!13222 update example of micro

From: @yangjie159
Reviewed-by: @wangchengyuan,@HilbertDavid
Signed-off-by: @wangchengyuan

mindspore/lite/micro/example/indirect/input.bin

@@ -1 +0,0 @@
-€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€ƒ’’’þ/š&wÿ€€€€€€€€€€€€ž¤Þ*}}}}}a,}rCÀ€€€€€€€€€€€±n}}}}}}}}{ÝÒÒ¸§€€€€€€€€€€€€’[}}}}}F6wq€€€€€€€€€€€€€€€€€€Ðë}}M‹€«€€€€€€€€€€€€€€€€€€€Ž�}Ú€€€€€€€€€€€€€€€€€€€€€€€€€}>‚€€€€€€€€€€€€€€€€€€€€€€€€‹>}Æ€€€€€€€€€€€€€€€€€€€€€€€€€£qa ì�€€€€€€€€€€€€€€€€€€€€€€€Ñp}}÷™€€€€€€€€€€€€€€€€€€€€€€€­:}}›€€€€€€€€€€€€€€€€€€€€€€€�Ý|};€€€€€€€€€€€€€€€€€€€€€€€€€y}yÀ€€€€€€€€€€€€€€€€€€€€€®7}}O‚€€€€€€€€€€€€€€€€€€€§e}}}z6€€€€€€€€€€€€€€€€€€˜ò]}}}}I΀€€€€€€€€€€€€€€€€—ÂU}}}}FÑ‚€€€€€€€€€€€€€€€€’+[}}}}CЉ€€€€€€€€€€€€€€€€·,b}}}}t‹€€€€€€€€€€€€€€€€€€}}}T�€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€€

mindspore/lite/micro/example/micro_speech/Softmax-3.out

@@ -1,11 +0,0 @@
-Node:Softmax-3
-input Tensor: (int8_t *)(micro_speech_B+0)
-input 1, 4, 
-input type:DT_INT8, format:NHWC, elementSize: 4
-input Data:
--50, -5, 121, -4, 
-output Tensor: (int8_t *)(micro_speech_B+8)
-output 1, 4, 
-output type:DT_INT8, format:NHWC, elementSize: 4
-output Data:
--128, -128, 127, -128, 

mindspore/lite/micro/example/mnist/Softmax-6.out

@@ -1,11 +0,0 @@
-Node:Softmax-6
-input Tensor:mnist_B+80
-input 1, 10, 
-input type:DT_FLOAT, format:NHWC, elementSize: 10
-input Data:
- -10.730524063110352, -13.112776756286621, 32.735519409179688, 47.881549835205078, -16.125642776489258, 37.780338287353516, -19.876976013183594, -9.985114097595215, 23.401361465454102, 2.130389
-output Tensor:mnist_B+0
-output 1, 10, 
-output type:DT_FLOAT, format:NHWC, elementSize: 10
-output Data:
- 0.000000000000000, 0.000000000000000, 0.000000264328889, 0.999958753585815, 0.000000000000000, 0.000041028124542, 0.000000000000000, 0.000000000000000, 0.000000000023355, 0.000000

mindspore/lite/micro/example/mobilenetv1/Softmax-9.out

@@ -1,11 +0,0 @@
-Node:Softmax-9
-input Tensor:mobilenet_B+2304
-input 1, 10, 
-input type:DT_FLOAT, format:NHWC, elementSize: 10
-input Data:
- -29.386697769165039, -21.845693588256836, -2.055268287658691, -3.034832000732422, -35.736465454101562, -7.437396526336670, -28.077632904052734, -9.304884910583496, -3.867517471313477, -24.168812
-output Tensor:mobilenet_B+0
-output 1, 10, 
-output type:DT_FLOAT, format:NHWC, elementSize: 10
-output Data:
- 0.000000000000874, 0.000000001646118, 0.647639095783234, 0.243172198534012, 0.000000000000002, 0.002977861091495, 0.000000000003236, 0.000460113020381, 0.105750694870949, 0.000000

mindspore/lite/micro/example/mobilenetv1_quant/Softmax-30.out

@@ -1,55 +0,0 @@
-Node:Softmax-30
-input Tensor:mobilenetv1_quant_B+1008
-input 1, 1001, 
-input type:DT_INT8, format:NHWC, elementSize: 1001
-input Data:
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-output Tensor:mobilenetv1_quant_B+0
-output 1, 1001, 
-output type:DT_INT8, format:NHWC, elementSize: 1001
-output Data:
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mindspore/lite/micro/example/mobilenetv2_quant/Reshape-64.out

@@ -1,55 +0,0 @@
-Node:Reshape-64
-input Tensor: (int8_t *)(mobilenetv2_quant_B+1280)
-input 1, 1, 1, 1001, 
-input type:DT_INT8, format:NHWC, elementSize: 1001
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mindspore/lite/micro/example/person_detection/Conv2D-28.out

@@ -1,16 +0,0 @@
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mindspore/lite/micro/example/person_detection_int8/Conv2D-28.out

@@ -1,16 +0,0 @@
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