| /external/tensorflow/tensorflow/lite/micro/examples/hello_world/train/ |
| D | train_hello_world_model.ipynb | 404 "model_1.compile(optimizer='adam', loss='mse', metrics=['mae'])"
446 …"10/10 [==============================] - 1s 47ms/step - loss: 0.7289 - mae: 0.7120 - val_loss: 0.…
448 …"10/10 [==============================] - 0s 6ms/step - loss: 0.6329 - mae: 0.6488 - val_loss: 0.5…
450 …"10/10 [==============================] - 0s 6ms/step - loss: 0.5201 - mae: 0.5735 - val_loss: 0.5…
452 …"10/10 [==============================] - 0s 6ms/step - loss: 0.5057 - mae: 0.5760 - val_loss: 0.4…
454 …"10/10 [==============================] - 0s 5ms/step - loss: 0.4502 - mae: 0.5459 - val_loss: 0.4…
456 …"10/10 [==============================] - 0s 6ms/step - loss: 0.4168 - mae: 0.5332 - val_loss: 0.4…
458 …"10/10 [==============================] - 0s 6ms/step - loss: 0.4211 - mae: 0.5341 - val_loss: 0.4…
460 …"10/10 [==============================] - 0s 6ms/step - loss: 0.3988 - mae: 0.5287 - val_loss: 0.4…
462 …"10/10 [==============================] - 0s 5ms/step - loss: 0.3901 - mae: 0.5230 - val_loss: 0.4…
[all …]
|
| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | metrics_serialization_test.py | 68 dict(testcase_name='built_in_fn', value=[metrics.mae]),
74 value=[metrics.mae, [metrics.mae]]),
98 'output': [metrics.mae],
99 'output_1': [metrics.mae],
128 'output': metrics.mae,
129 'output_1': metrics.mae,
|
| D | losses_serialization_test.py | 71 dict(testcase_name='built_in_fn', value=losses.mae),
76 dict(testcase_name='list_of_built_in_fns', value=[losses.mae, losses.mae]),
95 'output': losses.mae,
96 'output_1': losses.mae,
|
| /external/tensorflow/tensorflow/python/keras/tests/ |
| D | add_loss_correctness_test.py | 41 mae = losses.mean_absolute_error variable
80 model.add_loss(math_ops.reduce_mean(mae(targets, outputs)))
113 model.add_loss(math_ops.reduce_mean(mae(targets, outputs)))
154 model.add_loss(3 * math_ops.reduce_mean(sw * mae(targets, outputs)))
171 model.add_loss(math_ops.reduce_mean(sw * mae(targets, outputs)))
194 self.add_loss(math_ops.reduce_mean(inputs[2] * mae(inputs[1], outputs)))
222 self.add_loss(math_ops.reduce_mean(inputs[2] * mae(inputs[1], out)))
|
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.losses.pbtxt | 144 name: "mae"
|
| D | tensorflow.keras.losses.pbtxt | 144 name: "mae"
|
| D | tensorflow.keras.metrics.pbtxt | 224 name: "mae"
|
| D | tensorflow.metrics.pbtxt | 224 name: "mae"
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.losses.pbtxt | 144 name: "mae"
|
| D | tensorflow.keras.metrics.pbtxt | 232 name: "mae"
|
| /external/cldr/common/testData/transforms/ |
| D | my-Latn-t-my.txt | 482 မဲ့ mae
|
| D | cy-fonipa-t-cy.txt | 7 mae ˈmɑːɨ
122 mae'r ˈmɑːɨr
|
| D | es-419-fonipa-t-es-fonipa.txt | 1890 maeʎa maeʝa
1891 maeʎo maeʝo
|
| D | ja-t-es-fonipa.txt | 1890 maeʎa マエリャ
1891 maeʎo マエリョ
|
| D | zh-t-es-fonipa.txt | 1890 maeʎa 马埃利亚
1891 maeʎo 马埃略
|
| D | es-fonipa-t-es.txt | 1890 maella maeʎa
1891 maello maeʎo
|
| /external/llvm-project/llvm/lib/Target/SystemZ/ |
| D | SystemZInstrHFP.td | 194 def MAE : TernaryRXF<"mae", 0xED2E, null_frag, FP32, FP32, load, 4>;
|
| /external/swiftshader/third_party/llvm-10.0/llvm/lib/Target/SystemZ/ |
| D | SystemZInstrHFP.td | 194 def MAE : TernaryRXF<"mae", 0xED2E, null_frag, FP32, FP32, load, 4>;
|
| /external/tensorflow/tensorflow/python/keras/ |
| D | losses.py | 1951 mae = MAE = mean_absolute_error variable
|
| D | metrics.py | 3475 mae = MAE = mean_absolute_error variable
|
| /external/llvm-project/llvm/test/MC/SystemZ/ |
| D | insn-good.s | 11230 #CHECK: mae %f0, %f0, 0 # encoding: [0xed,0x00,0x00,0x00,0x00,0x2e]
11231 #CHECK: mae %f0, %f0, 4095 # encoding: [0xed,0x00,0x0f,0xff,0x00,0x2e]
11232 #CHECK: mae %f0, %f0, 0(%r1) # encoding: [0xed,0x00,0x10,0x00,0x00,0x2e]
11233 #CHECK: mae %f0, %f0, 0(%r15) # encoding: [0xed,0x00,0xf0,0x00,0x00,0x2e]
11234 #CHECK: mae %f0, %f0, 4095(%r1,%r15) # encoding: [0xed,0x01,0xff,0xff,0x00,0x2e]
11235 #CHECK: mae %f0, %f0, 4095(%r15,%r1) # encoding: [0xed,0x0f,0x1f,0xff,0x00,0x2e]
11236 #CHECK: mae %f0, %f15, 0 # encoding: [0xed,0xf0,0x00,0x00,0x00,0x2e]
11237 #CHECK: mae %f15, %f0, 0 # encoding: [0xed,0x00,0x00,0x00,0xf0,0x2e]
11238 #CHECK: mae %f15, %f15, 0 # encoding: [0xed,0xf0,0x00,0x00,0xf0,0x2e]
11240 mae %f0, %f0, 0
[all …]
|
| D | insn-bad.s | 4114 #CHECK: mae %f0, %f0, -1
4116 #CHECK: mae %f0, %f0, 4096
4118 mae %f0, %f0, -1
4119 mae %f0, %f0, 4096
|
| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_test.py | 3328 self.mae = metrics_module.MeanAbsoluteError(name='mae_1')
3333 self.add_metric(self.mae(targets, outputs), name='mae_1')
|
| /external/capstone/arch/SystemZ/ |
| D | SystemZGenInsnNameMaps.inc | 1416 { SYSZ_INS_MAE, "mae" },
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | metrics_test.py | 3292 mae, ma_update_op = metrics.mean_absolute_error(labels, predictions)
3299 self.assertAlmostEqual(32.0 / 6, self.evaluate(mae), 5)
|