

auto c2 = ops::Const(root, {{}});

TF_CHECK_OK(root.status());

test::GetTensor(root, c2, &out);

test::ExpectTensorEqual<float>(out, Tensor(DT_FLOAT, {1, 0}));

auto c3 = ops::Const(root, {{{}, {}}});

TF_CHECK_OK(root.status());

test::GetTensor(root, c3, &out);

test::ExpectTensorEqual<float>(out, Tensor(DT_FLOAT, {1, 2, 0}));

auto c4 = ops::Const<int>(root, {{{}}});

TF_CHECK_OK(root.status());

test::GetTensor(root, c4, &out);

test::ExpectTensorEqual<int>(out, Tensor(DT_INT32, {1, 1, 0}));

ops::Const(root, {{}, {{}}});

EXPECT_FALSE(root.status().ok());

}

TEST(CCOpTest, InvalidFinalize) {

Scope root = Scope::NewRootScope();

auto read_up_to =

ops::ReaderReadUpTo(root, Variable(root, {}, DT_STRING),

Variable(root, {}, DT_STRING), static_cast<int32>(2));

EXPECT_FALSE(root.status().ok());

auto err_msg = root.status().error_message();

EXPECT_NE(err_msg.find("'num_records' passed int32 expected int64"),

string::npos);

}

} // namespace

} // namespace ops

} // namespace tensorflow

tensorflow/tensorflow/cc/framework/cc_ops_test.cc at master · codeplaysoftware/tensorflow · GitHub

Repository navigation

Expand file tree

Breadcrumbs

cc_ops_test.cc

Latest commit

History

Breadcrumbs

cc_ops_test.cc

File metadata and controls