!539 GPU add akg kernel lessequal

Merge pull request !539 from VectorSL/lessequal_new

mindspore/_akg/gpu/less_equal.py

@@ -0,0 +1,40 @@
+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""less_equal"""
+import _akg.tvm
+from _akg.ops.math import less_equal
+from _akg.topi.generic import schedule_elemwise
+
+def LessEqual(x, y):
+    """LessEqual."""
+    return less_equal.less_equal(x, y)
+
+
+def gpu_schedule_LessEqual(outs):
+    """
+    GPU schedule for LessEqual.
+
+    Args:
+        outs (tvm.tensor.Tensor): Outputs of compute.
+
+    Returns:
+        sch (schedule.Schedule): The created schedule.
+    """
+    device = 'cuda'
+    ctx = _akg.tvm.context(device, 0)
+    if not ctx.exist:
+        raise SystemError("Skip because %s is not enabled" % device)
+    with _akg.tvm.target.create(device):
+        sch = schedule_elemwise(outs)
+    return sch

mindspore/_akg/ops/math/less_equal.py

@@ -0,0 +1,54 @@
+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""operator dsl function: lessequal"""
+import _akg.tvm
+import _akg.topi
+from _akg.utils.dsl_create import produce_shapes
+from _akg.utils import validation_check as vc_util
+
+
+@vc_util.check_input_type(_akg.tvm.tensor.Tensor, _akg.tvm.tensor.Tensor)
+def less_equal(input1, input2):
+    """
+    Check whether input1 lessequals to input2.
+
+    Args:
+        input1 (tvm.tensor.Tensor): Tensor.
+        input2 (tvm.tensor.Tensor): Tensor.
+
+    Returns:
+        tvm.tensor.Tensor. If input1 lessequal to input2 return True, else return False.
+    """
+    shape1 = [x.value for x in input1.shape]
+    shape2 = [x.value for x in input2.shape]
+    vc_util.check_shape(shape1)
+    vc_util.check_shape(shape2)
+
+    shape1, shape2, shape = produce_shapes(shape1, shape2)
+
+    vc_util.elemwise_dtype_check(input1.dtype, input2.dtype)
+    dtype = input1.dtype
+
+    # get lessequal compute
+    t_value = _akg.tvm.compute(shape, lambda *indice: _akg.tvm.const(1, dtype), "T")
+    f_value = _akg.tvm.compute(shape, lambda *indice: _akg.tvm.const(0, dtype), "F")
+
+    input1_bro = _akg.topi.broadcast_to(input1, shape)
+    input2_bro = _akg.topi.broadcast_to(input2, shape)
+    c_out = _akg.tvm.compute(shape, lambda *indice: _akg.tvm.expr.Select(input1_bro[indice] <= input2_bro[indice],
+                                                                         t_value[indice], f_value[indice]), name="C")
+    res = _akg.tvm.compute(shape, lambda *indice: c_out(*indice).astype("bool"), name="res")
+
+    return res

mindspore/ops/_op_impl/akg/gpu/lessequal.py

@@ -0,0 +1,32 @@
+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""LessEqual op"""
+from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
+
+equal_op_info = AkgRegOp("LessEqual") \
+    .fusion_type("OPAQUE") \
+    .input(0, "x") \
+    .input(1, "y") \
+    .output(0, "output") \
+    .dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.I32_Default, DataType.I32_Default, DataType.BOOL_Default) \
+    .get_op_info()
+
+
+@op_info_register(equal_op_info)
+def _lessequal_akg():
+    """LessEqual register"""
+    return