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author | 박세희/On-Device Lab(SR)/Principal Engineer/삼성전자 <saehie.park@samsung.com> | 2019-09-06 17:55:56 +0900 |
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committer | GitHub Enterprise <noreply-CODE@samsung.com> | 2019-09-06 17:55:56 +0900 |
commit | b87b65a5b03868335385dfbf7fef290b88161c2e (patch) | |
tree | 283b6e7469ce5daf9a125c8577afdda716af0e20 /res/TensorFlowTests | |
parent | 198fa86d7ac4568bcd0534cc5aeb0bff9760d6a9 (diff) | |
download | nnfw-b87b65a5b03868335385dfbf7fef290b88161c2e.tar.gz nnfw-b87b65a5b03868335385dfbf7fef290b88161c2e.tar.bz2 nnfw-b87b65a5b03868335385dfbf7fef290b88161c2e.zip |
[res] Conv2DBackpropInput with 3x3 stride 2 (#7194)
This will add TensorFlow test material for Conv2DBackpropInput with 3x3 filter and stride 2
Signed-off-by: SaeHie Park <saehie.park@samsung.com>
Diffstat (limited to 'res/TensorFlowTests')
-rw-r--r-- | res/TensorFlowTests/UNIT_Conv2DBackpropInput_001/test.info | 2 | ||||
-rw-r--r-- | res/TensorFlowTests/UNIT_Conv2DBackpropInput_001/test.pbtxt | 136 |
2 files changed, 138 insertions, 0 deletions
diff --git a/res/TensorFlowTests/UNIT_Conv2DBackpropInput_001/test.info b/res/TensorFlowTests/UNIT_Conv2DBackpropInput_001/test.info new file mode 100644 index 000000000..2537d0732 --- /dev/null +++ b/res/TensorFlowTests/UNIT_Conv2DBackpropInput_001/test.info @@ -0,0 +1,2 @@ +input, ifm:0, TF_FLOAT, [1, 8, 6, 3] +output, ofm:0, TF_FLOAT, [1, 16, 12, 2] diff --git a/res/TensorFlowTests/UNIT_Conv2DBackpropInput_001/test.pbtxt b/res/TensorFlowTests/UNIT_Conv2DBackpropInput_001/test.pbtxt new file mode 100644 index 000000000..8930c4221 --- /dev/null +++ b/res/TensorFlowTests/UNIT_Conv2DBackpropInput_001/test.pbtxt @@ -0,0 +1,136 @@ +node { + name: "ifm" + op: "Placeholder" + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 1 + } + dim { + size: 8 + } + dim { + size: 6 + } + dim { + size: 3 + } + } + } + } +} +node { + name: "weights" + op: "Const" + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 3 + } + dim { + size: 3 + } + dim { + size: 2 + } + dim { + size: 3 + } + } + float_val: 1.0 + } + } + } +} +node { + name: "outshape" + op: "Const" + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 4 + } + } + int_val: 1 + int_val: 16 + int_val: 12 + int_val: 2 + } + } + } +} +node { + name: "ofm" + op: "Conv2DBackpropInput" + input: "outshape" + input: "weights" + input: "ifm" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 2 + i: 2 + i: 1 + } + } + } +} |