| /frameworks/rs/tests/java_api/RSUnitTests/src/com/android/rs/unittest/ |
| D | UT_copy_test.java | 36 float[] f1 = new float[1024 * 2]; in testFloat2() local
60 float[] f1 = new float[1024 * 4]; in testFloat3() local
84 float[] f1 = new float[1024 * 4]; in testFloat4() local
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| /frameworks/rs/tests/java_api/RSUnitTests/supportlibsrc_gen/com/android/rs/unittest/ |
| D | UT_copy_test.java | 38 float[] f1 = new float[1024 * 2]; in testFloat2() local
62 float[] f1 = new float[1024 * 4]; in testFloat3() local
86 float[] f1 = new float[1024 * 4]; in testFloat4() local
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| /frameworks/rs/tests/java_api/RSTest_CompatLibLegacy/src/com/android/rs/test/ |
| D | UT_copy_test.java | 37 float[] f1 = new float[1024 * 2]; in testFloat2() local
61 float[] f1 = new float[1024 * 4]; in testFloat3() local
85 float[] f1 = new float[1024 * 4]; in testFloat4() local
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| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | depthwise_conv2d_dilation.mod.py | 21 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0., .2, 0., .25, 0., 0., .3, .25, 0.,… variable
76 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0., .2, 0., .25, 0., 0., .3, .25, 0.,… variable
|
| D | conv2d_dilation.mod.py | 21 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [.25, .25, .25, .25]) variable
72 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [.25, .25, .25, .25]) variable
|
| /frameworks/base/core/tests/coretests/src/android/app/ |
| D | LoaderLifecycleTest.java | 57 final Fragment f1 = new Fragment(); in loaderIdentityTest() local
151 final Fragment f1 = new Fragment(); in backStackLoaderIdentityTest() local
|
| /frameworks/native/libs/ui/ |
| D | Fence.cpp | 72 sp<Fence> Fence::merge(const char* name, const sp<Fence>& f1, in merge()
98 sp<Fence> Fence::merge(const String8& name, const sp<Fence>& f1, in merge()
|
| /frameworks/ml/nn/tools/test_generator/tests/P_vts_implicit_variation/ |
| D | conv_float.mod.py | 17 f1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 2, 2, 2}", [1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, … variable
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| D | conv_float_large.mod.py | 19 f1 = Parameter("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}", [1., 4., 7., 2., 5., 8., 3., 6., 9.]) variable
|
| D | conv_quant8_overflow.mod.py | 19 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0", [10, 40, 70, 20, 50, 80, 30, 6… variable
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| D | conv_float_2.mod.py | 19 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 3, 3, 1}", [1, 4, 7, 2, 5, 8, 3, 6, 9]) variable
|
| D | conv_float_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | conv_quant8_large_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0") variable
|
| D | conv_float_channels.mod.py | 19 f1 = Parameter("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}", [1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 3.0, 3.0, 3.… variable
|
| D | conv_quant8_channels.mod.py | 19 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5f, 0", [1, 2, 3, 4, 5, 6, 7, 8, 9]) variable
|
| D | conv_quant8_overflow_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0") variable
|
| D | conv_float_channels_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}") variable
|
| D | conv_float_large_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}") variable
|
| D | conv_float.mod.py | 19 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [.25, .25, .25, .25]) variable
|
| D | conv_quant8_large.mod.py | 19 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0", [1, 4, 7, 2, 5, 8, 3, 6, 9]) variable
|
| D | conv_quant8_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 0") variable
|
| D | conv_quant8.mod.py | 20 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 0", variable
|
| D | conv_quant8_channels_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5f, 0") variable
|
| /frameworks/ml/nn/tools/test_generator/tests/P_implicit_variation/ |
| D | conv_float.mod.py | 17 f1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 2, 2, 2}", [1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, … variable
|
| /frameworks/ml/nn/tools/test_generator/tests/P_vts_backward_compatibility_quant8/ |
| D | depthwise_conv2d_quant8.mod.py | 17 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0") variable
|