[TF FE][JAX FE] Support latest TF 2.18, JAX 0.4.35 and NumPy 2.x

src/frontends/jax/src/op/erfc.cpp

@@ -0,0 +1,33 @@
+// Copyright (C) 2018-2024 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include "openvino/frontend/jax/node_context.hpp"
+#include "openvino/op/erf.hpp"
+#include "openvino/op/subtract.hpp"
+#include "utils.hpp"
+
+using namespace std;
+using namespace ov;
+using namespace ov::op;
+
+namespace ov {
+namespace frontend {
+namespace jax {
+namespace op {
+
+OutputVector translate_erfc(const NodeContext& context) {
+    num_inputs_check(context, 1, 1);
+    auto x = context.get_input(0);
+
+    // create y const of the same type as x
+    auto const_one = create_same_type_const_scalar<int64_t>(x, 1);
+    Output<Node> res = make_shared<v0::Erf>(x);
+    res = make_shared<v1::Subtract>(const_one, res);
+    return {res};
+};
+
+}  // namespace op
+}  // namespace jax
+}  // namespace frontend
+}  // namespace ov

src/frontends/jax/src/op_table.cpp

@@ -45,6 +45,7 @@ OP_CONVERTER(translate_convert);
 OP_CONVERTER(translate_convolution);
 OP_CONVERTER(translate_copy);
 OP_CONVERTER(translate_dot_general);
+OP_CONVERTER(translate_erfc);
 OP_CONVERTER(translate_integer_pow);
 OP_T_CONVERTER(translate_reduce_op);
 OP_CONVERTER(translate_reduce_window_max);
@@ -72,6 +73,7 @@ const std::map<std::string, CreatorFunction> get_supported_ops_jaxpr() {
             {"dot_general", op::translate_dot_general},
             {"eq", op::translate_binary_op<v1::Equal>},
             {"erf", op::translate_1to1_match_1_input<v0::Erf>},
+            {"erfc", op::translate_erfc},
             {"exp", op::translate_1to1_match_1_input<v0::Exp>},
             {"ge", op::translate_binary_op<v1::GreaterEqual>},
             {"gt", op::translate_binary_op<v1::Greater>},

tests/constraints.txt

@@ -11,7 +11,7 @@ sympy>=1.10
 wheel>=0.38.1
 defusedxml>=0.7.1
 fastjsonschema~=2.17.1
-tensorflow>=2.5,<2.18.0
+tensorflow>=2.5,<2.19.0
 requests>=2.25.1
 opencv-python>=4.5
 paddlepaddle==2.6.1
@@ -21,11 +21,11 @@ pytest>=5.0,<8.4
 pytest-dependency==0.5.1
 pytest-html==4.1.1
 pytest-timeout==2.3.1
-jax<=0.4.33
-jaxlib<=0.4.33
+jax<=0.4.35
+jaxlib<=0.4.35
 kornia==0.7.0
 networkx<=3.3
-flax<=0.9.0
+flax<=0.10.0
 
 --extra-index-url https://download.pytorch.org/whl/cpu
 torch~=2.4.1; platform_system != "Darwin" or platform_machine != "x86_64"

tests/layer_tests/jax_tests/test_erfc.py

@@ -0,0 +1,39 @@
+# Copyright (C) 2018-2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import jax
+import numpy as np
+import pytest
+from jax import numpy as jnp
+
+from jax_layer_test_class import JaxLayerTest
+
+rng = np.random.default_rng(109734)
+
+
+class TestErfc(JaxLayerTest):
+    def _prepare_input(self):
+        # erf are mostly changing in a range [-4, 4]
+        x = rng.uniform(-4.0, 4.0, self.input_shape).astype(self.input_type)
+
+        x = jnp.array(x)
+        return [x]
+
+    def create_model(self, input_shape, input_type):
+        self.input_shape = input_shape
+        self.input_type = input_type
+
+        def jax_erfc(x):
+            return jax.lax.erfc(x)
+
+        return jax_erfc, None, 'erfc'
+
+    @pytest.mark.parametrize("input_shape", [[2], [3, 4]])
+    @pytest.mark.parametrize("input_type", [np.float16, np.float32, np.float64])
+    @pytest.mark.nightly
+    @pytest.mark.precommit
+    @pytest.mark.precommit_jax_fe
+    def test_erfc(self, ie_device, precision, ir_version, input_shape, input_type):
+        self._test(*self.create_model(input_shape, input_type),
+                   ie_device, precision,
+                   ir_version)

tests/requirements_tensorflow

@@ -6,10 +6,10 @@ pytest-html==4.1.1
 transformers==4.45.1
 # install exact keras version since tensorflow depends and has no upper bound for it
 keras==3.6.0
-tensorflow==2.17.0; platform_system != "Darwin" or platform_machine != "x86_64"
+tensorflow==2.18.0; platform_system != "Darwin" or platform_machine != "x86_64"
 tensorflow==2.16.2; platform_system == "Darwin" and platform_machine == "x86_64"
 # tensorflow-text is not available for both Windows and ARM platforms
-tensorflow-text==2.17.0; platform_system == "Linux" and platform_machine == "x86_64"
+tensorflow-text==2.18.0rc0; platform_system == "Linux" and platform_machine == "x86_64"
 tensorflow-hub==0.16.1
-jax==0.4.33
+jax==0.4.35
 defusedxml==0.7.1

tools/mo/requirements_tf.txt

@@ -1,6 +1,6 @@
 -c ../constraints.txt
 h5py
-tensorflow>=1.15.5,<2.18.0
+tensorflow>=1.15.5,<2.19.0
 numpy>=1.16.6,<1.27
 networkx
 defusedxml

tools/mo/requirements_tf2.txt

@@ -1,6 +1,6 @@
 -c ../constraints.txt
 h5py
-tensorflow>=2.5,<2.18.0
+tensorflow>=2.5,<2.19.0
 numpy>=1.16.6,<1.27
 networkx
 defusedxml