| /test/xts/acts/ai/neural_network_runtime/v1_0/interface/src/ |
| H A D | MemoryTest.cpp | 82 OH_NN_Memory *OHNNMemory = OH_NNExecutor_AllocateInputMemory(executor, 2, graphArgs.operands[0].length); in HWTEST_F()
142 OH_NN_Memory *OHNNMemory = OH_NNExecutor_AllocateInputMemory(executor, 0, graphArgs.operands[0].length); in HWTEST_F()
144 OH_NN_Memory *OHNNMemory2 = OH_NNExecutor_AllocateInputMemory(executor, 0, graphArgs.operands[0].length); in HWTEST_F()
168 std::thread th1(CheckCreateInputMemory, executor, 0, graphArgs.operands[0].length); in HWTEST_F()
169 std::thread th2(CheckCreateInputMemory, executor, 1, graphArgs.operands[1].length); in HWTEST_F()
201 OH_NN_Memory *OHNNMemory = OH_NNExecutor_AllocateOutputMemory(executor, 2, graphArgs.operands[0].length); in HWTEST_F()
261 OH_NN_Memory *OHNNMemory = OH_NNExecutor_AllocateOutputMemory(executor, 0, graphArgs.operands[0].length); in HWTEST_F()
263 OH_NN_Memory *OHNNMemory2 = OH_NNExecutor_AllocateOutputMemory(executor, 0, graphArgs.operands[0].length); in HWTEST_F()
291 std::thread th1(CheckCreateOutputMemory, executor, 0, graphArgs.operands[3].length); in HWTEST_F()
292 std::thread th2(CheckCreateOutputMemory, executor, 1, graphArgs.operands[ in HWTEST_F()
[all...] |
| H A D | ExecutorTest.cpp | 97 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
125 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
153 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
181 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
210 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
238 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
265 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
297 for (size_t i = 0; i < graphArgs.operands.size(); i++) { in HWTEST_F()
298 const OHNNOperandTest &operandTem = graphArgs.operands[i]; in HWTEST_F()
337 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| /test/xts/acts/ai/neural_network_runtime/v2_0/interface/src/ |
| H A D | MemoryTest.cpp | 82 OH_NN_Memory *OHNNMemory = OH_NNExecutor_AllocateInputMemory(executor, 2, graphArgs.operands[0].length); in HWTEST_F()
142 OH_NN_Memory *OHNNMemory = OH_NNExecutor_AllocateInputMemory(executor, 0, graphArgs.operands[0].length); in HWTEST_F()
144 OH_NN_Memory *OHNNMemory2 = OH_NNExecutor_AllocateInputMemory(executor, 0, graphArgs.operands[0].length); in HWTEST_F()
168 std::thread th1(CheckCreateInputMemory, executor, 0, graphArgs.operands[0].length); in HWTEST_F()
169 std::thread th2(CheckCreateInputMemory, executor, 1, graphArgs.operands[1].length); in HWTEST_F()
201 OH_NN_Memory *OHNNMemory = OH_NNExecutor_AllocateOutputMemory(executor, 2, graphArgs.operands[0].length); in HWTEST_F()
261 OH_NN_Memory *OHNNMemory = OH_NNExecutor_AllocateOutputMemory(executor, 0, graphArgs.operands[0].length); in HWTEST_F()
263 OH_NN_Memory *OHNNMemory2 = OH_NNExecutor_AllocateOutputMemory(executor, 0, graphArgs.operands[0].length); in HWTEST_F()
291 std::thread th1(CheckCreateOutputMemory, executor, 0, graphArgs.operands[3].length); in HWTEST_F()
292 std::thread th2(CheckCreateOutputMemory, executor, 1, graphArgs.operands[ in HWTEST_F()
[all...] |
| H A D | ExecutorTest.cpp | 97 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
125 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
153 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
181 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
210 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
238 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
265 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
297 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
332 const OHNNOperandTest &operandTem = graphArgs.operands[0]; in HWTEST_F()
367 const OHNNOperandTest &operandTem = graphArgs.operands[ in HWTEST_F()
[all...] |
| /test/xts/acts/ai/nncore/opstest/src/ |
| H A D | logical_and_test.cpp | 35 .operands = {input0, input1, output},
51 .operands = {input0, input1, output},
67 .operands = {input0, input1, output},
83 .operands = {input0, input1, output},
99 .operands = {input0, input1, output},
262 graphArgs.operands = {logicalAndModel.input0, logicalAndModel.input1, logicalAndModel.input1,
in HWTEST_F()
283 graphArgs.operands = {logicalAndModel.input0, logicalAndModel.input1, logicalAndModel.output,
in HWTEST_F()
307 graphArgs.operands = {logicalAndModel.input0, logicalAndModel.input1, logicalAndModel.output, activation};
in HWTEST_F()
381 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
382 const OHNNOperandTest &operandTem = graphArgs.operands[ in HWTEST_F()
[all...] |
| H A D | logical_not_test.cpp | 33 .operands = {input, output},
47 .operands = {input, output},
61 .operands = {input, output},
75 .operands = {input, output},
89 .operands = {input, output},
252 graphArgs.operands = {logicalNotModel.input, logicalNotModel.input, logicalNotModel.output};
in HWTEST_F()
272 graphArgs.operands = {logicalNotModel.input, logicalNotModel.output, logicalNotModel.output};
in HWTEST_F()
295 graphArgs.operands = {logicalNotModel.input, logicalNotModel.output, activation};
in HWTEST_F()
369 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
370 const OHNNOperandTest &operandTem = graphArgs.operands[ in HWTEST_F()
[all...] |
| H A D | scatter_nd_test.cpp | 40 .operands = {indices, updates, shape, output},
61 .operands = {indices, updates, shape, output},
82 .operands = {indices, updates, shape, output},
103 .operands = {indices, updates, shape, output},
237 graphArgs.operands = {scatterNdModel.indices, scatterNdModel.indices, scatterNdModel.updates,
in HWTEST_F()
258 graphArgs.operands = {scatterNdModel.indices, scatterNdModel.updates, scatterNdModel.shape,
in HWTEST_F()
282 graphArgs.operands = {scatterNdModel.indices, scatterNdModel.updates, scatterNdModel.shape,
in HWTEST_F()
357 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
358 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
393 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| H A D | space_to_depth_test.cpp | 36 .operands = {input, output, blockSize},
53 .operands = {input, output, blockSize},
70 .operands = {input, output, blockSize},
87 .operands = {input, output, blockSize},
221 graphArgs.operands = {spaceToDepthModel.input, spaceToDepthModel.input,
in HWTEST_F()
243 graphArgs.operands = {spaceToDepthModel.input, spaceToDepthModel.output,
in HWTEST_F()
268 graphArgs.operands = {spaceToDepthModel.input, spaceToDepthModel.output,
in HWTEST_F()
344 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
345 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
381 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| H A D | not_equal_test.cpp | 35 .operands = {input0, input1, output},
51 .operands = {input0, input1, output},
68 .operands = {input0, input1, output},
84 .operands = {input0, input1, output},
218 graphArgs.operands = {notEqualModel.input0, notEqualModel.input1, notEqualModel.input1, notEqualModel.output};
in HWTEST_F()
238 graphArgs.operands = {notEqualModel.input0, notEqualModel.input1, notEqualModel.output, notEqualModel.output};
in HWTEST_F()
261 graphArgs.operands = {notEqualModel.input0, notEqualModel.input1, notEqualModel.output, activation};
in HWTEST_F()
335 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
336 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
371 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| H A D | leaky_relu_test.cpp | 37 .operands = {input, output, negativeSlope},
55 .operands = {input, output, negativeSlope},
73 .operands = {input, output, negativeSlope},
88 .operands = {input, output},
222 graphArgs.operands = {leakyReluModel.input, leakyReluModel.input,
in HWTEST_F()
244 graphArgs.operands = {leakyReluModel.input, leakyReluModel.output,
in HWTEST_F()
269 graphArgs.operands = {leakyReluModel.input, leakyReluModel.output, leakyReluModel.negativeSlope, activation};
in HWTEST_F()
343 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
344 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
379 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| H A D | greater_test.cpp | 35 .operands = {input0, input1, output},
51 .operands = {input0, input1, output},
68 .operands = {input0, input1, output},
84 .operands = {input0, input1, output},
218 graphArgs.operands = {greaterModel.input0, greaterModel.input1, greaterModel.input1, greaterModel.output};
in HWTEST_F()
238 graphArgs.operands = {greaterModel.input0, greaterModel.input1, greaterModel.output, greaterModel.output};
in HWTEST_F()
261 graphArgs.operands = {greaterModel.input0, greaterModel.input1, greaterModel.output, activation};
in HWTEST_F()
335 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
336 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
371 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| H A D | less_test.cpp | 35 .operands = {input0, input1, output},
52 .operands = {input0, input1, output},
69 .operands = {input0, input1, output},
85 .operands = {input0, input1, output},
219 graphArgs.operands = {lessModel.input0, lessModel.input1, lessModel.input1, lessModel.output};
in HWTEST_F()
239 graphArgs.operands = {lessModel.input0, lessModel.input1, lessModel.output, lessModel.output};
in HWTEST_F()
262 graphArgs.operands = {lessModel.input0, lessModel.input1, lessModel.output, activation};
in HWTEST_F()
336 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
337 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
372 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| H A D | greater_equal_test.cpp | 35 .operands = {input0, input1, output},
51 .operands = {input0, input1, output},
68 .operands = {input0, input1, output},
84 .operands = {input0, input1, output},
218 graphArgs.operands = {greaterEqualModel.input0, greaterEqualModel.input1,
in HWTEST_F()
239 graphArgs.operands = {greaterEqualModel.input0, greaterEqualModel.input1,
in HWTEST_F()
263 graphArgs.operands = {greaterEqualModel.input0, greaterEqualModel.input1, greaterEqualModel.output, activation};
in HWTEST_F()
338 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
339 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
375 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| H A D | exp_test.cpp | 39 .operands = {input, output, base, scale, shift},
53 .operands = {input, output},
73 .operands = {input, output, base, scale, shift},
93 .operands = {input, output, base, scale, shift},
227 graphArgs.operands = {expModel.input, expModel.input, expModel.output,
in HWTEST_F()
249 graphArgs.operands = {expModel.input, expModel.output, expModel.output,
in HWTEST_F()
274 graphArgs.operands = {expModel.input, expModel.output, expModel.base,
in HWTEST_F()
349 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
350 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
385 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| H A D | equal_test.cpp | 35 .operands = {input0, input1, output},
51 .operands = {input0, input1, output},
68 .operands = {input0, input1, output},
84 .operands = {input0, input1, output},
218 graphArgs.operands = {equalModel.input0, equalModel.input1, equalModel.input1, equalModel.output};
in HWTEST_F()
238 graphArgs.operands = {equalModel.input0, equalModel.input1, equalModel.output, equalModel.output};
in HWTEST_F()
261 graphArgs.operands = {equalModel.input0, equalModel.input1, equalModel.output, activation};
in HWTEST_F()
335 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
336 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
371 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| H A D | flatten_test.cpp | 34 .operands = {input, output},
49 .operands = {input, output},
64 .operands = {input, output},
78 .operands = {input, output},
212 graphArgs.operands = {flattenModel.input, flattenModel.input, flattenModel.output};
in HWTEST_F()
232 graphArgs.operands = {flattenModel.input, flattenModel.output, flattenModel.output};
in HWTEST_F()
255 graphArgs.operands = {flattenModel.input, flattenModel.output, activation};
in HWTEST_F()
329 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
330 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
365 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| H A D | unstack_test.cpp | 36 .operands = {input, output, output, axis},
53 .operands = {input, output, output, output, axis},
70 .operands = {input, output, output, axis},
87 .operands = {input, output, output, output, axis},
103 .operands = {input, output, axis},
266 graphArgs.operands = {unstackModel.input, unstackModel.input, unstackModel.output,
in HWTEST_F()
291 graphArgs.operands = {unstackModel.input, unstackModel.output, unstackModel.output, unstackModel.axis, activation};
in HWTEST_F()
365 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
366 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
401 for (size_t i = 0; i < graphArgs.operands in HWTEST_F()
[all...] |
| H A D | swish_test.cpp | 33 .operands = {input, output},
47 .operands = {input, output},
61 .operands = {input, output},
166 graphArgs.operands = {swishModel.input, swishModel.input, swishModel.output};
in HWTEST_F()
186 graphArgs.operands = {swishModel.input, swishModel.output, swishModel.output};
in HWTEST_F()
209 graphArgs.operands = {swishModel.input, swishModel.output, activation};
in HWTEST_F()
283 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
284 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
319 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
320 const OHNNOperandTest &operandTem = graphArgs.operands[ in HWTEST_F()
[all...] |
| H A D | quant_dtype_cast_test.cpp | 39 .operands = {input, output, axis, src, dst},
59 .operands = {input, output, axis, src, dst},
79 .operands = {input, output, axis, src, dst},
184 graphArgs.operands = {quantDTypeCastModel.input, quantDTypeCastModel.input, quantDTypeCastModel.output,
in HWTEST_F()
206 graphArgs.operands = {quantDTypeCastModel.input, quantDTypeCastModel.output, quantDTypeCastModel.output,
in HWTEST_F()
231 graphArgs.operands = {quantDTypeCastModel.input, quantDTypeCastModel.output, quantDTypeCastModel.dst,
in HWTEST_F()
307 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
308 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
344 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
345 const OHNNOperandTest &operandTem = graphArgs.operands[ in HWTEST_F()
[all...] |
| H A D | pow_test.cpp | 39 .operands = {input0, input1, output, scale, shift},
59 .operands = {input0, input1, output, scale, shift},
80 .operands = {input0, input1, output, scale, shift},
185 graphArgs.operands = {powModel.input0, powModel.input1, powModel.input1, powModel.output,
in HWTEST_F()
207 graphArgs.operands = {powModel.input0, powModel.input1, powModel.output, powModel.output,
in HWTEST_F()
232 graphArgs.operands = {powModel.input0, powModel.input1, powModel.output,
in HWTEST_F()
307 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
308 const OHNNOperandTest &operandTem = graphArgs.operands[i];
in HWTEST_F()
343 for (size_t i = 0; i < graphArgs.operands.size(); i++) {
in HWTEST_F()
344 const OHNNOperandTest &operandTem = graphArgs.operands[ in HWTEST_F()
[all...] |
| /test/xts/acts/ai/neural_network_runtime/v2_0/common/ |
| H A D | model.h | 38 .operands = {input0, input1, activation, output},
62 .operands = {dynamicInput, kernel, strides, padMode, activation, output},
83 .operands = {x, k, sorted, output1, output2},
98 .operands = {{addModel.input0, addModel.input1, addModel.activation, addModel.output},
|
| H A D | nnrt_utils.cpp | 34 for (int i = 0; i < graphArgs.operands[j].size(); i++) { in BuildMultiOpGraph()
35 const OHNNOperandTest &operandTem = graphArgs.operands[j][i]; in BuildMultiOpGraph()
83 for (int i = 0; i < graphArgs.operands.size(); i++) { in BuildSingleOpGraph()
84 const OHNNOperandTest &operandTem = graphArgs.operands[i]; in BuildSingleOpGraph()
223 for (auto i = 0; i < graphArgs.operands.size(); i++) { in ExecuteGraphMock()
224 const OHNNOperandTest &operandTem = graphArgs.operands[i]; in ExecuteGraphMock()
266 for (auto i = 0; i < graphArgs.operands.size(); i++) { in ExecutorWithMemory()
267 const OHNNOperandTest &operandTem = graphArgs.operands[i]; in ExecutorWithMemory()
|
| /test/xts/acts/ai/neural_network_runtime/v1_0/common/ |
| H A D | model.h | 38 .operands = {input0, input1, activation, output},
62 .operands = {dynamicInput, kernel, strides, padMode, activation, output},
83 .operands = {x, k, sorted, output1, output2},
98 .operands = {{addModel.input0, addModel.input1, addModel.activation, addModel.output},
|
| H A D | nnrt_utils.cpp | 34 for (int i = 0; i < graphArgs.operands[j].size(); i++) { in BuildMultiOpGraph()
35 const OHNNOperandTest &operandTem = graphArgs.operands[j][i]; in BuildMultiOpGraph()
83 for (int i = 0; i < graphArgs.operands.size(); i++) { in BuildSingleOpGraph()
84 const OHNNOperandTest &operandTem = graphArgs.operands[i]; in BuildSingleOpGraph()
223 for (auto i = 0; i < graphArgs.operands.size(); i++) { in ExecuteGraphMock()
224 const OHNNOperandTest &operandTem = graphArgs.operands[i]; in ExecuteGraphMock()
266 for (auto i = 0; i < graphArgs.operands.size(); i++) { in ExecutorWithMemory()
267 const OHNNOperandTest &operandTem = graphArgs.operands[i]; in ExecutorWithMemory()
|
| /test/xts/acts/ai/nncore/common/ |
| H A D | nncore_utils.h | 43 std::vector<OHNNOperandTest> operands; member
54 std::vector<std::vector<OHNNOperandTest>> operands; member
84 .operands = {input0, input1, activation, output},
103 .operands = {input0, input1, activation, output},
124 .operands = {x, k, sorted, output1, output2},
139 .operands = {{addModel.input0, addModel.input1, addModel.activation, addModel.output},
|