Home | History | Annotate | Download | only in kernel_tests

Lines Matching refs:math_ops

33 from tensorflow.python.ops import math_ops
60 self._compareGPU(x, y, np.add, math_ops.add)
61 self._compareGPU(x, y, np.subtract, math_ops.subtract)
62 self._compareGPU(x, y, np.multiply, math_ops.multiply)
63 self._compareGPU(x, y + 0.1, np.true_divide, math_ops.truediv)
64 self._compareGPU(x, y + 0.1, np.floor_divide, math_ops.floordiv)
65 self._compareGPU(x, y, np.power, math_ops.pow)
70 self._compareGPU(x, y, np.add, math_ops.add)
71 self._compareGPU(x, y, np.subtract, math_ops.subtract)
72 self._compareGPU(x, y, np.multiply, math_ops.multiply)
73 self._compareGPU(x, y + 0.1, np.true_divide, math_ops.truediv)
78 self._compareGPU(x, y, np.add, math_ops.add)
79 self._compareGPU(x, y, np.subtract, math_ops.subtract)
80 self._compareGPU(x, y, np.multiply, math_ops.multiply)
81 self._compareGPU(x, y + 0.1, np.true_divide, math_ops.truediv)
86 self._compareGPU(x, y, np.add, math_ops.add)
87 self._compareGPU(x, y, np.subtract, math_ops.subtract)
88 self._compareGPU(x, y, np.multiply, math_ops.multiply)
89 self._compareGPU(x, y + 0.1, np.true_divide, math_ops.truediv)
111 self._compare(data, np.abs, math_ops.abs, use_gpu)
112 self._compare(data, np.arccos, math_ops.acos, use_gpu)
113 self._compare(data, np.arcsin, math_ops.asin, use_gpu)
114 self._compare(data, np.arcsinh, math_ops.asinh, use_gpu)
115 self._compare(data_gt_1, np.arccosh, math_ops.acosh, use_gpu)
116 self._compare(data, np.arctan, math_ops.atan, use_gpu)
117 self._compare(data, np.ceil, math_ops.ceil, use_gpu)
118 self._compare(data, np.cos, math_ops.cos, use_gpu)
119 self._compare(data, np.cosh, math_ops.cosh, use_gpu)
120 self._compare(data, np.exp, math_ops.exp, use_gpu)
121 self._compare(data, np.floor, math_ops.floor, use_gpu)
122 self._compare(data, np.log, math_ops.log, use_gpu)
123 self._compare(data, np.log1p, math_ops.log1p, use_gpu)
124 self._compare(data, np.negative, math_ops.negative, use_gpu)
125 self._compare(data, self._rsqrt, math_ops.rsqrt, use_gpu)
126 self._compare(data, np.sin, math_ops.sin, use_gpu)
127 self._compare(data, np.sinh, math_ops.sinh, use_gpu)
128 self._compare(data, np.sqrt, math_ops.sqrt, use_gpu)
129 self._compare(data, np.square, math_ops.square, use_gpu)
130 self._compare(data, np.tan, math_ops.tan, use_gpu)
131 self._compare(data, np.tanh, math_ops.tanh, use_gpu)
132 self._compare(data, np.arctanh, math_ops.atanh, use_gpu)
150 out_func2 = math_ops.floor(ofunc)
228 self._compareGradientX(x, y, np.true_divide, math_ops.truediv)
229 self._compareGradientY(x, y, np.true_divide, math_ops.truediv)
230 self._compareGpu(x, y, np.true_divide, math_ops.truediv)
231 self._compareGpu(x, y + 0.1, np.floor_divide, math_ops.floordiv)
247 x1 = math_ops.multiply(data, matrix1, name='x1')
248 x3 = math_ops.matmul(x1, math_ops.matmul(matrix2, matrix1))
249 x4 = math_ops.matmul(array_ops.transpose(x3), x3, name='x4')