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author | Chunseok Lee <chunseok.lee@samsung.com> | 2020-03-05 15:10:09 +0900 |
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committer | Chunseok Lee <chunseok.lee@samsung.com> | 2020-03-05 15:22:53 +0900 |
commit | d91a039e0eda6fd70dcd22672b8ce1817c1ca50e (patch) | |
tree | 62668ec548cf31fadbbf4e99522999ad13434a25 /res/TensorFlowTests/UNIT_Mean_001/test.pbtxt | |
parent | bd11b24234d7d43dfe05a81c520aa01ffad06e42 (diff) | |
download | nnfw-d91a039e0eda6fd70dcd22672b8ce1817c1ca50e.tar.gz nnfw-d91a039e0eda6fd70dcd22672b8ce1817c1ca50e.tar.bz2 nnfw-d91a039e0eda6fd70dcd22672b8ce1817c1ca50e.zip |
catch up to tizen_5.5 and remove unness dir
- update to tizen_5.5
- remove dirs
Diffstat (limited to 'res/TensorFlowTests/UNIT_Mean_001/test.pbtxt')
-rw-r--r-- | res/TensorFlowTests/UNIT_Mean_001/test.pbtxt | 68 |
1 files changed, 68 insertions, 0 deletions
diff --git a/res/TensorFlowTests/UNIT_Mean_001/test.pbtxt b/res/TensorFlowTests/UNIT_Mean_001/test.pbtxt new file mode 100644 index 000000000..a579b2c9b --- /dev/null +++ b/res/TensorFlowTests/UNIT_Mean_001/test.pbtxt @@ -0,0 +1,68 @@ +# Reference Python code: +# +# import tensorflow as tf +# +# inp = tf.placeholder(tf.float32, [1,3,3,2]) +# mean = tf.math.reduce_mean(inp, keepdims=False, axis=[1,2]) +# +# print(tf.get_default_graph().as_graph_def()) +# +# WARNING! Below GraphDef is modified to make it easy to read +node { + name: "Placeholder" + op: "Placeholder" + attr { + key: "dtype" + value { type: DT_FLOAT } + } + attr { + key: "shape" + value { + shape { + dim { size: 1 } + dim { size: 3 } + dim { size: 3 } + dim { size: 2 } + } + } + } +} +node { + name: "Mean/reduction_indices" + op: "Const" + attr { + key: "dtype" + value { type: DT_INT32 } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { size: 2 } + } + int_val: 1 + int_val: 2 + } + } + } +} +node { + name: "Mean" + op: "Mean" + input: "Placeholder" + input: "Mean/reduction_indices" + attr { + key: "T" + value { type: DT_FLOAT } + } + attr { + key: "Tidx" + value { type: DT_INT32 } + } + attr { + key: "keep_dims" + value { b: false } + } +} |