(The parenthesis contains the according Numpy equivalence)
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trax.tf_numpy.numpy.array_opstrax.tf_numpy.numpy.array_ops.array(np.array)trax.tf_numpy.numpy.array_ops.asarray(np.asarray)trax.tf_numpy.numpy.array_ops.asanyarray(np.asanyarray)trax.tf_numpy.numpy.array_ops.ascontiguousarray(np.ascontiguousarray)trax.tf_numpy.numpy.array_ops.arange(np.arange)trax.tf_numpy.numpy.array_ops.all(np.all)trax.tf_numpy.numpy.array_ops.any(np.any)trax.tf_numpy.numpy.array_ops.around(np.around)trax.tf_numpy.numpy.array_ops.amax(np.amax)trax.tf_numpy.numpy.array_ops.amin(np.amin)trax.tf_numpy.numpy.array_ops.atleast_1d(np.atleast_1d)trax.tf_numpy.numpy.array_ops.atleast_2d(np.atleast_2d)trax.tf_numpy.numpy.array_ops.atleast_3d(np.atleast_3d)trax.tf_numpy.numpy.array_ops.broadcast_to(np.broadcast_to)trax.tf_numpy.numpy.array_ops.compress(np.compress)trax.tf_numpy.numpy.array_ops.copy(np.copy)trax.tf_numpy.numpy.array_ops.cumprod(np.cumprod)trax.tf_numpy.numpy.array_ops.cumsum(np.cumsum)trax.tf_numpy.numpy.array_ops.diag(np.diag)trax.tf_numpy.numpy.array_ops.diagonal(np.diagonal)trax.tf_numpy.numpy.array_ops.dstack(np.dstack)trax.tf_numpy.numpy.array_ops.diagflat(np.diagflat)trax.tf_numpy.numpy.array_ops.diag_indices(np.diag_indices)trax.tf_numpy.numpy.array_ops.expand_dims(np.expand_dims)trax.tf_numpy.numpy.array_ops.empty(np.empty)trax.tf_numpy.numpy.array_ops.empty_like(np.empty_like)trax.tf_numpy.numpy.array_ops.eye(np.eye)trax.tf_numpy.numpy.array_ops.full(np.full)trax.tf_numpy.numpy.array_ops.full_like(np.full_like)trax.tf_numpy.numpy.array_ops.flip(np.flip)trax.tf_numpy.numpy.array_ops.flipud(np.flipud)trax.tf_numpy.numpy.array_ops.fliplr(np.fliplr)trax.tf_numpy.numpy.array_ops.geomspace(np.geomspace)trax.tf_numpy.numpy.array_ops.hstack(np.hstack)trax.tf_numpy.numpy.array_ops.imag(np.imag)trax.tf_numpy.numpy.array_ops.isscalar(np.isscalar)trax.tf_numpy.numpy.array_ops.identity(np.identity)trax.tf_numpy.numpy.array_ops.ix_(np.ix_)trax.tf_numpy.numpy.array_ops.moveaxis(np.moveaxis)trax.tf_numpy.numpy.array_ops.mean(np.mean)trax.tf_numpy.numpy.array_ops.ndim(np.ndim)trax.tf_numpy.numpy.array_ops.nonzero(np.nonzero)trax.tf_numpy.numpy.array_ops.ones(np.ones)trax.tf_numpy.numpy.array_ops.ones_like(np.ones_like)trax.tf_numpy.numpy.array_ops.pad(np.pad)trax.tf_numpy.numpy.array_ops.prod(np.prod)trax.tf_numpy.numpy.array_ops.ravel(np.ravel)trax.tf_numpy.numpy.array_ops.real(np.real)trax.tf_numpy.numpy.array_ops.repeat(np.repeat)trax.tf_numpy.numpy.array_ops.reshape(np.reshape)trax.tf_numpy.numpy.array_ops.roll(np.roll)trax.tf_numpy.numpy.array_ops.rot90(np.rot90)trax.tf_numpy.numpy.array_ops.select(np.select)trax.tf_numpy.numpy.array_ops.shape(np.shape)trax.tf_numpy.numpy.array_ops.swapaxes(np.swapaxes)trax.tf_numpy.numpy.array_ops.split(np.split)trax.tf_numpy.numpy.array_ops.squeeze(np.squeeze)trax.tf_numpy.numpy.array_ops.sum(np.sum)trax.tf_numpy.numpy.array_ops.std(np.std)trax.tf_numpy.numpy.array_ops.stack(np.stack)trax.tf_numpy.numpy.array_ops.transpose(np.transpose)trax.tf_numpy.numpy.array_ops.take(np.take)trax.tf_numpy.numpy.array_ops.tri(np.tri)trax.tf_numpy.numpy.array_ops.tril(np.tril)trax.tf_numpy.numpy.array_ops.triu(np.triu)trax.tf_numpy.numpy.array_ops.var(np.var)trax.tf_numpy.numpy.array_ops.vander(np.vander)trax.tf_numpy.numpy.array_ops.vstack(np.vstack)trax.tf_numpy.numpy.array_ops.where(np.where)trax.tf_numpy.numpy.array_ops.zeros(np.zeros)trax.tf_numpy.numpy.array_ops.zeros_like(np.zeros_like)
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trax.tf_numpy.numpy.arraystrax.tf_numpy.numpy.arrays.ndarray
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trax.tf_numpy.numpy.math_opstrax.tf_numpy.numpy.math_ops.abs(np.abs)trax.tf_numpy.numpy.math_ops.absolute(np.absolute)trax.tf_numpy.numpy.math_ops.add(np.add)trax.tf_numpy.numpy.math_ops.angle(np.angle)trax.tf_numpy.numpy.math_ops.arctan2(np.arctan2)trax.tf_numpy.numpy.math_ops.arcsin(np.arcsin)trax.tf_numpy.numpy.math_ops.arccos(np.arccos)trax.tf_numpy.numpy.math_ops.arccosh(np.arccosh)trax.tf_numpy.numpy.math_ops.arctan(np.arctan)trax.tf_numpy.numpy.math_ops.arctanh(np.arctanh)trax.tf_numpy.numpy.math_ops.arcsinh(np.arcsinh)trax.tf_numpy.numpy.math_ops.array_equal(np.array_equal)trax.tf_numpy.numpy.math_ops.average(np.average)trax.tf_numpy.numpy.math_ops.argsort(np.argsort)trax.tf_numpy.numpy.math_ops.argmax(np.argmin)trax.tf_numpy.numpy.math_ops.argmin(np.argmin)trax.tf_numpy.numpy.math_ops.append(np.append)trax.tf_numpy.numpy.math_ops.allclose(np.allclose)trax.tf_numpy.numpy.math_ops.bitwise_and(np.bitwise_and)trax.tf_numpy.numpy.math_ops.bitwise_or(np.bitwise_or)trax.tf_numpy.numpy.math_ops.bitwise_xor(np.bitwise_xor)trax.tf_numpy.numpy.math_ops.bitwise_not(np.bitwise_not)trax.tf_numpy.numpy.math_ops.cbrt(np.cbrt)trax.tf_numpy.numpy.math_ops.ceil(np.ceil)trax.tf_numpy.numpy.math_ops.conj(np.conj)trax.tf_numpy.numpy.math_ops.count_nonzero(np.count_nonzero)trax.tf_numpy.numpy.math_ops.conjugate(np.conjugate)trax.tf_numpy.numpy.math_ops.concatenate(np.concatenate)trax.tf_numpy.numpy.math_ops.cos(np.cos)trax.tf_numpy.numpy.math_ops.cosh(np.cosh)trax.tf_numpy.numpy.math_ops.clip(np.clip)trax.tf_numpy.numpy.math_ops.cross(np.cross)trax.tf_numpy.numpy.math_ops.dot(np.dot)trax.tf_numpy.numpy.math_ops.divmod(np.divmod)trax.tf_numpy.numpy.math_ops.diff(np.diff)trax.tf_numpy.numpy.math_ops.deg2rad(np.arctan)trax.tf_numpy.numpy.math_ops.exp(np.exp)trax.tf_numpy.numpy.math_ops.exp2(np.exp2)trax.tf_numpy.numpy.math_ops.expm1(np.expm1)trax.tf_numpy.numpy.math_ops.equal(np.equal)trax.tf_numpy.numpy.math_ops.fabs(np.fabs)trax.tf_numpy.numpy.math_ops.fix(np.fix)trax.tf_numpy.numpy.math_ops.floor(np.floor)trax.tf_numpy.numpy.math_ops.floor_divide(np.floor_divide)trax.tf_numpy.numpy.math_ops.gcd(np.gcd)trax.tf_numpy.numpy.math_ops.greater(np.greater)trax.tf_numpy.numpy.math_ops.greater_equal(np.greater_equal)trax.tf_numpy.numpy.math_ops.heaviside(np.heaviside)trax.tf_numpy.numpy.math_ops.hypot(np.hypot)trax.tf_numpy.numpy.math_ops.isclose(np.isclose)trax.tf_numpy.numpy.math_ops.inner(np.inner)trax.tf_numpy.numpy.math_ops.iscomplete(np.iscomplete)trax.tf_numpy.numpy.math_ops.isreal(np.isreal)trax.tf_numpy.numpy.math_ops.isrealobj(np.isrealobj)trax.tf_numpy.numpy.math_ops.iscomplexobj(np.iscomplexobj)trax.tf_numpy.numpy.math_ops.isnan(np.isnan)trax.tf_numpy.numpy.math_ops.isfinite(np.isfinite)trax.tf_numpy.numpy.math_ops.isinf(np.isinf)trax.tf_numpy.numpy.math_ops.isneginf(np.isneginf)trax.tf_numpy.numpy.math_ops.isposinf(np.isposinf)trax.tf_numpy.numpy.math_ops.kron(np.kron)trax.tf_numpy.numpy.math_ops.lcm(np.lcm)trax.tf_numpy.numpy.math_ops.less(np.less)trax.tf_numpy.numpy.math_ops.less_equal(np.less_equal)trax.tf_numpy.numpy.math_ops.log(np.log)trax.tf_numpy.numpy.math_ops.log2(np.log2)trax.tf_numpy.numpy.math_ops.log10(np.log10)trax.tf_numpy.numpy.math_ops.log1p(np.log1p)trax.tf_numpy.numpy.math_ops.logaddexp(np.logaddexp)trax.tf_numpy.numpy.math_ops.logaddexp2(np.logaddexp2)trax.tf_numpy.numpy.math_ops.logical_and(np.logical_and)trax.tf_numpy.numpy.math_ops.logical_or(np.logical_or)trax.tf_numpy.numpy.math_ops.logical_xor(np.logical_xor)trax.tf_numpy.numpy.math_ops.logical_not(np.logical_not)trax.tf_numpy.numpy.math_ops.linspace(np.linspace)trax.tf_numpy.numpy.math_ops.logspace(np.logspace)trax.tf_numpy.numpy.math_ops.minimum(np.minimum)trax.tf_numpy.numpy.math_ops.maximum(np.maximum)trax.tf_numpy.numpy.math_ops.matmul(np.matmul)trax.tf_numpy.numpy.math_ops.mod(np.mod)trax.tf_numpy.numpy.math_ops.meshgrid(np.meshgrid)trax.tf_numpy.numpy.math_ops.multiply(np.multiply)trax.tf_numpy.numpy.math_ops.negative(np.negative)trax.tf_numpy.numpy.math_ops.nanmean(np.nanmean)trax.tf_numpy.numpy.math_ops.not_equal(np.not_equal)trax.tf_numpy.numpy.math_ops.nextafter(np.nextafter)trax.tf_numpy.numpy.math_ops.outer(np.outer)trax.tf_numpy.numpy.math_ops.ptp(np.ptp)trax.tf_numpy.numpy.math_ops.power(np.power)trax.tf_numpy.numpy.math_ops.polyval(np.polyval)trax.tf_numpy.numpy.math_ops.postive(np.positive)trax.tf_numpy.numpy.math_ops.reciprocal(np.reciprocal)trax.tf_numpy.numpy.math_ops.rad2deg(np.rad2deg)trax.tf_numpy.numpy.math_ops.subtract(np.subtract)trax.tf_numpy.numpy.math_ops.sin(np.sin)trax.tf_numpy.numpy.math_ops.sinc(np.sinc)trax.tf_numpy.numpy.math_ops.sqrt(np.sqrt)trax.tf_numpy.numpy.math_ops.square(np.square)trax.tf_numpy.numpy.math_ops.sort(np.sort)trax.tf_numpy.numpy.math_ops.signbit(np.signbit)trax.tf_numpy.numpy.math_ops.sinh(np.sinh)trax.tf_numpy.numpy.math_ops.tan(np.tan)trax.tf_numpy.numpy.math_ops.tanh(np.tanh)trax.tf_numpy.numpy.math_ops.trace(np.trace)trax.tf_numpy.numpy.math_ops.tensordot(np.tensordot)trax.tf_numpy.numpy.math_ops.tile(np.tile)trax.tf_numpy.numpy.math_ops.true_divide(np.true_divide)
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trax.tf_numpy.numpy.randomtrax.tf_numpy.numpy.random.seed(np.random.seed)trax.tf_numpy.numpy.random.randn(np.random.randn)trax.tf_numpy.numpy.random.DEFAULT_RANDN_DTYPE
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trax.tf_numpy.numpy.utilstrax.tf_numpy.numpy.utils.np_doc