From bfd94a28157af56044ca77c930bebf8814cfeceb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=EB=B0=95=EC=B2=9C=EA=B5=90/On-Device=20Lab=28SR=29/Engine?= =?UTF-8?q?er/=EC=82=BC=EC=84=B1=EC=A0=84=EC=9E=90?= Date: Mon, 19 Aug 2019 08:30:08 +0900 Subject: [res] Remove obsolete TF_SMALL_NET_XXXX tests (#6650) This commit removes obsolete TF_SMALL_NET_XXXX test cases. Note that they are copied to NET_XXXX Signed-off-by: Cheongyo Bahk --- res/TensorFlowTests/TF_SMALL_NET_0000/test.info | 3 - res/TensorFlowTests/TF_SMALL_NET_0000/test.pbtxt | 102 ---------- res/TensorFlowTests/TF_SMALL_NET_0001/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0001/test.pbtxt | 160 --------------- res/TensorFlowTests/TF_SMALL_NET_0002/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0002/test.pbtxt | 135 ------------- res/TensorFlowTests/TF_SMALL_NET_0003/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0003/test.pbtxt | 244 ----------------------- res/TensorFlowTests/TF_SMALL_NET_0003/test.py | 15 -- res/TensorFlowTests/TF_SMALL_NET_0004/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0004/test.pbtxt | 218 -------------------- res/TensorFlowTests/TF_SMALL_NET_0004/test.py | 16 -- res/TensorFlowTests/TF_SMALL_NET_0005/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0005/test.pbtxt | 120 ----------- res/TensorFlowTests/TF_SMALL_NET_0006/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0006/test.pbtxt | 149 -------------- res/TensorFlowTests/TF_SMALL_NET_0007/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0007/test.pbtxt | 151 -------------- res/TensorFlowTests/TF_SMALL_NET_0008/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0008/test.pbtxt | 151 -------------- res/TensorFlowTests/TF_SMALL_NET_0009/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0009/test.pbtxt | 194 ------------------ res/TensorFlowTests/TF_SMALL_NET_0010/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0010/test.pbtxt | 109 ---------- res/TensorFlowTests/TF_SMALL_NET_0011/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0011/test.pbtxt | 129 ------------ res/TensorFlowTests/TF_SMALL_NET_0012/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0012/test.pbtxt | 52 ----- res/TensorFlowTests/TF_SMALL_NET_0013/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0013/test.pbtxt | 72 ------- res/TensorFlowTests/TF_SMALL_NET_0014/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0014/test.pbtxt | 106 ---------- res/TensorFlowTests/TF_SMALL_NET_0015/test.info | 2 - res/TensorFlowTests/TF_SMALL_NET_0015/test.pbtxt | 74 ------- 34 files changed, 2230 deletions(-) delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0000/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0000/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0001/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0001/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0002/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0002/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0003/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0003/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0003/test.py delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0004/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0004/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0004/test.py delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0005/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0005/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0006/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0006/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0007/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0007/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0008/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0008/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0009/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0009/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0010/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0010/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0011/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0011/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0012/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0012/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0013/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0013/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0014/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0014/test.pbtxt delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0015/test.info delete mode 100644 res/TensorFlowTests/TF_SMALL_NET_0015/test.pbtxt diff --git a/res/TensorFlowTests/TF_SMALL_NET_0000/test.info b/res/TensorFlowTests/TF_SMALL_NET_0000/test.info deleted file mode 100644 index bdde9126b..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0000/test.info +++ /dev/null @@ -1,3 +0,0 @@ -# conv2d with VALID, stride = 1, 1 -input, ifm:0, TF_FLOAT, [1, 5, 5, 3] -output, maxpool:0, TF_FLOAT, [1, 4, 4, 2] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0000/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0000/test.pbtxt deleted file mode 100644 index 5aafa31db..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0000/test.pbtxt +++ /dev/null @@ -1,102 +0,0 @@ -# Small Conv2D-MaxPool network -node { - name: "ifm" - op: "Placeholder" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "shape" - value { - shape { - dim { size: 1 } - dim { size: 5 } - dim { size: 5 } - dim { size: 3 } - } - } - } -} -node { - name: "ker" - op: "Const" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { size: 2 } - dim { size: 2 } - dim { size: 3 } - dim { size: 2 } - } - float_val: 1.1 - } - } - } -} -node { - name: "ofm" - op: "Conv2D" - input: "ifm" - input: "ker" - 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: "VALID" } - } - attr { - key: "strides" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } -} -node { - name: "maxpool" - op: "MaxPool" - input: "ofm" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "data_format" - value { s: "NHWC" } - } - attr { - key: "ksize" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } - attr { - key: "padding" - value { s: "VALID" } - } - attr { - key: "strides" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0001/test.info b/res/TensorFlowTests/TF_SMALL_NET_0001/test.info deleted file mode 100644 index 0e8caae1c..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0001/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, in:0, TF_FLOAT, [1, 5, 5, 3] -output, out:0, TF_FLOAT, [1, 4, 4, 5] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0001/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0001/test.pbtxt deleted file mode 100644 index fc84d61a6..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0001/test.pbtxt +++ /dev/null @@ -1,160 +0,0 @@ -# Small Conv2D-BiasAdd-Conv2D network -node { - name: "in" - op: "Placeholder" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "shape" - value { - shape { - dim { size: 1 } # N - dim { size: 5 } # H - dim { size: 5 } # W - dim { size: 3 } # C - } - } - } -} -node { - name: "ker" - op: "Const" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { size: 2 } # H - dim { size: 2 } # W - dim { size: 3 } # I - dim { size: 2 } # O - } - float_val: 1.1 - } - } - } -} -node { - name: "conv" - op: "Conv2D" - input: "in" - input: "ker" - 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: "VALID" } - } - attr { - key: "strides" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } -} -node { - name: "bias" - op: "Const" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { size: 2 } - } - float_val: 1.1 - } - } - } -} -node { - name: "badd" - op: "BiasAdd" - input: "conv" - input: "bias" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "data_format" - value { s: "NHWC" } - } -} -node { - name: "ker1" - op: "Const" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { size: 1 } # H - dim { size: 1 } # W - dim { size: 2 } # I - dim { size: 5 } # O - } - float_val: 1.1 - } - } - } -} -node { - name: "out" - op: "Conv2D" - input: "badd" - input: "ker1" - 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: "VALID" } - } - attr { - key: "strides" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0002/test.info b/res/TensorFlowTests/TF_SMALL_NET_0002/test.info deleted file mode 100644 index 0e8caae1c..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0002/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, in:0, TF_FLOAT, [1, 5, 5, 3] -output, out:0, TF_FLOAT, [1, 4, 4, 5] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0002/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0002/test.pbtxt deleted file mode 100644 index 692651aa4..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0002/test.pbtxt +++ /dev/null @@ -1,135 +0,0 @@ -# Small Conv2D-ReLU-Conv2D network -node { - name: "in" - op: "Placeholder" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "shape" - value { - shape { - dim { size: 1 } # N - dim { size: 5 } # H - dim { size: 5 } # W - dim { size: 3 } # C - } - } - } -} -node { - name: "ker" - op: "Const" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { size: 2 } # H - dim { size: 2 } # W - dim { size: 3 } # I - dim { size: 2 } # O - } - float_val: 1.1 - } - } - } -} -node { - name: "conv" - op: "Conv2D" - input: "in" - input: "ker" - 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: "VALID" } - } - attr { - key: "strides" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } -} -node { - name: "relu" - op: "Relu" - input: "conv" - attr { - key: "T" - value { type: DT_FLOAT } - } -} -node { - name: "ker1" - op: "Const" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { size: 1 } # H - dim { size: 1 } # W - dim { size: 2 } # I - dim { size: 5 } # O - } - float_val: 1.1 - } - } - } -} -node { - name: "out" - op: "Conv2D" - input: "relu" - input: "ker1" - 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: "VALID" } - } - attr { - key: "strides" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0003/test.info b/res/TensorFlowTests/TF_SMALL_NET_0003/test.info deleted file mode 100644 index ee7d13cd1..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0003/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, Placeholder:0, TF_FLOAT, [1, 3, 3, 5] -output, FusedBatchNorm:0, TF_FLOAT, [1, 3, 3, 1] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0003/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0003/test.pbtxt deleted file mode 100644 index cf6b1a7db..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0003/test.pbtxt +++ /dev/null @@ -1,244 +0,0 @@ -# Small Conv2D + FusedBatchNorm network -node { - name: "Placeholder" - op: "Placeholder" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "shape" - value { - shape { - dim { - size: 1 # N - } - dim { - size: 3 # H - } - dim { - size: 3 # W - } - dim { - size: 5 # C - } - } - } - } -} -node { - name: "Const" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 # H - } - dim { - size: 2 # W - } - dim { - size: 5 # I - } - dim { - size: 1 # O - } - } - float_val: 1.0 - } - } - } -} -node { - name: "Conv2D" - op: "Conv2D" - input: "Placeholder" - input: "Const" - 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: 1 - i: 1 - i: 1 - } - } - } - attr { - key: "use_cudnn_on_gpu" - value { - b: true - } - } -} -node { - name: "scale" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 1 - } - } - float_val: 1.0 - } - } - } -} -node { - name: "offset" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 1 - } - } - float_val: 0.0 - } - } - } -} -node { - name: "FusedBatchNorm/mean" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 1 - } - } - float_val: 0.0 - } - } - } -} -node { - name: "FusedBatchNorm/variance" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 1 - } - } - float_val: 1.0 - } - } - } -} -node { - name: "FusedBatchNorm" - op: "FusedBatchNorm" - input: "Conv2D" - input: "scale" - input: "offset" - input: "FusedBatchNorm/mean" - input: "FusedBatchNorm/variance" - attr { - key: "T" - value { - type: DT_FLOAT - } - } - attr { - key: "data_format" - value { - s: "NHWC" - } - } - attr { - key: "epsilon" - value { - f: 0.0010000000474974513 - } - } - attr { - key: "is_training" - value { - b: false - } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0003/test.py b/res/TensorFlowTests/TF_SMALL_NET_0003/test.py deleted file mode 100644 index b5bad2dae..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0003/test.py +++ /dev/null @@ -1,15 +0,0 @@ -# TF_SMALL_NET_0003/test.pbtxt is create with below script - -# Version info -# - Tensorflow : 1.13.1 -# - Python : 3.5.2 - -import tensorflow as tf - -input0 = tf.placeholder(tf.float32, [1, 3, 3, 5]) -filter0 = tf.constant(1.0, shape=[2, 2, 5, 1]) -conv = tf.nn.conv2d(input0, filter=filter0, strides=[1, 1, 1, 1], padding='SAME') -fbn = tf.nn.fused_batch_norm( - conv, scale=[1.0], offset=[0.0], mean=[0.0], variance=[1.0], is_training=False) - -print(tf.get_default_graph().as_graph_def()) diff --git a/res/TensorFlowTests/TF_SMALL_NET_0004/test.info b/res/TensorFlowTests/TF_SMALL_NET_0004/test.info deleted file mode 100644 index 75a892250..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0004/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, Placeholder:0, TF_FLOAT, [1, 3, 3, 5] -output, FusedBatchNorm:0, TF_FLOAT, [1, 3, 3, 10] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0004/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0004/test.pbtxt deleted file mode 100644 index 18cdd65ff..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0004/test.pbtxt +++ /dev/null @@ -1,218 +0,0 @@ -# Small DepthwiseConv2D + FusedBatchNorm network -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: 5 - } - } - } - } -} -node { - name: "Const" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 - } - dim { - size: 2 - } - dim { - size: 5 - } - dim { - size: 2 - } - } - float_val: 1 - } - } - } -} -node { - name: "depthwise/Shape" - op: "Const" - attr { - key: "dtype" - value { - type: DT_INT32 - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_INT32 - tensor_shape { - dim { - size: 4 - } - } - int_val: 2 - int_val: 2 - int_val: 5 - int_val: 2 - } - } - } -} -node { - name: "depthwise/dilation_rate" - 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: 1 - } - } - } -} -node { - name: "depthwise" - op: "DepthwiseConv2dNative" - input: "Placeholder" - input: "Const" - 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: 1 - i: 1 - i: 1 - } - } - } -} -node { - name: "Const_1" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 10 - } - } - float_val: 2 - } - } - } -} -node { - name: "FusedBatchNorm" - op: "FusedBatchNorm" - input: "depthwise" - input: "Const_1" - input: "Const_1" - input: "Const_1" - input: "Const_1" - attr { - key: "T" - value { - type: DT_FLOAT - } - } - attr { - key: "data_format" - value { - s: "NHWC" - } - } - attr { - key: "epsilon" - value { - f: 0.001 - } - } - attr { - key: "is_training" - value { - b: false - } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0004/test.py b/res/TensorFlowTests/TF_SMALL_NET_0004/test.py deleted file mode 100644 index a0c790d79..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0004/test.py +++ /dev/null @@ -1,16 +0,0 @@ -# TF_SMALL_NET_0004/test.pbtxt is create with below script - -# Version info -# - Tensorflow : 1.13.1 -# - Python : 3.5.2 - -import tensorflow as tf - -input0 = tf.placeholder(tf.float32, [1, 3, 3, 5]) -filter0 = tf.constant(1.0, shape=[2, 2, 5, 2]) -dconv = tf.nn.depthwise_conv2d(input0, filter0, [1, 1, 1, 1], 'SAME') -const = tf.constant(2.0, shape=[10]) -fbn = tf.nn.fused_batch_norm( - x=dconv, scale=const, offset=const, mean=const, variance=const, is_training=False) - -print(tf.get_default_graph().as_graph_def()) diff --git a/res/TensorFlowTests/TF_SMALL_NET_0005/test.info b/res/TensorFlowTests/TF_SMALL_NET_0005/test.info deleted file mode 100644 index 379959c05..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0005/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, Placeholder:0, TF_FLOAT, [1, 2, 3, 2] -output, Reshape2:0, TF_FLOAT, [1, 2, 3, 2] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0005/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0005/test.pbtxt deleted file mode 100644 index 16cc44005..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0005/test.pbtxt +++ /dev/null @@ -1,120 +0,0 @@ -# Small Shape + Reshape network -# This test is quite similar with the last part of InceptionV3 -node { - name: "Placeholder" - op: "Placeholder" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "shape" - value { - shape { - dim { - size: 1 - } - dim { - size: 2 - } - dim { - size: 3 - } - dim { - size: 2 - } - } - } - } -} -node { - name: "Shape" - op: "Shape" - input: "Placeholder" - attr { - key: "T" - value { - type: DT_FLOAT - } - } - attr { - key: "out_type" - value { - type: DT_INT32 - } - } -} -node { - name: "Const" - op: "Const" - attr { - key: "dtype" - value { - type: DT_INT32 - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_INT32 - tensor_shape { - dim { - size: 2 - } - } - int_val: 3 - int_val: 4 - } - } - } -} -node { - name: "Reshape1" - op: "Reshape" - input: "Placeholder" - input: "Const" - attr { - key: "T" - value { - type: DT_FLOAT - } - } - attr { - key: "Tshape" - value { - type: DT_INT32 - } - } -} -node { - name: "Relu" - op: "Relu" - input: "Reshape1" - attr { - key: "T" - value { - type: DT_FLOAT - } - } -} -node { - name: "Reshape2" - op: "Reshape" - input: "Relu" - input: "Shape" - attr { - key: "T" - value { - type: DT_FLOAT - } - } - attr { - key: "Tshape" - value { - type: DT_INT32 - } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0006/test.info b/res/TensorFlowTests/TF_SMALL_NET_0006/test.info deleted file mode 100644 index f0b1e20ea..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0006/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, placeholder:0, TF_FLOAT, [1, 7, 7, 1] -output, maxpool:0, TF_FLOAT, [1, 7, 7, 2] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0006/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0006/test.pbtxt deleted file mode 100644 index e92b60629..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0006/test.pbtxt +++ /dev/null @@ -1,149 +0,0 @@ -# A simple network that has "Concat" in between feature operations. -# -# Placeholder -+-> MaxPool2D -+-> Concat -> MaxPool2D -# | | -# +-> MaxPool2D -+ -# -node { - name: "placeholder" - op: "Placeholder" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "shape" - value { - shape { - dim { size: 1 } # N - dim { size: 7 } # H - dim { size: 7 } # W - dim { size: 1 } # C - } - } - } -} -node { - name: "maxpool_1" - op: "MaxPool" - input: "placeholder" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "data_format" - value { s: "NHWC" } - } - attr { - key: "ksize" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } - attr { - key: "padding" - value { s: "VALID" } - } - attr { - key: "strides" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } -} -node { - name: "maxpool_2" - op: "MaxPool" - input: "placeholder" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "data_format" - value { s: "NHWC" } - } - attr { - key: "ksize" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } - attr { - key: "padding" - value { s: "VALID" } - } - attr { - key: "strides" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } -} -node { - name: "axis" - op: "Const" - attr { - key: "dtype" - value { type: DT_INT32 } - } - attr { - key: "value" - value { - tensor { - dtype: DT_INT32 - tensor_shape { } - int_val: 3 - } - } - } -} -node { - name: "concat" - op: "ConcatV2" - input: "maxpool_1" - input: "maxpool_2" - input: "axis" - attr { - key: "N" - value { i: 2 } - } - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "Tidx" - value { type: DT_INT32 } - } -} -node { - name: "maxpool" - op: "MaxPool" - input: "concat" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "data_format" - value { s: "NHWC" } - } - attr { - key: "ksize" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } - attr { - key: "padding" - value { s: "VALID" } - } - attr { - key: "strides" - value { - list { i: 1 i: 1 i: 1 i: 1 } - } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0007/test.info b/res/TensorFlowTests/TF_SMALL_NET_0007/test.info deleted file mode 100644 index 59c3f6122..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0007/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, Placeholder:0, TF_FLOAT, [1, 3, 3, 5] -output, Mul:0, TF_FLOAT, [1, 3, 3, 2] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0007/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0007/test.pbtxt deleted file mode 100644 index 10f9f35a5..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0007/test.pbtxt +++ /dev/null @@ -1,151 +0,0 @@ -# A simple network that has "Conv2D" + "Mul" -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: 5 - } - } - } - } -} -node { - name: "weights" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 - } - dim { - size: 2 - } - dim { - size: 5 - } - dim { - size: 2 - } - } - float_val: 1.100000023841858 - } - } - } -} -node { - name: "Conv2D" - op: "Conv2D" - input: "Placeholder" - input: "weights" - 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: 1 - i: 1 - i: 1 - } - } - } - attr { - key: "use_cudnn_on_gpu" - value { - b: true - } - } -} -node { - name: "mulparam" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 - } - } - float_val: 2.0 - } - } - } -} -node { - name: "Mul" - op: "Mul" - input: "Conv2D" - input: "mulparam" - attr { - key: "T" - value { - type: DT_FLOAT - } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0008/test.info b/res/TensorFlowTests/TF_SMALL_NET_0008/test.info deleted file mode 100644 index ccdd6fd44..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0008/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, Placeholder:0, TF_FLOAT, [1, 3, 3, 5] -output, Add:0, TF_FLOAT, [1, 3, 3, 2] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0008/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0008/test.pbtxt deleted file mode 100644 index bbaba7ded..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0008/test.pbtxt +++ /dev/null @@ -1,151 +0,0 @@ -# A simple network that has "Conv2D" + "Add" -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: 5 - } - } - } - } -} -node { - name: "weights" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 - } - dim { - size: 2 - } - dim { - size: 5 - } - dim { - size: 2 - } - } - float_val: 1.100000023841858 - } - } - } -} -node { - name: "Conv2D" - op: "Conv2D" - input: "Placeholder" - input: "weights" - 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: 1 - i: 1 - i: 1 - } - } - } - attr { - key: "use_cudnn_on_gpu" - value { - b: true - } - } -} -node { - name: "addparam" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 - } - } - float_val: 2.0 - } - } - } -} -node { - name: "Add" - op: "Add" - input: "Conv2D" - input: "addparam" - attr { - key: "T" - value { - type: DT_FLOAT - } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0009/test.info b/res/TensorFlowTests/TF_SMALL_NET_0009/test.info deleted file mode 100644 index ccdd6fd44..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0009/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, Placeholder:0, TF_FLOAT, [1, 3, 3, 5] -output, Add:0, TF_FLOAT, [1, 3, 3, 2] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0009/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0009/test.pbtxt deleted file mode 100644 index a4eee69ae..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0009/test.pbtxt +++ /dev/null @@ -1,194 +0,0 @@ -# A simple network that has "Conv2D" + "BiasAdd" + "Add" -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: 5 - } - } - } - } -} -node { - name: "weights" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 - } - dim { - size: 2 - } - dim { - size: 5 - } - dim { - size: 2 - } - } - float_val: 1.100000023841858 - } - } - } -} -node { - name: "Conv2D" - op: "Conv2D" - input: "Placeholder" - input: "weights" - 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: 1 - i: 1 - i: 1 - } - } - } - attr { - key: "use_cudnn_on_gpu" - value { - b: true - } - } -} -node { - name: "BiasAdd/bias" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 - } - } - float_val: 1.0 - float_val: 1.0 - } - } - } -} -node { - name: "BiasAdd" - op: "BiasAdd" - input: "Conv2D" - input: "BiasAdd/bias" - attr { - key: "T" - value { - type: DT_FLOAT - } - } - attr { - key: "data_format" - value { - s: "NHWC" - } - } -} -node { - name: "addparam" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 - } - } - float_val: 2.0 - } - } - } -} -node { - name: "Add" - op: "Add" - input: "BiasAdd" - input: "addparam" - attr { - key: "T" - value { - type: DT_FLOAT - } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0010/test.info b/res/TensorFlowTests/TF_SMALL_NET_0010/test.info deleted file mode 100644 index bcbc41892..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0010/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, Placeholder:0, TF_FLOAT, [1, 3, 3, 2] -output, Add:0, TF_FLOAT, [1, 3, 3, 2] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0010/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0010/test.pbtxt deleted file mode 100644 index b9c6c9987..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0010/test.pbtxt +++ /dev/null @@ -1,109 +0,0 @@ -# A simple network that has "BiasAdd" + "Add" -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: "bias_add_01/bias" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 - } - } - float_val: 1.0 - float_val: -1.0 - } - } - } -} -node { - name: "bias_add_01" - op: "BiasAdd" - input: "Placeholder" - input: "bias_add_01/bias" - attr { - key: "T" - value { - type: DT_FLOAT - } - } - attr { - key: "data_format" - value { - s: "NHWC" - } - } -} -node { - name: "addparam" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 - } - } - float_val: 2.0 - } - } - } -} -node { - name: "Add" - op: "Add" - input: "bias_add_01" - input: "addparam" - attr { - key: "T" - value { - type: DT_FLOAT - } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0011/test.info b/res/TensorFlowTests/TF_SMALL_NET_0011/test.info deleted file mode 100644 index 7fb5ec2c0..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0011/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, placeholder:0, TF_FLOAT, [2] -output, concat_out:0, TF_FLOAT, [6] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0011/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0011/test.pbtxt deleted file mode 100644 index a44aba783..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0011/test.pbtxt +++ /dev/null @@ -1,129 +0,0 @@ -# A simple network that includes constant foldable subgraph -# (note: [] indicates shape, () indicates real value) -# -# input1 (const) -- relu -+ placeholder --+ -# (-1, 1) (0, 1) | shape [2] | -# | | -# input2 (const) -+-- concat -------- concat_out -# (2, 3) | (0, 1, 2, 3) | -# | | -# axis (const)-+-------------------+ -# -# will be the following after constant folding: -# -# Pull --+ -# shape [2] | -# | -# ConstGen------- TensorConcat -- Push -# (0, 1, 2, 3) shape [6] -# -node { - name: "input1" - op: "Const" - attr { - key: "dtype" value { type: DT_FLOAT } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { dim { size: 2 } } - float_val: -1 - float_val: 1 - } - } - } -} -node { - name: "relu" - op: "Relu" - input: "input1" - attr { key: "T" value { type: DT_FLOAT } } -} -node { - name: "input2" - op: "Const" - attr { - key: "dtype" value { type: DT_FLOAT } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { dim { size: 2 } } - float_val: 2 - float_val: 3 - } - } - } -} -node { - name: "axis" - op: "Const" - attr { key: "dtype" value { type: DT_INT32 } } - attr { - key: "value" - value { - tensor { - dtype: DT_INT32 - tensor_shape { } - int_val: 0 - } - } - } -} -node { - name: "concat" - op: "ConcatV2" - input: "relu" - input: "input2" - input: "axis" - attr { - key: "N" - value { i: 2 } - } - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "Tidx" - value { type: DT_INT32 } - } -} -node { - name: "placeholder" - op: "Placeholder" - attr { - key: "dtype" value { type: DT_FLOAT } - } - attr { - key: "shape" - value { - shape { - dim { size: 2 } - } - } - } -} -node { - name: "concat_out" - op: "ConcatV2" - input: "concat" - input: "placeholder" - input: "axis" - attr { - key: "N" - value { i: 2 } - } - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "Tidx" - value { type: DT_INT32 } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0012/test.info b/res/TensorFlowTests/TF_SMALL_NET_0012/test.info deleted file mode 100644 index b210407fb..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0012/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, placeholder:0, TF_FLOAT, [6] -output, reshape:0, TF_FLOAT, [3, 2] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0012/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0012/test.pbtxt deleted file mode 100644 index 387dc92f6..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0012/test.pbtxt +++ /dev/null @@ -1,52 +0,0 @@ -# Network with dynamic reshape which has resolvable wildcard dimension -node { - name: "placeholder" - op: "Placeholder" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "shape" - value { - shape { - dim { size: 6 } - } - } - } -} -node { - name: "shape" - 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: "reshape" - op: "Reshape" - input: "placeholder" - input: "shape" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "Tshape" - value { type: DT_INT32 } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0013/test.info b/res/TensorFlowTests/TF_SMALL_NET_0013/test.info deleted file mode 100644 index 137cdfa8c..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0013/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, Placeholder:0, TF_FLOAT, [6] -output, Reshape:0, TF_FLOAT, [2, 3] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0013/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0013/test.pbtxt deleted file mode 100644 index a9c6aff98..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0013/test.pbtxt +++ /dev/null @@ -1,72 +0,0 @@ -# Network containing Shape node, which becomes Reshape's 'shape' input -# Note that this is a work-around to test Shape -# -# (tensor) -# Placeholder ---------- Reshape -# / -# Const --- Shape --- -# (shape) -node { - name: "Placeholder" - op: "Placeholder" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "shape" - value { - shape { - dim { size: 6 } - } - } - } -} -node { - name: "Const" - op: "Const" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { size: 2 } - dim { size: 3 } - } - float_val: 1.0 - } - } - } -} -node { - name: "Shape" - op: "Shape" - input: "Const" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "out_type" - value { type: DT_INT32 } - } -} -node { - name: "Reshape" - op: "Reshape" - input: "Placeholder" - input: "Shape" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "Tshape" - value { type: DT_INT32 } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0014/test.info b/res/TensorFlowTests/TF_SMALL_NET_0014/test.info deleted file mode 100644 index d3ea85a10..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0014/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, placeholder:0, TF_FLOAT, [2, 1, 1, 3] -output, reshape_2:0, TF_FLOAT, [2, 3] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0014/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0014/test.pbtxt deleted file mode 100644 index d4bc8e698..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0014/test.pbtxt +++ /dev/null @@ -1,106 +0,0 @@ -# Mock of the Epilogue, using ReLU instead of Softmax -node { - name: "placeholder" - op: "Placeholder" - attr { - key: "dtype" - value { type: DT_FLOAT } - } - attr { - key: "shape" - value { - shape { - dim { size: 2 } - dim { size: 1 } - dim { size: 1 } - dim { size: 3 } - } - } - } -} -node { - name: "squeeze" - op: "Squeeze" - input: "placeholder" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "squeeze_dims" - value { - list { i: 1 i: 2 } - } - } -} -node { - name: "Reshape/shape" - 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: 3 - } - } - } -} -node { - name: "reshape_1" - op: "Reshape" - input: "squeeze" - input: "Reshape/shape" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "Tshape" - value { type: DT_INT32 } - } -} -node { - name: "relu" - op: "Relu" - input: "reshape_1" - attr { - key: "T" - value { type: DT_FLOAT } - } -} -node { - name: "shape" - op: "Shape" - input: "squeeze" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "out_type" - value { type: DT_INT32 } - } -} -node { - name: "reshape_2" - op: "Reshape" - input: "relu" - input: "shape" - attr { - key: "T" - value { type: DT_FLOAT } - } - attr { - key: "Tshape" - value { type: DT_INT32 } - } -} diff --git a/res/TensorFlowTests/TF_SMALL_NET_0015/test.info b/res/TensorFlowTests/TF_SMALL_NET_0015/test.info deleted file mode 100644 index dbbef9b3a..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0015/test.info +++ /dev/null @@ -1,2 +0,0 @@ -input, Placeholder:0, TF_FLOAT, [2, 3] -output, as_rsqrt:0, TF_FLOAT, [2, 3] diff --git a/res/TensorFlowTests/TF_SMALL_NET_0015/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0015/test.pbtxt deleted file mode 100644 index 3d994e8d5..000000000 --- a/res/TensorFlowTests/TF_SMALL_NET_0015/test.pbtxt +++ /dev/null @@ -1,74 +0,0 @@ -# A simple network that simulates Rsqrt: 1.0 / Sqrt(input) -node { - name: "Placeholder" - op: "Placeholder" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "shape" - value { - shape { - dim { - size: 2 - } - dim { - size: 3 - } - } - } - } -} -node { - name: "SQRT_02" - op: "Sqrt" - input: "Placeholder" - attr { - key: "T" - value { - type: DT_FLOAT - } - } -} -node { - name: "Const" - op: "Const" - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 2 - } - dim { - size: 3 - } - } - float_val: 1.0 - } - } - } -} -node { - name: "as_rsqrt" - op: "RealDiv" - input: "Const" - input: "SQRT_02" - attr { - key: "T" - value { - type: DT_FLOAT - } - } -} -- cgit v1.2.3