dock FloorMod GreaterEqual NotEqual ScatterNdUpdate

mindspore/ops/_op_impl/tbe/__init__.py

@@ -142,8 +142,12 @@ from .smooth_l1_loss_grad import _smooth_l1_loss_grad_tbe
 from .fused_mul_add import _fused_mul_add_tbe
 from .fused_mul_add_n import _fused_mul_add_n_tbe
 from .fused_mul_apply_momentum import _fused_mul_apply_momentum_tbe
-from .fill_d import _fill_d_op_tbe
+from .fill import _fill_op_tbe
 from .erf import _erf_op_tbe
 from .depthwise_conv2d import _depthwise_conv2d_tbe
 from .depthwise_conv2d_backprop_filter import _depthwise_conv2d_backprop_filter_tbe
 from .depthwise_conv2d_backprop_input import _depthwise_conv2d_backprop_input_tbe
+from .greater_equal import _greater_equal_tbe
+from .not_equal import _not_equal_tbe
+from .floor_mod import _floor_mod_tbe
+from .scatter_nd_update import _scatter_nd_update_tbe

mindspore/ops/_op_impl/tbe/fill_d.py → mindspore/ops/_op_impl/tbe/fill.py

@@ -16,7 +16,7 @@
 """FillD op"""
 from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
 
-fill_d_op_info = TBERegOp("FillD") \
+fill_d_op_info = TBERegOp("Fill") \
     .fusion_type("ELEMWISE") \
     .async_flag(False) \
     .binfile_name("fill_d.so") \
@@ -50,6 +50,6 @@ fill_d_op_info = TBERegOp("FillD") \
 
 
 @op_info_register(fill_d_op_info)
-def _fill_d_op_tbe():
+def _fill_op_tbe():
     """FillD TBE register"""
     return

mindspore/ops/_op_impl/tbe/floor_mod.py

+# 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.
+# ============================================================================
+
+"""FloorMod op"""
+from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
+
+floor_mod_op_info = TBERegOp("FloorMod") \
+    .fusion_type("ELEMWISE") \
+    .async_flag(False) \
+    .binfile_name("floor_mod.so") \
+    .compute_cost(10) \
+    .kernel_name("floor_mod") \
+    .partial_flag(True) \
+    .input(0, "x1", False, "required", "all") \
+    .input(1, "x2", False, "required", "all") \
+    .output(0, "y", False, "required", "all") \
+    .dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.F16_Default) \
+    .dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.F32_Default) \
+    .dtype_format(DataType.I32_Default, DataType.I32_Default, DataType.I32_Default) \
+    .get_op_info()
+
+
+@op_info_register(floor_mod_op_info)
+def _floor_mod_tbe():
+    """FloorMod TBE register"""
+    return

mindspore/ops/_op_impl/tbe/greater_equal.py

+# 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.
+# ============================================================================
+
+"""GreaterEqual op"""
+from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
+
+greater_equal_op_info = TBERegOp("GreaterEqual") \
+    .fusion_type("OPAQUE") \
+    .async_flag(False) \
+    .binfile_name("greater_equal.so") \
+    .compute_cost(10) \
+    .kernel_name("greater_equal") \
+    .partial_flag(True) \
+    .input(0, "x1", False, "required", "all") \
+    .input(1, "x2", False, "required", "all") \
+    .output(0, "y", False, "required", "all") \
+    .dtype_format(DataType.I8_Default, DataType.I8_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.I8_5HD, DataType.I8_5HD, DataType.BOOL_5HD) \
+    .dtype_format(DataType.U8_Default, DataType.U8_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.U8_5HD, DataType.U8_5HD, DataType.BOOL_5HD) \
+    .dtype_format(DataType.I32_Default, DataType.I32_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.I32_5HD, DataType.I32_5HD, DataType.BOOL_5HD) \
+    .dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.F16_5HD, DataType.F16_5HD, DataType.BOOL_5HD) \
+    .dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.F32_5HD, DataType.F32_5HD, DataType.BOOL_5HD) \
+    .get_op_info()
+
+
+@op_info_register(greater_equal_op_info)
+def _greater_equal_tbe():
+    """Greater TBE register"""
+    return

mindspore/ops/_op_impl/tbe/not_equal.py

+# 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.
+# ============================================================================
+
+"""NotEqual op"""
+from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
+
+not_equal_op_info = TBERegOp("NotEqual") \
+    .fusion_type("ELEMWISE") \
+    .async_flag(False) \
+    .binfile_name("not_equal.so") \
+    .compute_cost(10) \
+    .kernel_name("not_equal") \
+    .partial_flag(True) \
+    .input(0, "x1", False, "required", "all") \
+    .input(1, "x2", False, "required", "all") \
+    .output(0, "y", False, "required", "all") \
+    .dtype_format(DataType.I8_Default, DataType.I8_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.I8_5HD, DataType.I8_5HD, DataType.BOOL_5HD) \
+    .dtype_format(DataType.U8_Default, DataType.U8_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.U8_5HD, DataType.U8_5HD, DataType.BOOL_5HD) \
+    .dtype_format(DataType.I32_Default, DataType.I32_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.I32_5HD, DataType.I32_5HD, DataType.BOOL_5HD) \
+    .dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.F16_5HD, DataType.F16_5HD, DataType.BOOL_5HD) \
+    .dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.F32_5HD, DataType.F32_5HD, DataType.BOOL_5HD) \
+    .get_op_info()
+
+
+@op_info_register(not_equal_op_info)
+def _not_equal_tbe():
+    """Equal TBE register"""
+    return

mindspore/ops/_op_impl/tbe/scatter_nd.py

@@ -37,5 +37,5 @@ scatter_nd_op_info = TBERegOp("ScatterNd") \
 
 @op_info_register(scatter_nd_op_info)
 def _scatter_nd_tbe():
-    """Conv2D TBE register"""
+    """ScatterNd TBE register"""
     return

mindspore/ops/_op_impl/tbe/scatter_nd_update.py

+# 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.
+# ============================================================================
+
+"""ScatterNdUpdate op"""
+from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
+
+scatter_nd_update_op_info = TBERegOp("ScatterNdUpdate") \
+    .fusion_type("ELEMWISE") \
+    .async_flag(False) \
+    .binfile_name("scatter_nd_update.so") \
+    .compute_cost(10) \
+    .kernel_name("scatter_nd_update") \
+    .partial_flag(True) \
+    .attr("use_locking", "optional", "bool", "all") \
+    .input(0, "var", False, "required", "all") \
+    .input(1, "indices", False, "required", "all") \
+    .input(1, "updates", False, "required", "all") \
+    .output(0, "var", False, "required", "all") \
+    .dtype_format(DataType.F16_Default, DataType.I32_Default, DataType.F16_Default, DataType.F16_Default) \
+    .dtype_format(DataType.F32_Default, DataType.I32_Default, DataType.F32_Default, DataType.F32_Default) \
+    .dtype_format(DataType.I8_Default, DataType.I32_Default, DataType.I8_Default, DataType.I8_Default) \
+    .dtype_format(DataType.U8_Default, DataType.I32_Default, DataType.U8_Default, DataType.U8_Default,) \
+    .dtype_format(DataType.BOOL_Default, DataType.I32_Default, DataType.BOOL_Default, DataType.BOOL_Default) \
+    .get_op_info()
+
+
+@op_info_register(scatter_nd_update_op_info)
+def _scatter_nd_update_tbe():
+    """ScatterNdUpdate TBE register"""
+    return