from theano import config


from theano.tensor.blas import ldflags, blas_header_text, blas_header_version
from theano.tensor.blas import blas_optdb, optdb, local_optimizer, EquilibriumOptimizer
from theano.tensor.blas import Ger, ger, ger_destructive
from theano.tensor.blas import Gemv, gemv_inplace, gemv_no_inplace


class BaseBLAS(object):
    def c_libraries(self):
        return ldflags()

    def c_compile_args(self):
        return ldflags(libs=False, flags=True)

    def c_lib_dirs(self):
        return ldflags(libs=False, libs_dir=True)

    def c_header_dirs(self):
        return ldflags(libs=False, include_dir=True)

    def c_support_code(self):
        return blas_header_text()


####### ####### #######
# GER
####### ####### #######

def ger_c_code(A, a, x, y, Z, destructive, fail):
    return """

    int elemsize ;

    if (PyArray_NDIM(%(A)s) != 2)
    {PyErr_SetString(PyExc_NotImplementedError, "rank(A) != 2"); %(fail)s;}
    if (PyArray_NDIM(%(x)s) != 1)
    {PyErr_SetString(PyExc_NotImplementedError, "rank(x) != 1"); %(fail)s;}
    if (PyArray_NDIM(%(y)s) != 1)
    {PyErr_SetString(PyExc_NotImplementedError, "rank(y) != 1"); %(fail)s;}
    if (PyArray_NDIM(%(a)s) != 0)
    {PyErr_SetString(PyExc_NotImplementedError, "rank(a) != 0"); %(fail)s;}

    if (PyArray_DESCR(%(A)s)->type_num != PyArray_DESCR(%(x)s)->type_num)
    { PyErr_SetString(PyExc_TypeError, "A vs. x"); %(fail)s; }
    if (PyArray_DESCR(%(A)s)->type_num != PyArray_DESCR(%(y)s)->type_num)
    { PyErr_SetString(PyExc_TypeError, "A vs. y"); %(fail)s; }

    if (PyArray_DIMS(%(A)s)[0] != PyArray_DIMS(%(x)s)[0])
    {
        PyErr_SetString(PyExc_ValueError,
                        "Shape mismatch: A.shape[0] != x.shape[0]");
        %(fail)s;
    }
    if (PyArray_DIMS(%(A)s)[1] != PyArray_DIMS(%(y)s)[0])
    {
        PyErr_SetString(PyExc_ValueError,
                        "Shape mismatch: A.shape[1] != y.shape[0]");
        %(fail)s;
    }

    if  (PyArray_DESCR(%(A)s)->type_num == NPY_DOUBLE) { elemsize = 8; }
    else if (PyArray_DESCR(%(A)s)->type_num == NPY_FLOAT) { elemsize = 4;}
    else
    {
        PyErr_SetString(PyExc_NotImplementedError, "complex CGer");
        %(fail)s;
    }

    // copy A if !self.destructive or A is fully strided
    if (!%(destructive)s
        || (PyArray_STRIDES(%(A)s)[0] < 0)
        || (PyArray_STRIDES(%(A)s)[1] < 0)
        || ((PyArray_STRIDES(%(A)s)[0] != elemsize)
            && (PyArray_STRIDES(%(A)s)[1] != elemsize)))
    {
        npy_intp dims[2];
        dims[0] = PyArray_DIMS(%(A)s)[0];
        dims[1] = PyArray_DIMS(%(A)s)[1];

        if ((NULL == %(Z)s)
            || (PyArray_DIMS(%(Z)s)[0] != PyArray_DIMS(%(A)s)[0])
            || (PyArray_DIMS(%(Z)s)[1] != PyArray_DIMS(%(A)s)[1])
            || (PyArray_STRIDES(%(Z)s)[0] < 0)
            || (PyArray_STRIDES(%(Z)s)[1] < 0)
            || ((PyArray_STRIDES(%(Z)s)[0] != elemsize)
                && (PyArray_STRIDES(%(Z)s)[1] != elemsize)))
        {
            if (%(Z)s) Py_XDECREF(%(Z)s);
            %(Z)s = (PyArrayObject*) PyArray_SimpleNew(2, dims,
                                                       PyArray_TYPE(%(A)s));
            if(!%(Z)s) {
                PyErr_SetString(PyExc_MemoryError,
                                "failed to alloc ger output");
                %(fail)s
            }
        }
        if (%(Z)s == %(A)s)
        {
            PyErr_SetString(PyExc_AssertionError, "%(Z)s != %(A)s");
            %(fail)s
        }
        if (PyArray_DESCR(%(Z)s)->type_num == NPY_FLOAT)
        {
            float * zoutdata = (float*)PyArray_DATA(%(Z)s);
            const float * zdata = (float*)PyArray_DATA(%(A)s);
            int Ai = PyArray_STRIDES(%(A)s)[0]/sizeof(float);
            int Aj = PyArray_STRIDES(%(A)s)[1]/sizeof(float);
            int Zi = PyArray_STRIDES(%(Z)s)[0]/sizeof(float);
            int Zj = PyArray_STRIDES(%(Z)s)[1]/sizeof(float);
            for (int i = 0; i < dims[0]; ++i)
            {
                for (int j = 0; j < dims[1]; ++j)
                {
                    zoutdata[Zi*i+Zj*j] = zdata[Ai*i+Aj*j];
                }
            }
        }
        else if (PyArray_DESCR(%(Z)s)->type_num == NPY_DOUBLE)
        {
            double * zoutdata = (double*) PyArray_DATA(%(Z)s);
            const double * zdata = (double*)PyArray_DATA(%(A)s);
            int Ai = PyArray_STRIDES(%(A)s)[0]/sizeof(double);
            int Aj = PyArray_STRIDES(%(A)s)[1]/sizeof(double);
            int Zi = PyArray_STRIDES(%(Z)s)[0]/sizeof(double);
            int Zj = PyArray_STRIDES(%(Z)s)[1]/sizeof(double);
            for (int i = 0; i < dims[0]; ++i)
            {
                for (int j = 0; j < dims[1]; ++j)
                {
                    zoutdata[Zi*i+Zj*j] = zdata[Ai*i+Aj*j];
                }
            }
        }
        else
        {
            PyErr_SetString(PyExc_AssertionError,
                            "neither float nor double dtype");
            %(fail)s
        }
    }
    else
    {
        //fprintf(stderr, "USING A\\n");
        if (%(Z)s != %(A)s)
        {
            if (%(Z)s) { Py_DECREF(%(Z)s); }
            %(Z)s = %(A)s;
            Py_INCREF(%(Z)s);
        }
    }

    {
        int Nz0 = PyArray_DIMS(%(Z)s)[0];
        int Nz1 = PyArray_DIMS(%(Z)s)[1];
        int Sx = PyArray_STRIDES(%(x)s)[0] / elemsize;
        int Sy = PyArray_STRIDES(%(y)s)[0] / elemsize;

        /* create appropriate strides for Z, if it is a row or column matrix.
         * In that case, the value of the stride does not really matter, but
         * some versions of BLAS insist that:
         *  - they are not smaller than the number of elements in the array,
         *  - they are not 0.
         */
        int Sz0 = (Nz0 > 1) ? (PyArray_STRIDES(%(Z)s)[0] / elemsize) : (Nz1 + 1);
        int Sz1 = (Nz1 > 1) ? (PyArray_STRIDES(%(Z)s)[1] / elemsize) : (Nz0 + 1);

        dtype_%(x)s* x_data = (dtype_%(x)s*) PyArray_DATA(%(x)s);
        dtype_%(y)s* y_data = (dtype_%(y)s*) PyArray_DATA(%(y)s);
        // gemv expects pointers to the beginning of memory arrays,
        // but numpy provides provides a pointer to the first element,
        // so when the stride is negative, we need to get the last one.
        if (Sx < 0)
            x_data += (Nz0 - 1) * Sx;
        if (Sy < 0)
            y_data += (Nz1 - 1) * Sy;

        if (PyArray_STRIDES(%(Z)s)[0] == elemsize)
        {
            if (PyArray_DESCR(%(Z)s)->type_num == NPY_FLOAT)
            {
                //fprintf(stderr, "A\\n");
                float alpha = ((dtype_%(a)s*)PyArray_DATA(%(a)s))[0];
                sger_(&Nz0, &Nz1, &alpha,
                    (float*)x_data, &Sx,
                    (float*)y_data, &Sy,
                    (float*)(PyArray_DATA(%(Z)s)), &Sz1);
            }
            else if (PyArray_DESCR(%(Z)s)->type_num == NPY_DOUBLE)
            {
                double alpha = ((dtype_%(a)s*)PyArray_DATA(%(a)s))[0];
                dger_(&Nz0, &Nz1, &alpha,
                    (double*)x_data, &Sx,
                    (double*)y_data, &Sy,
                    (double*)(PyArray_DATA(%(Z)s)), &Sz1);
            }
            else {
                PyErr_SetString(PyExc_NotImplementedError,
                                "not float nor double");
                %(fail)s
            }
        }
        else if (PyArray_STRIDES(%(Z)s)[1] == elemsize)
        {
            if (PyArray_DESCR(%(Z)s)->type_num == NPY_FLOAT)
            {
                //fprintf(stderr, "B %%i %%i %%i %%i\\n", Nz0, Nz1, Sz0, Sz1);
                float alpha = ((dtype_%(a)s*)(PyArray_DATA(%(a)s)))[0];
                //fprintf(stderr, "alpha=%%f\\n", alpha);
                //fprintf(stderr, "sx  sy %%i %%i\\n", Sx, Sy);
                sger_(&Nz1, &Nz0, &alpha,
                    (float*)y_data, &Sy,
                    (float*)x_data, &Sx,
                    (float*)(PyArray_DATA(%(Z)s)), &Sz0);
            }
            else if (PyArray_DESCR(%(Z)s)->type_num == NPY_DOUBLE)
            {
                double alpha = ((dtype_%(a)s*)PyArray_DATA(%(a)s))[0];
                dger_(&Nz1, &Nz0, &alpha,
                    (double*)y_data, &Sy,
                    (double*)x_data, &Sx,
                    (double*)(PyArray_DATA(%(Z)s)), &Sz0);
            }
            else
            {
                PyErr_SetString(PyExc_NotImplementedError,
                                "not float nor double");
                %(fail)s
            }
        }
        else
        {
            PyErr_SetString(PyExc_AssertionError,
                "A is a double-strided matrix, and should have been copied "
                "into a memory-contiguous one.");
            %(fail)s
        }
    }

    """ % locals()


class CGer(BaseBLAS, Ger):
    def c_code(self, node, name, inp, out, sub):
        A, a, x, y = inp
        Z, = out
        code = ger_c_code(A, a, x, y, Z,
            destructive=int(self.destructive),
            fail=sub['fail'])
        return code

    def c_code_cache_version(self):
        return (8, blas_header_version())


@local_optimizer([ger, ger_destructive])
def use_c_ger(node):
    if not config.blas.ldflags:
        return
    # Only float32 and float64 are supported for now.
    if (node.op == ger and
            node.outputs[0].dtype in ['float32', 'float64']):
        return [CGer(False)(*node.inputs)]
    if (node.op == ger_destructive and
            node.outputs[0].dtype in ['float32', 'float64']):
        return [CGer(True)(*node.inputs)]


@local_optimizer([CGer(False)])
def make_c_ger_destructive(node):
    if node.op == CGer(False):
        return [CGer(True)(*node.inputs)]


####### ####### #######
# GEMV
####### ####### #######


def gemv_c_code(aa, xx, yy, zz, alpha, beta, destructive, fail):
    """
    zz <- beta * aa + alpha * dot(xx, yy)

    where xx is a matrix, yy and aa are vectors (ergo zz is vector)
    """
    return """

    int elemsize ;
    float fbeta;
    double dbeta;

    if (PyArray_NDIM(%(aa)s) != 1)
    {
        PyErr_SetString(PyExc_NotImplementedError, "Gemv: rank(aa) != 1");
        %(fail)s;
    }
    if (PyArray_NDIM(%(xx)s) != 2)
    {
        PyErr_SetString(PyExc_NotImplementedError, "Gemv: rank(xx) != 2");
        %(fail)s;
    }
    if (PyArray_NDIM(%(yy)s) != 1)
    {
        PyErr_SetString(PyExc_NotImplementedError, "Gemv: rank(yy) != 1");
        %(fail)s;
    }
    if (PyArray_NDIM(%(alpha)s) != 0)
    {
        PyErr_SetString(PyExc_NotImplementedError, "Gemv: rank(alpha) != 0");
        %(fail)s;
    }
    if (PyArray_NDIM(%(beta)s) != 0)
    {
        PyErr_SetString(PyExc_NotImplementedError, "Gemv: rank(beta) != 0");
        %(fail)s;
    }

    if (PyArray_DESCR(%(aa)s)->type_num != PyArray_DESCR(%(xx)s)->type_num)
    { PyErr_SetString(PyExc_TypeError, "Gemv: aa vs. xx"); %(fail)s; }
    if (PyArray_DESCR(%(aa)s)->type_num != PyArray_DESCR(%(yy)s)->type_num)
    { PyErr_SetString(PyExc_TypeError, "Gemv: aa vs. yy"); %(fail)s; }

    if (PyArray_DIMS(%(xx)s)[0] != PyArray_DIMS(%(aa)s)[0])
    {
        PyErr_SetString(PyExc_ValueError,
                        "Shape mismatch: A.shape[0] != x.shape[0]");
        %(fail)s;
    }
    if (PyArray_DIMS(%(xx)s)[1] != PyArray_DIMS(%(yy)s)[0])
    {
        PyErr_SetString(PyExc_ValueError,
                        "Shape mismatch: A.shape[1] != y.shape[0]");
        %(fail)s;
    }

    if  (PyArray_DESCR(%(aa)s)->type_num == NPY_DOUBLE) { elemsize = 8; }
    else if (PyArray_DESCR(%(aa)s)->type_num == NPY_FLOAT) { elemsize = 4;}
    else {
        PyErr_SetString(PyExc_NotImplementedError, "complex Gemv");
        %(fail)s;
    }

    fbeta = dbeta = ((dtype_%(beta)s*)PyArray_DATA(%(beta)s))[0];

    // copy aa if not destructive
    if (!%(destructive)s)
    {
        if ((NULL == %(zz)s)
            || (PyArray_DIMS(%(zz)s)[0] != PyArray_DIMS(%(aa)s)[0]))
        {
            if (%(zz)s) Py_XDECREF(%(zz)s);
            %(zz)s = (PyArrayObject*)PyArray_SimpleNew(1,
                PyArray_DIMS(%(aa)s), type_num_%(aa)s);
            if(!%(zz)s) {
                PyErr_SetString(PyExc_MemoryError,
                                "failed to alloc gemv output");
                %(fail)s
            }
        }
        if (%(zz)s == %(aa)s)
        {
            PyErr_SetString(PyExc_AssertionError, "%(zz)s != %(aa)s");
            %(fail)s
        }
        if (dbeta != 0)
        {
            if (PyArray_DESCR(%(zz)s)->type_num == NPY_FLOAT)
            {
                float * zoutdata = (float*)PyArray_DATA(%(zz)s);
                const float * zdata = (float*)PyArray_DATA(%(aa)s);
                int Ai = PyArray_STRIDES(%(aa)s)[0]/sizeof(float);
                int Zi = PyArray_STRIDES(%(zz)s)[0]/sizeof(float);
                for (int i = 0; i < PyArray_DIMS(%(aa)s)[0]; ++i)
                {
                    zoutdata[Zi*i] = fbeta * zdata[Ai*i];
                }
            }
            else if (PyArray_DESCR(%(xx)s)->type_num == NPY_DOUBLE)
            {
                double * zoutdata = (double*) PyArray_DATA(%(zz)s);
                const double * zdata = (double*)PyArray_DATA(%(aa)s);
                int Ai = PyArray_STRIDES(%(aa)s)[0]/sizeof(double);
                int Zi = PyArray_STRIDES(%(zz)s)[0]/sizeof(double);
                for (int i = 0; i < PyArray_DIMS(%(aa)s)[0]; ++i)
                {
                    zoutdata[Zi*i] = dbeta * zdata[Ai*i];
                }
            }
            else
            {
                PyErr_SetString(PyExc_AssertionError,
                                "neither float nor double dtype");
                %(fail)s
            }
            fbeta = dbeta = 1.0;
        }
    }
    else
    {
        //fprintf(stderr, "Gemv working in-place \\n");
        if (%(zz)s != %(aa)s)
        {
            if (%(zz)s) { Py_DECREF(%(zz)s); }
            %(zz)s = %(aa)s;
            Py_INCREF(%(zz)s);
        }
    }
    {
        char TRANS = 'T';
        char NOTRANS = 'N';
        int Nx0 = PyArray_DIMS(%(xx)s)[0];
        int Nx1 = PyArray_DIMS(%(xx)s)[1];
        /* This formula is needed in the case where xx is actually a row or
         * column matrix, because BLAS sometimes insists that the strides:
         *  - are not smaller than the number of elements in the array
         *  - are not 0.
         */
        int Sx0 = (Nx0 > 1) ? (PyArray_STRIDES(%(xx)s)[0] / elemsize) : (Nx1 + 1);
        int Sx1 = (Nx1 > 1) ? (PyArray_STRIDES(%(xx)s)[1] / elemsize) : (Nx0 + 1);
        int Sz = PyArray_STRIDES(%(zz)s)[0] / elemsize;
        int Sy = PyArray_STRIDES(%(yy)s)[0] / elemsize;

        dtype_%(yy)s* yy_data = (dtype_%(yy)s*) PyArray_DATA(%(yy)s);
        dtype_%(zz)s* zz_data = (dtype_%(zz)s*) PyArray_DATA(%(zz)s);
        // gemv expects pointers to the beginning of memory arrays,
        // but numpy provides provides a pointer to the first element,
        // so when the stride is negative, we need to get the last one.
        if (Sy < 0)
            yy_data += (Nx1 - 1) * Sy;
        if (Sz < 0)
            zz_data += (Nx0 - 1) * Sz;

        if (Nx0 * Nx1)
        {
            // If xx is neither C- nor F-contiguous, we make a copy.
            // TODO:
            // - if one stride is equal to "- elemsize", we can still call
            //   gemv on reversed matrix and vectors
            // - if the copy is too long, maybe call vector/vector dot on
            //   each row instead
            if ((PyArray_STRIDES(%(xx)s)[0] < 0)
                || (PyArray_STRIDES(%(xx)s)[1] < 0)
                || ((PyArray_STRIDES(%(xx)s)[0] != elemsize)
                    && (PyArray_STRIDES(%(xx)s)[1] != elemsize)))
            {
                npy_intp dims[2];
                dims[0] = Nx0;
                dims[1] = Nx1;

                PyArrayObject * xx_copy = (PyArrayObject *) PyArray_Copy(
                                                                    %(xx)s);
                if (!xx_copy)
                    %(fail)s
                Py_XDECREF(%(xx)s);
                %(xx)s = xx_copy;
                Sx0 = (Nx0 > 1) ? (PyArray_STRIDES(%(xx)s)[0] / elemsize) : (Nx1 + 1);
                Sx1 = (Nx1 > 1) ? (PyArray_STRIDES(%(xx)s)[1] / elemsize) : (Nx0 + 1);
            }

            if (PyArray_STRIDES(%(xx)s)[0] == elemsize)
            {
                if (PyArray_DESCR(%(xx)s)->type_num == NPY_FLOAT)
                {
                    //fprintf(stderr, "A\\n");
                    float alpha = ((dtype_%(alpha)s*)PyArray_DATA(%(alpha)s))[0];
                    sgemv_(&NOTRANS, &Nx0, &Nx1,
                        &alpha,
                        (float*)(PyArray_DATA(%(xx)s)), &Sx1,
                        (float*)yy_data, &Sy,
                        &fbeta,
                        (float*)zz_data, &Sz);
                }
                else if (PyArray_DESCR(%(xx)s)->type_num == NPY_DOUBLE)
                {
                    double alpha = ((dtype_%(alpha)s*)PyArray_DATA(%(alpha)s))[0];
                    dgemv_(&NOTRANS, &Nx0, &Nx1,
                        &alpha,
                        (double*)(PyArray_DATA(%(xx)s)), &Sx1,
                        (double*)yy_data, &Sy,
                        &dbeta,
                        (double*)zz_data, &Sz);
                }
                else
                {
                    PyErr_SetString(PyExc_AssertionError,
                                    "neither float nor double dtype");
                    %(fail)s
                }
            }
            else if (PyArray_STRIDES(%(xx)s)[1] == elemsize)
            {
                if (PyArray_DESCR(%(xx)s)->type_num == NPY_FLOAT)
                {
                    float alpha = ((dtype_%(alpha)s*)PyArray_DATA(%(alpha)s))[0];

                    // Check for vector-vector dot (Nx0 == 1). The code may work
                    // for Sx1 != 1 as well, but has not been tested for this case,
                    // so Sx1 == 1 is required for safety.
                    if (Nx0 == 1 && Sx1 == 1)
                    {
                        zz_data[0] = fbeta*zz_data[0] + alpha*sdot_(&Nx1, 
                            (float*)(PyArray_DATA(%(xx)s)), &Sx1,
                            (float*)yy_data, &Sy);
                    }
                    else
                    {
                        sgemv_(&TRANS, &Nx1, &Nx0,
                            &alpha,
                            (float*)(PyArray_DATA(%(xx)s)), &Sx0,
                            (float*)yy_data, &Sy,
                            &fbeta,
                            (float*)zz_data, &Sz);
                    }
                }
                else if (PyArray_DESCR(%(xx)s)->type_num == NPY_DOUBLE)
                {
                    double alpha = ((dtype_%(alpha)s*)PyArray_DATA(%(alpha)s))[0];

                    // Check for vector-vector dot (Nx0 == 1). The code may work
                    // for Sx1 != 1 as well, but has not been tested for this case,
                    // so Sx1 == 1 is required for safety.
                    if (Nx0 == 1 && Sx1 == 1)
                    {
                        zz_data[0] = dbeta*zz_data[0] + alpha*ddot_(&Nx1, 
                              (double*)(PyArray_DATA(%(xx)s)), &Sx1,
                              (double*)yy_data, &Sy);
                    }
                    else
                    {
                        dgemv_(&TRANS, &Nx1, &Nx0,
                            &alpha,
                            (double*)(PyArray_DATA(%(xx)s)), &Sx0,
                            (double*)yy_data, &Sy,
                            &dbeta,
                            (double*)zz_data, &Sz);
                    }
                }
                else
                {
                    PyErr_SetString(PyExc_AssertionError,
                                    "neither float nor double dtype");
                    %(fail)s
                }
            }
            else
            {
                PyErr_SetString(PyExc_AssertionError,
                    "xx is a double-strided matrix, and should have been "
                    "copied into a memory-contiguous one.");
                %(fail)s
            }
        }
        else if (dbeta != 1.0)
        {
            // the matrix has at least one dim of length 0
            // so we do this loop, which either iterates over 0 elements
            // or else it does the right thing for length-0 x.
            dtype_%(zz)s * zptr = (dtype_%(zz)s*)(PyArray_DATA(%(zz)s));
            for (int i = 0; i < Nx0; ++i)
            {
                zptr[i * Sz] *= dbeta;
            }
        }
    }

    """ % locals()


class CGemv(BaseBLAS, Gemv):
    def c_code(self, node, name, inp, out, sub):
        aa, alpha, xx, yy, beta = inp
        zz, = out
        code = gemv_c_code(
                aa, xx, yy, zz, alpha, beta,
                destructive=int(self.inplace),
                fail=sub['fail'])
        return code

    def c_code_cache_version(self):
        return (10, blas_header_version())


@local_optimizer([gemv_inplace, gemv_no_inplace])
def use_c_gemv(node):
    if not config.blas.ldflags:
        return
    # Only float32 and float64 are supported for now.
    if (node.op == gemv_no_inplace and
            node.outputs[0].dtype in ['float32', 'float64']):
        return [CGemv(inplace=False)(*node.inputs)]
    if (node.op == gemv_inplace and
            node.outputs[0].dtype in ['float32', 'float64']):
        return [CGemv(inplace=True)(*node.inputs)]


@local_optimizer([CGemv(inplace=False)])
def make_c_gemv_destructive(node):
    if node.op == CGemv(inplace=False):
        return [CGemv(inplace=True)(*node.inputs)]


####### ####### #######
# Optimizers
####### ####### #######

blas_optdb.register('use_c_blas',
    EquilibriumOptimizer([
        use_c_ger,
        use_c_gemv,
        ],
        max_use_ratio=5),
    20, 'fast_run', 'c_blas')
#print 'BLAS_OPTDB'
#print blas_optdb

# this matches the InplaceBlasOpt defined in blas.py
optdb.register('c_blas_destructive',
        EquilibriumOptimizer([
                make_c_ger_destructive,
                make_c_gemv_destructive,
            ],
            failure_callback=EquilibriumOptimizer.warn_inplace,
            max_use_ratio=5),
        70.0, 'fast_run', 'inplace', 'c_blas')
