add ops info for VM

mindspore/ops/_op_impl/tbe/__init__.py

@@ -19,8 +19,10 @@ from .abs_grad import _abs_grad_tbe
 from .adam_apply_one_with_decay import _adam_apply_one_with_decay_tbe
 from .add import _add_tbe
 from .add_n import _add_n_tbe
+from .apply_ftrl import _apply_ftrl_tbe
 from .apply_momentum import _apply_momentum_tbe
 from .apply_adam import _apply_adam_tbe
+from .adam_apply_one import _adam_apply_one_tbe
 from .assign import _assign_tbe
 from .assign_add import _assign_add_tbe
 from .assign_sub import _assign_sub_tbe
@@ -67,13 +69,14 @@ from .squeeze import _squeeze_tbe
 from .tile import _tile_tbe
 from .atomic_addr_clean import _atomic_addr_clean_tbe
 from .gather_v2 import _gather_v2_tbe
+from .gather_nd import _gather_nd_tbe
 from .bn_training_reduce import _bn_training_reduce_tbe
 from .bn_training_reduce_grad import _bn_training_reduce_grad_tbe
 from .bn_training_update import _bn_training_update_tbe
 from .bn_training_update_grad import _bn_training_update_grad_tbe
 from .reciprocal import _reciprocal_tbe
-from .strideslice_d import _strided_slice_d_tbe
-from .strideslicegrad_d import _strided_slice_grad_d_tbe
+from .strided_slice_d import _strided_slice_d_tbe
+from .strided_slice_grad_d import _strided_slice_grad_d_tbe
 from .split_d import _split_d_tbe
 from .exp import _exp_tbe
 from .div import _div_tbe

mindspore/ops/_op_impl/tbe/adam_apply_one.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.
+# ============================================================================
+
+"""AdamApplyOne op"""
+from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
+
+adam_apply_one_op_info = TBERegOp("AdamApplyOne") \
+    .fusion_type("OPAQUE") \
+    .async_flag(False) \
+    .binfile_name("adam_apply_one.so") \
+    .compute_cost(10) \
+    .kernel_name("adam_apply_one") \
+    .partial_flag(True) \
+    .input(0, "input0", False, "required", "all") \
+    .input(1, "input1", False, "required", "all") \
+    .input(2, "input2", False, "required", "all") \
+    .input(3, "input3", False, "required", "all") \
+    .input(4, "input4", False, "required", "all") \
+    .input(5, "mul0_x", False, "required", "all") \
+    .input(6, "mul1_x", False, "required", "all") \
+    .input(7, "mul2_x", False, "required", "all") \
+    .input(8, "mul3_x", False, "required", "all") \
+    .input(9, "add2_y", False, "required", "all") \
+    .output(0, "output0", False, "required", "all") \
+    .output(1, "output1", False, "required", "all") \
+    .output(2, "output2", False, "required", "all") \
+    .dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.F16_Default, DataType.F16_Default,
+                  DataType.F16_Default, DataType.F16_Default, DataType.F16_Default, DataType.F16_Default,
+                  DataType.F16_Default, DataType.F16_Default, DataType.F16_Default, DataType.F16_Default,
+                  DataType.F16_Default) \
+    .dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.F32_Default, DataType.F32_Default,
+                  DataType.F32_Default, DataType.F32_Default, DataType.F32_Default, DataType.F32_Default,
+                  DataType.F32_Default, DataType.F32_Default, DataType.F32_Default, DataType.F32_Default,
+                  DataType.F32_Default) \
+    .get_op_info()
+
+
+@op_info_register(adam_apply_one_op_info)
+def _adam_apply_one_tbe():
+    """AdamApplyOne TBE register"""
+    return

mindspore/ops/_op_impl/tbe/apply_ftrl.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.
+# ============================================================================
+
+"""ApplyFtrl op"""
+from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
+
+apply_ftrl_op_info = TBERegOp("ApplyFtrl") \
+    .fusion_type("OPAQUE") \
+    .async_flag(False) \
+    .binfile_name("apply_ftrl.so") \
+    .compute_cost(10) \
+    .kernel_name("apply_ftrl") \
+    .partial_flag(True) \
+    .input(0, "var", False, "required", "all") \
+    .input(1, "accum", False, "required", "all") \
+    .input(2, "linear", False, "required", "all") \
+    .input(3, "grad", False, "required", "all") \
+    .input(4, "lr", False, "required", "all") \
+    .input(5, "l1", False, "required", "all") \
+    .input(6, "l2", False, "required", "all") \
+    .input(7, "lr_power", False, "required", "all") \
+    .output(0, "var", False, "required", "all") \
+    .dtype_format(DataType.F16_5HD, DataType.F16_5HD, DataType.F16_5HD, DataType.F16_5HD,
+                  DataType.F16_5HD, DataType.F16_Default, DataType.F16_Default, DataType.F16_Default,
+                  DataType.F16_5HD) \
+    .dtype_format(DataType.F16_FracZ, DataType.F16_FracZ, DataType.F16_FracZ, DataType.F16_FracZ,
+                  DataType.F16_FracZ, DataType.F16_Default, DataType.F16_Default, DataType.F16_Default,
+                  DataType.F16_FracZ) \
+    .dtype_format(DataType.F16_C1HWNCoC0, DataType.F16_C1HWNCoC0, DataType.F16_C1HWNCoC0, DataType.F16_C1HWNCoC0,
+                  DataType.F16_C1HWNCoC0, DataType.F16_Default, DataType.F16_Default, DataType.F16_Default,
+                  DataType.F16_C1HWNCoC0) \
+    .dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.F16_Default, DataType.F16_Default,
+                  DataType.F16_Default, DataType.F16_Default, DataType.F16_Default, DataType.F16_Default,
+                  DataType.F16_Default) \
+    .dtype_format(DataType.F32_5HD, DataType.F32_5HD, DataType.F32_5HD, DataType.F32_5HD,
+                  DataType.F32_5HD, DataType.F32_Default, DataType.F32_Default, DataType.F32_Default,
+                  DataType.F32_5HD) \
+    .dtype_format(DataType.F32_FracZ, DataType.F32_FracZ, DataType.F32_FracZ, DataType.F32_FracZ,
+                  DataType.F32_FracZ, DataType.F32_Default, DataType.F32_Default, DataType.F32_Default,
+                  DataType.F32_FracZ) \
+    .dtype_format(DataType.F32_C1HWNCoC0, DataType.F32_C1HWNCoC0, DataType.F32_C1HWNCoC0, DataType.F32_C1HWNCoC0,
+                  DataType.F32_C1HWNCoC0, DataType.F32_Default, DataType.F32_Default, DataType.F32_Default,
+                  DataType.F32_C1HWNCoC0) \
+    .dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.F32_Default, DataType.F32_Default,
+                  DataType.F32_Default, DataType.F32_Default, DataType.F32_Default, DataType.F32_Default,
+                  DataType.F32_Default) \
+    .get_op_info()
+
+
+@op_info_register(apply_ftrl_op_info)
+def _apply_ftrl_tbe():
+    """Applyftrl TBE register"""
+    return

mindspore/ops/_op_impl/tbe/gather_nd.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.
+# ============================================================================
+
+"""GatherNd op"""
+from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
+
+gather_nd_op_info = TBERegOp("GatherNd") \
+    .fusion_type("OPAQUE") \
+    .async_flag(False) \
+    .binfile_name("gather_nd.so") \
+    .compute_cost(10) \
+    .kernel_name("gather_nd") \
+    .partial_flag(True) \
+    .input(0, "x1", False, "required", "all") \
+    .input(1, "x2", False, "required", "all") \
+    .output(0, "y", False, "required", "all") \
+    .dtype_format(DataType.I32_Default, DataType.I32_Default, DataType.I32_Default) \
+    .dtype_format(DataType.I32_Default, DataType.I64_Default, DataType.I32_Default) \
+    .dtype_format(DataType.F32_Default, DataType.I32_Default, DataType.F32_Default) \
+    .dtype_format(DataType.F32_Default, DataType.I64_Default, DataType.F32_Default) \
+    .dtype_format(DataType.F16_Default, DataType.I32_Default, DataType.F16_Default) \
+    .dtype_format(DataType.F16_Default, DataType.I64_Default, DataType.F16_Default) \
+    .dtype_format(DataType.I8_Default, DataType.I32_Default, DataType.I8_Default) \
+    .dtype_format(DataType.I8_Default, DataType.I64_Default, DataType.I8_Default) \
+    .dtype_format(DataType.U8_Default, DataType.I32_Default, DataType.U8_Default) \
+    .dtype_format(DataType.U8_Default, DataType.I64_Default, DataType.U8_Default) \
+    .dtype_format(DataType.BOOL_Default, DataType.I32_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.BOOL_Default, DataType.I64_Default, DataType.BOOL_Default) \
+    .get_op_info()
+
+
+@op_info_register(gather_nd_op_info)
+def _gather_nd_tbe():
+    """GatherNd TBE register"""
+    return