From 2dc28d0636cf56ff4474a57a86787a129d142cad Mon Sep 17 00:00:00 2001 From: Ryan Benasutti Date: Tue, 29 Oct 2019 10:59:33 -0400 Subject: [PATCH 1/7] Add AveragePooling2D --- .../tfdata/code/layer/DefaultLayerToCode.kt | 12 ++++++ .../code/layer/DefaultLayerToCodeTest.kt | 14 ++++++- .../kotlin/edu/wpi/axon/tfdata/layer/Layer.kt | 12 ++++++ .../axon/tflayerloader/LoadLayersFromHDF5.kt | 12 +++++- .../LoadSpecificLayerTypesIntegrationTest.kt | 36 ++++++++++++++++++ .../sequential_with_avgpool2d.h5 | Bin 0 -> 7800 bytes 6 files changed, 83 insertions(+), 3 deletions(-) create mode 100644 tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt create mode 100644 tf-layer-loader/src/test/resources/edu/wpi/axon/tflayerloader/sequential_with_avgpool2d.h5 diff --git a/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt b/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt index 3c5be518..20541003 100644 --- a/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt +++ b/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt @@ -77,6 +77,18 @@ class DefaultLayerToCode : LayerToCode, KoinComponent { ) } + is Layer.AveragePooling2D -> makeLayerCode( + "tf.keras.layers.AvgPool2D", + listOf(), + listOf( + "pool_size" to layer.poolSize, + "strides" to layer.strides, + "padding" to layer.padding.value, + "data_format" to layer.dataFormat?.value, + "name" to layer.name + ) + ).right() + is Layer.Dense -> makeLayerCode( "tf.keras.layers.Dense", listOf(), diff --git a/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt b/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt index 387303f4..8e56cb70 100644 --- a/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt +++ b/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt @@ -13,9 +13,9 @@ import edu.wpi.axon.tfdata.layer.Activation import edu.wpi.axon.tfdata.layer.Constraint import edu.wpi.axon.tfdata.layer.DataFormat import edu.wpi.axon.tfdata.layer.Initializer +import edu.wpi.axon.tfdata.layer.Layer import edu.wpi.axon.tfdata.layer.PoolingPadding import edu.wpi.axon.tfdata.layer.Regularizer -import edu.wpi.axon.tfdata.layer.Layer import io.kotlintest.shouldBe import io.mockk.every import io.mockk.mockk @@ -183,6 +183,18 @@ internal class DefaultLayerToCodeTest : KoinTestFixture() { ), ("""tf.keras.layers.Flatten(data_format="channels_first", name="name")""").right(), null + ), + Arguments.of( + Layer.AveragePooling2D( + "name", + None, + Right(Tuple2(2, 2)), + Left(3), + PoolingPadding.Valid, + DataFormat.ChannelsLast + ), + Right("""tf.keras.layers.AvgPool2D(pool_size=(2, 2), strides=3, padding="valid", data_format="channels_last", name="name")"""), + null ) ) diff --git a/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt index 45abacf9..cecb4c40 100644 --- a/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt +++ b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt @@ -141,6 +141,18 @@ sealed class Layer { val virtualBatchSize: Int? = null ) : Layer() + /** + * https://www.tensorflow.org/versions/r1.14/api_docs/python/tf/keras/layers/AveragePooling2D + */ + data class AveragePooling2D( + override val name: String, + override val inputs: Option>, + val poolSize: Either> = Right(Tuple2(2, 2)), + val strides: Either>? = null, + val padding: PoolingPadding = PoolingPadding.Valid, + val dataFormat: DataFormat? = null + ) : Layer() + /** * https://www.tensorflow.org/versions/r1.14/api_docs/python/tf/keras/layers/Conv2D */ diff --git a/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt b/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt index b007805d..ed509ed0 100644 --- a/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt +++ b/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt @@ -166,8 +166,16 @@ class LoadLayersFromHDF5( json["virtual_batch_size"] as Int? ) - "Conv2D" - -> Layer.Conv2D( + "AvgPool2D", "AveragePooling2D" -> Layer.AveragePooling2D( + name, + data.inboundNodes(), + json["pool_size"].tuple2OrInt(), + json["strides"].tuple2OrIntOrNull(), + json["padding"].poolingPadding(), + json["data_format"].dataFormatOrNull() + ) + + "Conv2D" -> Layer.Conv2D( name, data.inboundNodes(), json["filters"] as Int, diff --git a/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt b/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt new file mode 100644 index 00000000..551402bf --- /dev/null +++ b/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt @@ -0,0 +1,36 @@ +@file:SuppressWarnings("LongMethod", "LargeClass") +@file:Suppress("UnstableApiUsage") + +package edu.wpi.axon.tflayerloader + +import arrow.core.None +import arrow.core.Right +import arrow.core.Tuple2 +import edu.wpi.axon.tfdata.Model +import edu.wpi.axon.tfdata.layer.DataFormat +import edu.wpi.axon.tfdata.layer.Layer +import edu.wpi.axon.tfdata.layer.PoolingPadding +import io.kotlintest.matchers.collections.shouldContainExactly +import io.kotlintest.shouldBe +import org.junit.jupiter.api.Test + +internal class LoadSpecificLayerTypesIntegrationTest { + + @Test + fun `load AvgPool2D`() { + loadModel("sequential_with_avgpool2d.h5") { + it.name shouldBe "sequential_7" + it.batchInputShape shouldBe listOf(null, null, 2, 2) + it.layers.shouldContainExactly( + Layer.AveragePooling2D( + "average_pooling2d_7", + None, + Right(Tuple2(2, 2)), + Right(Tuple2(2, 2)), + PoolingPadding.Valid, + DataFormat.ChannelsLast + ).trainable() + ) + } + } +} diff --git a/tf-layer-loader/src/test/resources/edu/wpi/axon/tflayerloader/sequential_with_avgpool2d.h5 b/tf-layer-loader/src/test/resources/edu/wpi/axon/tflayerloader/sequential_with_avgpool2d.h5 new file mode 100644 index 0000000000000000000000000000000000000000..72d637cc94d4ae7ed605d7db81267bcf370442b8 GIT binary patch literal 7800 zcmeHMPfrs;6rU<;gT<8K0TfNMXCP2X053uW>A^@N9!v;Xrrl|~VRpCfEFh959QEc$ z@aWNx;gO>s!y`AGH}f8am8OcGU^k&}=gph<=Qr=oE^j|omR}4FJ{V+h<@0QS70oUE zoZ$8TvE|U1=C|-Bhx8-TuQ%*Xj^!E5jUvB@`b#%0V-y#@dA+j2v?S>#ipx$FVcva(c#c;8~sluzF=&j^bk@`QBvgx_o>N;4@h7fIkR=`iMNI+>dPB_HD2Eqq1RWBDO}V8P;~to zGI}f?^(bukO+DRL-zqqR`k+LqUW-`&El{GbUUhwZ+s^;6g!QZI%D5Folej7)*9C!e zU6(NMFPKM!1J|X+o5F2Jk@Ul6*>mU26xGu_3H~9ay552!*4H80E3hioVL_L{D3g3& z#BRs~0jCLLBii7Irn#K8O!kTP^7DVxH@HgmSQ!Iv7^8Z$BdE&(bKcPTNb;W_S&2gu zM7sKX?WOS@ANv#s)nj?8JT*I+H0YSMFA9t$B2-b_kkOu1gpYG(&JWExaO#pPWsq~8 zmYj9*ZbyWP&!sa_a_o7e`3DX_3j*p?z?}mT1H95R8);QbHWjLv3ClecUa%7&nZ(== zc};@RB;FC4RpUv$<@#ZJCvjDaw_$1{+>vskWPi&OrShg0^pbru>FBt5@}vyd&Ois^f4i8i_=APy>xKyIk(L5O`fXfM# z0Ivd}5v&^kVKeMAUU+VoZ+FX4JZMXSF99w*0ksyK1D*7GfZPs3XvlHl>?pg>5Xcb7 z5Xcb75Xcb75Xcb75Xcb75V$%BtiM`Y&Y5nWjcFeHA=C%hO7%ysPUQbLl5XGi-}}M# ze|l`lq};UqRMz`DNlHE&UM~dF{Z#7X{d{;H2deMtdG@78>2u`hj#Wi=zG1)eDCNhc z4PMcO)R#`<)jeO}yUr-H-LGzAdbsoqdw`2<_AZ+}!G Date: Tue, 29 Oct 2019 11:05:35 -0400 Subject: [PATCH 2/7] Add GlobalMaxPooling2D --- .../axon/tfdata/code/layer/DefaultLayerToCode.kt | 9 +++++++++ .../tfdata/code/layer/DefaultLayerToCodeTest.kt | 9 +++++++++ .../kotlin/edu/wpi/axon/tfdata/layer/Layer.kt | 9 +++++++++ .../wpi/axon/tflayerloader/LoadLayersFromHDF5.kt | 6 ++++++ .../LoadSpecificLayerTypesIntegrationTest.kt | 15 +++++++++++++++ .../sequential_with_globalmaxpooling2d.h5 | Bin 0 -> 7800 bytes 6 files changed, 48 insertions(+) create mode 100644 tf-layer-loader/src/test/resources/edu/wpi/axon/tflayerloader/sequential_with_globalmaxpooling2d.h5 diff --git a/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt b/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt index 20541003..4fa9c56f 100644 --- a/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt +++ b/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt @@ -118,6 +118,15 @@ class DefaultLayerToCode : LayerToCode, KoinComponent { ) ).right() + is Layer.GlobalMaxPooling2D -> makeLayerCode( + "tf.keras.layers.GlobalMaxPooling2D", + listOf(), + listOf( + "data_format" to layer.dataFormat?.value, + "name" to layer.name + ) + ).right() + is Layer.MaxPooling2D -> makeLayerCode( "tf.keras.layers.MaxPooling2D", listOf(), diff --git a/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt b/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt index 8e56cb70..074a1d8b 100644 --- a/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt +++ b/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt @@ -195,6 +195,15 @@ internal class DefaultLayerToCodeTest : KoinTestFixture() { ), Right("""tf.keras.layers.AvgPool2D(pool_size=(2, 2), strides=3, padding="valid", data_format="channels_last", name="name")"""), null + ), + Arguments.of( + Layer.GlobalMaxPooling2D( + "name", + None, + DataFormat.ChannelsFirst + ), + Right("""tf.keras.layers.GlobalMaxPooling2D(data_format="channels_first", name="name")"""), + null ) ) diff --git a/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt index cecb4c40..55606852 100644 --- a/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt +++ b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt @@ -209,6 +209,15 @@ sealed class Layer { val dataFormat: DataFormat? = null ) : Layer() + /** + * https://www.tensorflow.org/versions/r1.14/api_docs/python/tf/keras/layers/GlobalMaxPool2D + */ + data class GlobalMaxPooling2D( + override val name: String, + override val inputs: Option>, + val dataFormat: DataFormat? = null + ) : Layer() + /** * https://www.tensorflow.org/versions/r1.14/api_docs/python/tf/keras/layers/MaxPool2D */ diff --git a/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt b/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt index ed509ed0..0dce0f04 100644 --- a/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt +++ b/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt @@ -216,6 +216,12 @@ class LoadLayersFromHDF5( json["data_format"].dataFormatOrNull() ) + "GlobalMaxPooling2D", "GlobalMaxPool2D" -> Layer.GlobalMaxPooling2D( + name, + data.inboundNodes(), + json["data_format"].dataFormatOrNull() + ) + "MaxPool2D", "MaxPooling2D" -> Layer.MaxPooling2D( name, data.inboundNodes(), diff --git a/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt b/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt index 551402bf..90bb0f39 100644 --- a/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt +++ b/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt @@ -33,4 +33,19 @@ internal class LoadSpecificLayerTypesIntegrationTest { ) } } + + @Test + fun `load GlobalMaxPooling2D`() { + loadModel("sequential_with_globalmaxpooling2d.h5") { + it.name shouldBe "sequential_8" + it.batchInputShape shouldBe listOf(null, null, 2, 2) + it.layers.shouldContainExactly( + Layer.GlobalMaxPooling2D( + "global_max_pooling2d", + None, + DataFormat.ChannelsLast + ).trainable() + ) + } + } } diff --git a/tf-layer-loader/src/test/resources/edu/wpi/axon/tflayerloader/sequential_with_globalmaxpooling2d.h5 b/tf-layer-loader/src/test/resources/edu/wpi/axon/tflayerloader/sequential_with_globalmaxpooling2d.h5 new file mode 100644 index 0000000000000000000000000000000000000000..8fc6e1305713962ee2212dd6e9e591beb431527b GIT binary patch literal 7800 zcmeHMK~EDw6rL(-gN2mHp(vVW&p=8g5xfWyqz9EoJeUx&4DGbtFuPlKw*rzT9QEc; z@aWN>;gO?1!=pExH}f8qwM`X0$xK3L=DoM?&3yab4EgqbW%bF}=f*p-&eS4%BL@wXM}|x)`fKUh1YB)u@X{VE|b9@_7j+|>AcRdimDaxKh7pq zj_-+x$L<>u#a~og4JLDGJ$i=846+TettgZ`jIsb2F~|1EH$+Mv4re%&mn-#E|%u?Jf%f z>AEiB#y?^n5e`im?sDn+{J?F8q4a`gxehw2r$sXS&7SId2Z~s=V~m$$Rjk9DDuV)( z{7^)0z@EFmU(D_LAAMP59 zV=}~k{qe?Ay>`6zX&+RN<+<|Q!feu@W7hnmz*r)JIE)%H+&7N!I%oR)P@*HJCV3od zK}bY_Z+O)JjKfohSFp z;IGaT?l!{6=Lzhj*5W}RWb7&c5~thU?sl2ZDL`rve%B0)bo4U9oyuSuU(AscwiD0y 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tf-layer-loader/src/test/resources/edu/wpi/axon/tflayerloader/sequential_with_spatialdropout2d.h5 diff --git a/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt b/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt index 4fa9c56f..be644cb9 100644 --- a/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt +++ b/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt @@ -139,6 +139,15 @@ class DefaultLayerToCode : LayerToCode, KoinComponent { ) ).right() + is Layer.SpatialDropout2D -> makeLayerCode( + "tf.keras.layers.SpatialDropout2D", + listOf(layer.rate.toString()), + listOf( + "data_format" to layer.dataFormat?.value, + "name" to layer.name + ) + ).right() + // TODO: Remove this else -> "Cannot construct an unknown layer: $layer".left() } diff --git a/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt b/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt index 074a1d8b..541333d8 100644 --- a/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt +++ b/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt @@ -204,6 +204,16 @@ internal class DefaultLayerToCodeTest : KoinTestFixture() { ), Right("""tf.keras.layers.GlobalMaxPooling2D(data_format="channels_first", name="name")"""), null + ), + Arguments.of( + Layer.SpatialDropout2D( + "name", + None, + 0.2, + null + ), + Right("""tf.keras.layers.SpatialDropout2D(0.2, data_format=None, name="name")"""), + null ) ) diff --git a/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt index 55606852..7b9ace08 100644 --- a/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt +++ b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt @@ -229,4 +229,21 @@ sealed class Layer { val padding: PoolingPadding = PoolingPadding.Valid, val dataFormat: DataFormat? = null ) : Layer() + + /** + * https://www.tensorflow.org/versions/r1.14/api_docs/python/tf/keras/layers/SpatialDropout2D + */ + data class SpatialDropout2D( + override val name: String, + override val inputs: Option>, + val rate: Double, + val dataFormat: DataFormat? = null + ) : Layer() { + + init { + require(rate in 0.0..1.0) { + "rate ($rate) was outside the allowed range of [0, 1]." + } + } + } } diff --git a/tf-data/src/test/kotlin/edu/wpi/axon/tfdata/layer/LayerTest.kt b/tf-data/src/test/kotlin/edu/wpi/axon/tfdata/layer/LayerTest.kt index 9b1c7558..61cc6002 100644 --- a/tf-data/src/test/kotlin/edu/wpi/axon/tfdata/layer/LayerTest.kt +++ b/tf-data/src/test/kotlin/edu/wpi/axon/tfdata/layer/LayerTest.kt @@ -14,6 +14,18 @@ internal class LayerTest { @Test fun `dropout with invalid rate`() { + shouldThrow { Layer.Dropout("", None, -0.1) } shouldThrow { Layer.Dropout("", None, 1.2) } } + + @Test + fun `spatialdropout2d with valid rate`() { + shouldNotThrow { Layer.SpatialDropout2D("", None, 0.5) } + } + + @Test + fun `spatialdropout2d with invalid rate`() { + shouldThrow { Layer.SpatialDropout2D("", None, -0.1) } + shouldThrow { Layer.SpatialDropout2D("", None, 1.2) } + } } diff --git a/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt b/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt index 0dce0f04..10e50265 100644 --- a/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt +++ b/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt @@ -231,6 +231,13 @@ class LoadLayersFromHDF5( json["data_format"].dataFormatOrNull() ) + "SpatialDropout2D" -> Layer.SpatialDropout2D( + name, + data.inboundNodes(), + json["rate"].double(), + json["data_format"].dataFormatOrNull() + ) + else -> Layer.UnknownLayer( name, data.inboundNodes() diff --git a/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt b/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt index 90bb0f39..2ea9a8dd 100644 --- a/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt +++ b/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt @@ -48,4 +48,20 @@ internal class LoadSpecificLayerTypesIntegrationTest { ) } } + + @Test + fun `load SpatialDropout2D`() { + loadModel("sequential_with_spatialdropout2d.h5") { + it.name shouldBe "sequential_9" + it.batchInputShape shouldBe listOf(null, null, 2, 2) + it.layers.shouldContainExactly( + Layer.SpatialDropout2D( + "spatial_dropout2d", + None, + 0.2, + null + ).trainable() + ) + } + } } diff --git a/tf-layer-loader/src/test/resources/edu/wpi/axon/tflayerloader/sequential_with_spatialdropout2d.h5 b/tf-layer-loader/src/test/resources/edu/wpi/axon/tflayerloader/sequential_with_spatialdropout2d.h5 new file mode 100644 index 0000000000000000000000000000000000000000..101162fbb8f76ea0e90d03f2199b856b435acbc2 GIT binary patch literal 7800 zcmeHMPfrs;6rU<;gT<8Sp(vWoo`IA~B6tyE(H@Kt@nAy8GVM;=4g06=Y(*qZIO@%h z;L)QW!y`vOhDUEWZ|1#L7Md!0vb#w;JMX=DZ{Ba-n`z&Cs8yd#P2Qel@Z|Gsf)({E zeVyR*_MV|opZL4@lEd~rwx2JVmmJG8;FXYGME%xfLnz_EmoL`WnUW;^)Z(zdf_$Hl zy^IqAwe_`4@b?uuP4V;<#;c;a#2apR~Hb(4yV49cfv68z1U@_HANSUpE*ufR4j4+|>7OU&m7 zB6dO^2-r;+yQvILt2UQ2mdQS~!{+%f@*Ac~`B+SS*?3 z(y@x^x<^!TtjGIwfYRWP`%=wDkzDZC2URb+&YZ1zD<7 kpM~rE{bgXMsPB(-!4&F(c!f0TUQ5>{G3ZRK@_ai#0k+Cy!T Date: Tue, 29 Oct 2019 11:38:48 -0400 Subject: [PATCH 4/7] Add UpSampling2D --- .../tfdata/code/layer/DefaultLayerToCode.kt | 11 ++++++ .../code/layer/DefaultLayerToCodeTest.kt | 12 ++++++ .../wpi/axon/tfdata/layer/Interpolation.kt | 8 ++++ .../kotlin/edu/wpi/axon/tfdata/layer/Layer.kt | 13 +++++++ .../axon/tflayerloader/LoadLayersFromHDF5.kt | 15 ++++++++ .../LoadSpecificLayerTypesIntegrationTest.kt | 35 ++++++++++++++++++ .../sequential_with_upsampling2d_bilinear.h5 | Bin 0 -> 7768 bytes .../sequential_with_upsampling2d_nearest.h5 | Bin 0 -> 7768 bytes 8 files changed, 94 insertions(+) create mode 100644 tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Interpolation.kt create mode 100644 tf-layer-loader/src/test/resources/edu/wpi/axon/tflayerloader/sequential_with_upsampling2d_bilinear.h5 create mode 100644 tf-layer-loader/src/test/resources/edu/wpi/axon/tflayerloader/sequential_with_upsampling2d_nearest.h5 diff --git a/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt b/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt index be644cb9..19a2cd86 100644 --- a/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt +++ b/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt @@ -148,6 +148,17 @@ class DefaultLayerToCode : LayerToCode, KoinComponent { ) ).right() + is Layer.UpSampling2D -> makeLayerCode( + "tf.keras.layers.UpSampling2D", + listOf(), + listOf( + "size" to layer.size, + "data_format" to layer.dataFormat?.value, + "interpolation" to layer.interpolation.value, + "name" to layer.name + ) + ).right() + // TODO: Remove this else -> "Cannot construct an unknown layer: $layer".left() } diff --git a/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt b/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt index 541333d8..c04cb48d 100644 --- a/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt +++ b/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt @@ -13,6 +13,7 @@ import edu.wpi.axon.tfdata.layer.Activation import edu.wpi.axon.tfdata.layer.Constraint import edu.wpi.axon.tfdata.layer.DataFormat import edu.wpi.axon.tfdata.layer.Initializer +import edu.wpi.axon.tfdata.layer.Interpolation import edu.wpi.axon.tfdata.layer.Layer import edu.wpi.axon.tfdata.layer.PoolingPadding import edu.wpi.axon.tfdata.layer.Regularizer @@ -214,6 +215,17 @@ internal class DefaultLayerToCodeTest : KoinTestFixture() { ), Right("""tf.keras.layers.SpatialDropout2D(0.2, data_format=None, name="name")"""), null + ), + Arguments.of( + Layer.UpSampling2D( + "name", + None, + Right(Tuple2(2, 2)), + null, + Interpolation.Nearest + ), + Right("""tf.keras.layers.UpSampling2D(size=(2, 2), data_format=None, interpolation="nearest", name="name")"""), + null ) ) diff --git a/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Interpolation.kt b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Interpolation.kt new file mode 100644 index 00000000..ef9a1369 --- /dev/null +++ b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Interpolation.kt @@ -0,0 +1,8 @@ +package edu.wpi.axon.tfdata.layer + +/** + * Values for the `interpolation` parameter for sampling-type layers. + */ +enum class Interpolation(val value: String) { + Nearest("nearest"), Bilinear("bilinear") +} diff --git a/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt index 7b9ace08..ba79bcb2 100644 --- a/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt +++ b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt @@ -246,4 +246,17 @@ sealed class Layer { } } } + + /** + * https://www.tensorflow.org/versions/r1.14/api_docs/python/tf/keras/layers/UpSampling2D + * + * Bug: TF does not export a value for [interpolation]. + */ + data class UpSampling2D( + override val name: String, + override val inputs: Option>, + val size: Either> = Right(Tuple2(2, 2)), + val dataFormat: DataFormat? = null, + val interpolation: Interpolation = Interpolation.Nearest + ) : Layer() } diff --git a/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt b/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt index 10e50265..1e7da8cc 100644 --- a/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt +++ b/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt @@ -18,6 +18,7 @@ import edu.wpi.axon.tfdata.layer.Activation import edu.wpi.axon.tfdata.layer.Constraint import edu.wpi.axon.tfdata.layer.DataFormat import edu.wpi.axon.tfdata.layer.Initializer +import edu.wpi.axon.tfdata.layer.Interpolation import edu.wpi.axon.tfdata.layer.Layer import edu.wpi.axon.tfdata.layer.PoolingPadding import edu.wpi.axon.tfdata.layer.Regularizer @@ -238,6 +239,14 @@ class LoadLayersFromHDF5( json["data_format"].dataFormatOrNull() ) + "UpSampling2D" -> Layer.UpSampling2D( + name, + data.inboundNodes(), + json["size"].tuple2OrInt(), + json["data_format"].dataFormatOrNull(), + json["interpolation"].interpolation() + ) + else -> Layer.UnknownLayer( name, data.inboundNodes() @@ -384,6 +393,12 @@ private fun Any?.dataFormatOrNull(): DataFormat? = when (this as? String) { else -> throw IllegalArgumentException("Not convertible: $this") } +private fun Any?.interpolation(): Interpolation = when (this as? String) { + "nearest" -> Interpolation.Nearest + "bilinear" -> Interpolation.Bilinear + else -> throw IllegalArgumentException("Not convertible: $this") +} + private fun Any?.tuple2OrInt(): Either> = when { this is Int -> Left(this) diff --git a/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt b/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt index 2ea9a8dd..ef52d874 100644 --- a/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt +++ b/tf-layer-loader/src/test/kotlin/edu/wpi/axon/tflayerloader/LoadSpecificLayerTypesIntegrationTest.kt @@ -8,6 +8,7 @@ import arrow.core.Right import arrow.core.Tuple2 import edu.wpi.axon.tfdata.Model import edu.wpi.axon.tfdata.layer.DataFormat +import edu.wpi.axon.tfdata.layer.Interpolation import edu.wpi.axon.tfdata.layer.Layer import edu.wpi.axon.tfdata.layer.PoolingPadding import io.kotlintest.matchers.collections.shouldContainExactly @@ -64,4 +65,38 @@ internal class LoadSpecificLayerTypesIntegrationTest { ) } } + + @Test + fun `load UpSampling2D`() { + loadModel("sequential_with_upsampling2d_nearest.h5") { + it.name shouldBe "sequential_3" + it.batchInputShape shouldBe listOf(null, null, 2, 2) + it.layers.shouldContainExactly( + Layer.UpSampling2D( + "up_sampling2d_3", + None, + Right(Tuple2(2, 2)), + DataFormat.ChannelsLast, + Interpolation.Nearest + ).trainable() + ) + } + } + + @Test + fun `load UpSampling2D bilinear`() { + loadModel("sequential_with_upsampling2d_bilinear.h5") { + it.name shouldBe "sequential_2" + it.batchInputShape shouldBe listOf(null, null, 2, 2) + it.layers.shouldContainExactly( + Layer.UpSampling2D( + "up_sampling2d_2", + None, + Right(Tuple2(2, 2)), + DataFormat.ChannelsLast, + Interpolation.Bilinear + ).trainable() + ) + } + } } diff --git 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j+d!b1V6dg}Ru2n?@d4hfY#`~QKQXc5 From e954f13beb4cc375af0d2535a3c44dea0cddb052 Mon Sep 17 00:00:00 2001 From: Ryan Benasutti Date: Fri, 1 Nov 2019 17:05:06 -0400 Subject: [PATCH 6/7] Add GlobalAveragePooling2D and add Layer.ModelLayer for TF 1.15.0 support --- test-util/test-util.gradle.kts | 3 + .../tfdata/code/layer/DefaultLayerToCode.kt | 9 +++ .../code/layer/DefaultLayerToCodeTest.kt | 9 +++ .../kotlin/edu/wpi/axon/tfdata/layer/Layer.kt | 20 +++++++ .../axon/tflayerloader/LoadLayersFromHDF5.kt | 8 +++ ...kt => Mobilenet-v-1-14-IntegrationTest.kt} | 2 +- .../Mobilenet-v-1-15-IntegrationTest.kt | 54 ++++++++++++++++++ .../wpi/axon/training/mobilenet_tf_1_15_0.h5 | Bin 0 -> 9519024 bytes 8 files changed, 104 insertions(+), 1 deletion(-) rename training/src/test/kotlin/edu/wpi/axon/training/{MobilenetIntegrationTest.kt => Mobilenet-v-1-14-IntegrationTest.kt} (99%) create mode 100644 training/src/test/kotlin/edu/wpi/axon/training/Mobilenet-v-1-15-IntegrationTest.kt create mode 100644 training/src/test/resources/edu/wpi/axon/training/mobilenet_tf_1_15_0.h5 diff --git a/test-util/test-util.gradle.kts b/test-util/test-util.gradle.kts index ddb8afef..59452b10 100644 --- a/test-util/test-util.gradle.kts +++ b/test-util/test-util.gradle.kts @@ -43,6 +43,9 @@ dependencies { } }) + // Needed by kotlintest + api(group = "com.github.wumpz", name = "diffutils", version = "2.2") + api( group = "org.junit.jupiter", name = "junit-jupiter", diff --git a/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt b/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt index 19a2cd86..ba16dd95 100644 --- a/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt +++ b/tf-data-code/src/main/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCode.kt @@ -118,6 +118,15 @@ class DefaultLayerToCode : LayerToCode, KoinComponent { ) ).right() + is Layer.GlobalAveragePooling2D -> makeLayerCode( + "tf.keras.layers.GlobalAveragePooling2D", + listOf(), + listOf( + "data_format" to layer.dataFormat?.value, + "name" to layer.name + ) + ).right() + is Layer.GlobalMaxPooling2D -> makeLayerCode( "tf.keras.layers.GlobalMaxPooling2D", listOf(), diff --git a/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt b/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt index c04cb48d..65e787ba 100644 --- a/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt +++ b/tf-data-code/src/test/kotlin/edu/wpi/axon/tfdata/code/layer/DefaultLayerToCodeTest.kt @@ -226,6 +226,15 @@ internal class DefaultLayerToCodeTest : KoinTestFixture() { ), Right("""tf.keras.layers.UpSampling2D(size=(2, 2), data_format=None, interpolation="nearest", name="name")"""), null + ), + Arguments.of( + Layer.GlobalAveragePooling2D( + "name", + None, + DataFormat.ChannelsLast + ), + Right("""tf.keras.layers.GlobalAveragePooling2D(data_format="channels_last", name="name")"""), + null ) ) diff --git a/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt index ba79bcb2..bfcb1249 100644 --- a/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt +++ b/tf-data/src/main/kotlin/edu/wpi/axon/tfdata/layer/Layer.kt @@ -83,6 +83,17 @@ sealed class Layer { override val inputs: Option> ) : Layer() + /** + * A layer that contains an entire model inside it. + * + * @param model The model that acts as this layer. + */ + data class ModelLayer( + override val name: String, + override val inputs: Option>, + val model: Model + ) : Layer() + /** * A layer that accepts input data and has no parameters. * @@ -209,6 +220,15 @@ sealed class Layer { val dataFormat: DataFormat? = null ) : Layer() + /** + * https://www.tensorflow.org/versions/r1.14/api_docs/python/tf/keras/layers/GlobalAveragePooling2D + */ + data class GlobalAveragePooling2D( + override val name: String, + override val inputs: Option>, + val dataFormat: DataFormat? + ) : Layer() + /** * https://www.tensorflow.org/versions/r1.14/api_docs/python/tf/keras/layers/GlobalMaxPool2D */ diff --git a/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt b/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt index 1e7da8cc..735f0a5c 100644 --- a/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt +++ b/tf-layer-loader/src/main/kotlin/edu/wpi/axon/tflayerloader/LoadLayersFromHDF5.kt @@ -130,6 +130,8 @@ class LoadLayersFromHDF5( val json = data["config"] as JsonObject val name = json["name"] as String return when (className) { + "Sequential", "Model" -> Layer.ModelLayer(name, data.inboundNodes(), parseModel(data)) + "InputLayer" -> Layer.InputLayer( name, (json["batch_input_shape"] as JsonArray).toList().let { @@ -217,6 +219,12 @@ class LoadLayersFromHDF5( json["data_format"].dataFormatOrNull() ) + "GlobalAveragePooling2D", "GlobalAvgPool2D" -> Layer.GlobalAveragePooling2D( + name, + data.inboundNodes(), + json["data_format"].dataFormatOrNull() + ) + "GlobalMaxPooling2D", "GlobalMaxPool2D" -> Layer.GlobalMaxPooling2D( name, data.inboundNodes(), diff --git a/training/src/test/kotlin/edu/wpi/axon/training/MobilenetIntegrationTest.kt b/training/src/test/kotlin/edu/wpi/axon/training/Mobilenet-v-1-14-IntegrationTest.kt similarity index 99% rename from training/src/test/kotlin/edu/wpi/axon/training/MobilenetIntegrationTest.kt rename to training/src/test/kotlin/edu/wpi/axon/training/Mobilenet-v-1-14-IntegrationTest.kt index c1430d11..cac778ff 100644 --- a/training/src/test/kotlin/edu/wpi/axon/training/MobilenetIntegrationTest.kt +++ b/training/src/test/kotlin/edu/wpi/axon/training/Mobilenet-v-1-14-IntegrationTest.kt @@ -14,7 +14,7 @@ import io.kotlintest.shouldBe import org.junit.jupiter.api.Test import org.koin.core.context.startKoin -internal class MobilenetIntegrationTest : KoinTestFixture() { +internal class `Mobilenet-v-1-14-IntegrationTest` : KoinTestFixture() { @Test fun `test with mobilenet`() { diff --git a/training/src/test/kotlin/edu/wpi/axon/training/Mobilenet-v-1-15-IntegrationTest.kt b/training/src/test/kotlin/edu/wpi/axon/training/Mobilenet-v-1-15-IntegrationTest.kt new file mode 100644 index 00000000..7a51fd76 --- /dev/null +++ b/training/src/test/kotlin/edu/wpi/axon/training/Mobilenet-v-1-15-IntegrationTest.kt @@ -0,0 +1,54 @@ +@file:SuppressWarnings("LongMethod", "LargeClass") + +package edu.wpi.axon.training + +import arrow.core.None +import edu.wpi.axon.dsl.defaultModule +import edu.wpi.axon.testutil.KoinTestFixture +import edu.wpi.axon.tfdata.Model +import edu.wpi.axon.tfdata.layer.Activation +import edu.wpi.axon.tfdata.layer.DataFormat +import edu.wpi.axon.tfdata.layer.Layer +import io.kotlintest.matchers.collections.shouldHaveSize +import io.kotlintest.matchers.types.shouldBeInstanceOf +import io.kotlintest.shouldBe +import org.junit.jupiter.api.Test +import org.koin.core.context.startKoin + +internal class `Mobilenet-v-1-15-IntegrationTest` : KoinTestFixture() { + + @Test + fun `test with mobilenet`() { + startKoin { + modules(defaultModule()) + } + + val modelName = "mobilenet_tf_1_15_0.h5" + val (model, path) = loadModel(modelName) + model.shouldBeInstanceOf { + it.layers.shouldHaveSize(3) + it.layers.toList().let { + it[0].shouldBeInstanceOf { + it.layer.shouldBeInstanceOf { + it.model.shouldBeInstanceOf { + it.layers.nodes().shouldHaveSize(155) + } + } + } + + it[1] shouldBe Layer.GlobalAveragePooling2D( + "global_average_pooling2d", + None, + DataFormat.ChannelsLast + ).trainable() + + it[2] shouldBe Layer.Dense( + "dense", + None, + 10, + activation = Activation.SoftMax + ).trainable() + } + } + } +} diff --git a/training/src/test/resources/edu/wpi/axon/training/mobilenet_tf_1_15_0.h5 b/training/src/test/resources/edu/wpi/axon/training/mobilenet_tf_1_15_0.h5 new file 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