[OpenVINO backend] Support numpy.deg2rad (keras-team#21524)

* feat: deg2rad for openvino backend

* feat: included tests for deg2rad

* fix: replaced pi with np.pi for numerical stability

Author: samthakur587

keras/src/backend/openvino/excluded_concrete_tests.txt

@@ -22,7 +22,6 @@ NumpyDtypeTest::test_correlate
 NumpyDtypeTest::test_cross
 NumpyDtypeTest::test_cumprod
 NumpyDtypeTest::test_cumsum_bool
-NumpyDtypeTest::test_deg2rad
 NumpyDtypeTest::test_diag
 NumpyDtypeTest::test_digitize
 NumpyDtypeTest::test_einsum
@@ -86,7 +85,6 @@ NumpyOneInputOpsCorrectnessTest::test_conj
 NumpyOneInputOpsCorrectnessTest::test_corrcoef
 NumpyOneInputOpsCorrectnessTest::test_correlate
 NumpyOneInputOpsCorrectnessTest::test_cumprod
-NumpyOneInputOpsCorrectnessTest::test_deg2rad
 NumpyOneInputOpsCorrectnessTest::test_diag
 NumpyOneInputOpsCorrectnessTest::test_diagonal
 NumpyOneInputOpsCorrectnessTest::test_exp2
@@ -154,14 +152,12 @@ NumpyOneInputOpsDynamicShapeTest::test_bartlett
 NumpyOneInputOpsDynamicShapeTest::test_blackman
 NumpyOneInputOpsDynamicShapeTest::test_cbrt
 NumpyOneInputOpsDynamicShapeTest::test_corrcoef
-NumpyOneInputOpsDynamicShapeTest::test_deg2rad
 NumpyOneInputOpsDynamicShapeTest::test_hamming
 NumpyOneInputOpsDynamicShapeTest::test_hanning
 NumpyOneInputOpsDynamicShapeTest::test_isneginf
 NumpyOneInputOpsDynamicShapeTest::test_kaiser
 NumpyOneInputOpsStaticShapeTest::test_angle
 NumpyOneInputOpsStaticShapeTest::test_cbrt
-NumpyOneInputOpsStaticShapeTest::test_deg2rad
 NumpyOneInputOpsStaticShapeTest::test_isneginf
 NumpyTwoInputOpsDynamicShapeTest::test_heaviside
 NumpyTwoInputOpsDynamicShapeTest::test_isin

keras/src/backend/openvino/numpy.py

@@ -653,9 +653,24 @@ def cumsum(x, axis=None, dtype=None):
 
 
 def deg2rad(x):
-    raise NotImplementedError(
-        "`deg2rad` is not supported with openvino backend"
-    )
+    x = get_ov_output(x)
+    x_type = x.get_element_type()
+    pi_over_180 = np.pi / 180.0
+
+    if x_type == Type.i64:
+        output_type = Type.f64
+    elif x_type.is_integral():
+        output_type = OPENVINO_DTYPES[config.floatx()]
+    else:
+        output_type = x_type
+
+    if x_type != output_type:
+        x = ov_opset.convert(x, output_type)
+
+    const_pi_over_180 = ov_opset.constant(pi_over_180, output_type).output(0)
+    result = ov_opset.multiply(x, const_pi_over_180).output(0)
+
+    return OpenVINOKerasTensor(result)
 
 
 def diag(x, k=0):