[lilac] updated to 1.9.2-2

3 files changed, 6 insertions, 42 deletions

diff --git a/.SRCINFO b/.SRCINFO
index c9ead537e6a0..d0ff665b0543 100644
--- a/.SRCINFO
+++ b/.SRCINFO
@@ -1,6 +1,6 @@
 pkgbase = python-tf2onnx
 	pkgdesc = Convert TensorFlow models to ONNX
-	pkgver = 1.9.1
+	pkgver = 1.9.2
 	pkgrel = 2
 	url = https://github.com/onnx/tensorflow-onnx
 	arch = any
@@ -20,9 +20,7 @@ pkgbase = python-tf2onnx
 	depends = python-onnx
 	depends = python-requests
 	depends = python-six
-	source = https://github.com/onnx/tensorflow-onnx/archive/v1.9.1/tf2onnx-v1.9.1.tar.gz
-	source = larger-tolerance.diff
-	sha256sums = e3bb05f0a2d0afe4d4bda4946bd04d0262dc7780a93e0ab5c9a5050f905ca869
-	sha256sums = 171684b938833d544e04fef6a420ca209a4785b40377b99c8a37336bada5d3f1
+	source = https://github.com/onnx/tensorflow-onnx/archive/v1.9.2/tf2onnx-v1.9.2.tar.gz
+	sha256sums = 3abeb0014563b93f12bb39e403d8c08b68fc421589e8c46f450cb828d4aa6d07
 
 pkgname = python-tf2onnx
diff --git a/PKGBUILD b/PKGBUILD
index b092839769ae..f64a91660e2e 100644
--- a/PKGBUILD
+++ b/PKGBUILD
@@ -1,7 +1,7 @@
 # Maintainer: Chih-Hsuan Yen <yan12125@archlinux.org>
 
 pkgname=python-tf2onnx
-pkgver=1.9.1
+pkgver=1.9.2
 pkgrel=2
 pkgdesc='Convert TensorFlow models to ONNX'
 arch=(any)
@@ -10,16 +10,13 @@ license=(MIT)
 depends=(python python-tensorflow python-numpy python-onnx python-requests python-six)
 makedepends=(python-setuptools python-build python-install python-wheel)
 checkdepends=(python-pytest python-graphviz python-parameterized python-yaml python-onnxruntime)
-source=("https://github.com/onnx/tensorflow-onnx/archive/v$pkgver/tf2onnx-v$pkgver.tar.gz"
-        'larger-tolerance.diff')
-sha256sums=('e3bb05f0a2d0afe4d4bda4946bd04d0262dc7780a93e0ab5c9a5050f905ca869'
-            '171684b938833d544e04fef6a420ca209a4785b40377b99c8a37336bada5d3f1')
+source=("https://github.com/onnx/tensorflow-onnx/archive/v$pkgver/tf2onnx-v$pkgver.tar.gz")
+sha256sums=('3abeb0014563b93f12bb39e403d8c08b68fc421589e8c46f450cb828d4aa6d07')
 
 prepare() {
   cd tensorflow-onnx-$pkgver
   sed -i -r 's#--cov\S+##' setup.cfg
   sed -i "s#'pytest-runner'##" setup.py
-  patch -Np1 -i ../larger-tolerance.diff
 }
 
 build() {
diff --git a/larger-tolerance.diff b/larger-tolerance.diff
deleted file mode 100644
index dc41766e9aa8..000000000000
--- a/larger-tolerance.diff
+++ /dev/null
@@ -1,31 +0,0 @@
-diff --git a/tests/test_backend.py b/tests/test_backend.py
-index 36e27d1..8881715 100644
---- a/tests/test_backend.py
-+++ b/tests/test_backend.py
-@@ -432,7 +432,7 @@ class BackendTests(Tf2OnnxBackendTestBase):
-         strides = [1, 2, 2, 1]
-         x_val = np.arange(1, 1 + np.prod(x_shape)).astype("float32").reshape(x_shape)
-         kernel_val = np.arange(1, 1 + np.prod(kernel_shape)).astype("float32").reshape(kernel_shape)
--        self._conv_test(x_val, kernel_val, strides=strides, padding="VALID", rtol=1e-05)
-+        self._conv_test(x_val, kernel_val, strides=strides, padding="VALID", rtol=1.1e-05)
- 
-     @check_tf_min_version("1.14", "tf 1.14 needed for explicit padding")
-     def test_conv2d_explicit_padding(self):
-@@ -442,7 +442,7 @@ class BackendTests(Tf2OnnxBackendTestBase):
-         strides = [1, 1, 1, 1]
-         x_val = np.arange(1, 1 + np.prod(x_shape)).astype("float32").reshape(x_shape)
-         kernel_val = np.arange(1, 1 + np.prod(kernel_shape)).astype("float32").reshape(kernel_shape)
--        self._conv_test(x_val, kernel_val, strides=strides, padding=pads, rtol=1e-05)
-+        self._conv_test(x_val, kernel_val, strides=strides, padding=pads, rtol=1.1e-05)
- 
-     def test_conv2d_dilation_same(self):
-         x_shape = [1, 35, 35, 288]  # NHWC
-@@ -451,7 +451,7 @@ class BackendTests(Tf2OnnxBackendTestBase):
-         dilations = [1, 3, 1, 1]  # NHWC
-         x_val = np.arange(1, 1 + np.prod(x_shape)).astype("float32").reshape(x_shape)
-         kernel_val = np.arange(1, 1 + np.prod(kernel_shape)).astype("float32").reshape(kernel_shape)
--        self._conv_test(x_val, kernel_val, strides=strides, padding="SAME", dilations=dilations, rtol=1e-05)
-+        self._conv_test(x_val, kernel_val, strides=strides, padding="SAME", dilations=dilations, rtol=1.1e-05)
- 
-     def test_conv2d_dilation_strides_same(self):
-         x_shape = [1, 35, 35, 288]  # NHWC