diff options
Diffstat (limited to 'tosa.xml')
| -rw-r--r-- | tosa.xml | 122 |
1 files changed, 97 insertions, 25 deletions
@@ -822,7 +822,6 @@ <type name='in_out_t'/> </types> <typesupport mode="signed 32" in_out_t="i32_t"/> - <typesupport mode="shape" in_out_t="shape_t"/> <typesupport mode="fp16" in_out_t="fp16_t" > <profile name="MI"/> <profile name="MT"/> @@ -957,7 +956,6 @@ <type name='in_out_t'/> </types> <typesupport mode="signed 32" in_out_t="i32_t"/> - <typesupport mode="shape" in_out_t="shape_t"/> </operator> <operator> <name>LOGICAL_AND</name> @@ -1169,7 +1167,6 @@ <typesupport mode="signed 8" in_t="i8_t" out_t="i32_t"/> <typesupport mode="signed 16" in_t="i16_t" out_t="i32_t"/> <typesupport mode="signed 32" in_t="i32_t" out_t="i32_t"/> - <typesupport mode="shape" in_t="shape_t" out_t="shape_t"/> <typesupport mode="fp16" in_t="fp16_t" out_t="fp16_t"> <profile name="MI"/> <profile name="MT"/> @@ -1237,7 +1234,6 @@ <type name='in_out_t'/> </types> <typesupport mode="signed 32" in_out_t="i32_t"/> - <typesupport mode="shape" in_out_t="shape_t"/> <typesupport mode="fp16" in_out_t="fp16_t" > <profile name="MI"/> <profile name="MT"/> @@ -1936,7 +1932,6 @@ <typesupport mode="signed 8" in_out_t="i8_t"/> <typesupport mode="signed 16" in_out_t="i16_t"/> <typesupport mode="signed 32" in_out_t="i32_t"/> - <typesupport mode="shape" in_out_t="shape_t"/> <typesupport mode="fp16" in_out_t="fp16_t"> <profile name="MI"/> <profile name="MT"/> @@ -1957,9 +1952,10 @@ <description>Input tensor</description> <rank min="1" max="MAX_RANK"/> </argument> - <argument category="input" name="padding" type="tensor_t" shape="[rank(shape1),2]" tensor-element-type="shape_t"> - <description>Number of pad elements at the start and end of each dimension</description> - <rank min="2" max="2"/> + <argument category="input" name="padding" type="shape_t" shape="-" tensor-element-type="-"> + <description>Number of pad elements at the start and end of each dimension. + The values in padding are interpreted as start, end of each dimension. + As an example for rank 2, the values would be interpreted as [start_dim0, end_dim0, start_dim1, end_dim1].</description> </argument> <argument category="attribute" name="pad_const" type="tensor_t" shape="-" tensor-element-type="in_out_t"> <description>Constant value to be used as padding</description> @@ -2003,9 +1999,8 @@ <description>Axis in range from 0 to rank(shape) - 1</description> <rank min="0" max="0"/> </argument> - <argument category="output" name="output" type="tensor_t" shape="-" tensor-element-type="shape_t" > - <description>Output rank 0 tensor giving the size of the shape for the given axis</description> - <rank min="0" max="0"/> + <argument category="output" name="output" type="shape_t" shape="-" tensor-element-type="-" > + <description>Output shape type of size 1 giving the size of the shape for the given axis</description> </argument> </arguments> <types> @@ -2036,9 +2031,8 @@ <levellimit value="rank(shape1)" limit="MAX_RANK"/> <rank min="1" max="MAX_RANK"/> </argument> - <argument category="input" name="shape" type="tensor_t" shape="[rank(shape)]" tensor-element-type="shape_t"> - <description>1D shape tensor giving the new shape.</description> - <rank min="1" max="1"/> + <argument category="input" name="shape" type="shape_t" shape="-" tensor-element-type="-"> + <description>shape_t giving the new shape.</description> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> <description>Output tensor of same type, size as the input tensor</description> @@ -2090,7 +2084,6 @@ <typesupport mode="signed 8" in_out_t="i8_t"/> <typesupport mode="signed 16" in_out_t="i16_t"/> <typesupport mode="signed 32" in_out_t="i32_t"/> - <typesupport mode="shape" in_out_t="shape_t"/> <typesupport mode="fp16" in_out_t="fp16_t"> <profile name="MI"/> <profile name="MT"/> @@ -2111,11 +2104,11 @@ <description>Input tensor</description> <rank min="1" max="MAX_RANK"/> </argument> - <argument category="attribute" name="start" type="tensor_t" shape="[rank(shape1)]" tensor-element-type="index_t"> + <argument category="input" name="start" type="shape_t" shape="[rank(shape1)]" tensor-element-type="size_t"> <description>List of integer coordinates, of length equal to the rank of input1. Start coordinate for slicing.</description> <rank min="1" max="1"/> </argument> - <argument category="attribute" name="size" type="tensor_t" shape="[rank(shape1)]" tensor-element-type="index_t"> + <argument category="input" name="size" type="shape_t" shape="[rank(shape1)]" tensor-element-type="size_t"> <description>List of integer size values, of length equal to the rank of input1. Size of the input to be used.</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> @@ -2153,7 +2146,7 @@ used.</description> <description>Input tensor</description> <rank min="1" max="MAX_RANK"/> </argument> - <argument category="input" name="multiples" type="tensor_t" shape="[rank(shape1)]" tensor-element-type="shape_t"> + <argument category="input" name="multiples" type="shape_t" shape="[rank(shape1)]" tensor-element-type="-"> <description>Number of times to replicate input1 in each dimension</description> <rank min="1" max="1"/> </argument> @@ -2229,7 +2222,7 @@ used.</description> <description>3D value tensor</description> <rank min="3" max="3"/> </argument> - <argument category="input" name="indices" type="tensor_t" shape="[N,W]" tensor-element-type="index_t"> + <argument category="input" name="indices" type="tensor_t" shape="[N,W]" tensor-element-type="size_t"> <description>2D index tensor</description> <rank min="2" max="2"/> </argument> @@ -2264,7 +2257,7 @@ used.</description> <description>3D values in tensor</description> <rank min="3" max="3"/> </argument> - <argument category="input" name="indices" type="tensor_t" shape="[N,W]" tensor-element-type="index_t"> + <argument category="input" name="indices" type="tensor_t" shape="[N,W]" tensor-element-type="size_t"> <description>2D index tensor</description> <rank min="2" max="2"/> </argument> @@ -2305,17 +2298,17 @@ used.</description> <description>Input tensor</description> <rank min="4" max="4"/> </argument> - <argument category="input" name="scale" type="tensor_t" shape="[4]" tensor-element-type="shape_t"> + <argument category="input" name="scale" type="shape_t" shape="[4]" tensor-element-type="-"> <description>[scale_y_n, scale_y_d, scale_x_n, scale_x_d]</description> <levellimit value="scale_y_n/scale_y_d" limit="MAX_SCALE"/> <levellimit value="scale_x_n/scale_x_d" limit="MAX_SCALE"/> <rank min="1" max="1"/> </argument> - <argument category="input" name="offset" type="tensor_t" shape="[2]" tensor-element-type="shape_t"> + <argument category="input" name="offset" type="shape_t" shape="[2]" tensor-element-type="-"> <description>[offset_y, offset_x]</description> <rank min="1" max="1"/> </argument> - <argument category="input" name="border" type="tensor_t" shape="[2]" tensor-element-type="shape_t"> + <argument category="input" name="border" type="shape_t" shape="[2]" tensor-element-type="-"> <description>[border_y, border_x]</description> <rank min="1" max="1"/> </argument> @@ -2559,7 +2552,6 @@ used.</description> <typesupport mode="16-bit" out_t="i16_t" /> <typesupport mode="32-bit" out_t="i32_t" /> <typesupport mode="48-bit" out_t="i48_t" /> - <typesupport mode="shape" out_t="shape_t" /> <typesupport mode="fp16" out_t="fp16_t" > <profile name="MI"/> <profile name="MT"/> @@ -2680,7 +2672,7 @@ used.</description> <description>Globally unique identifier for the declared variable tensor.</description> <rank min="0" max="0"/> </argument> - <argument category="attribute" name="var_shape" type="tensor_t" shape="var_shape" tensor-element-type="index_t"> + <argument category="attribute" name="var_shape" type="tensor_t" shape="var_shape" tensor-element-type="size_t"> <description>The variable tensor shape</description> <rank min="1" max="1"/> </argument> @@ -2724,6 +2716,86 @@ used.</description> </arguments> </operator> </operatorgroup> + <operatorgroup name="shape"> + <operator> + <name>ADD_SHAPE</name> + <arguments> + <argument category="input" name="input1" type="shape_t" shape="-" tensor-element-type="-"> + <description>Input 1</description> + </argument> + <argument category="input" name="input2" type="shape_t" shape="-" tensor-element-type="-"> + <description>Input 2</description> + </argument> + <argument category="output" name="output" type="shape_t" shape="-" tensor-element-type="-"> + <description>Output shape</description> + </argument> + </arguments> + </operator> + <operator> + <name>CONCAT_SHAPE</name> + <arguments> + <argument category="input" name="input1" type="shape_list_t" shape="-" tensor-element-type="-"> + <description>List of input shape values</description> + </argument> + <argument category="output" name="output" type="shape_t" shape="-" tensor-element-type="-"> + <description>Output shape</description> + </argument> + </arguments> + </operator> + <operator> + <name>CONST_SHAPE</name> + <arguments> + <argument category="attribute" name="values" type="shape_t" shape="-" tensor-element-type="-"> + <description>Constant shape</description> + </argument> + <argument category="output" name="output" type="shape_t" shape="-" tensor-element-type="-"> + <description>Output shape</description> + </argument> + </arguments> + </operator> + <operator> + <name>DIV_SHAPE</name> + <arguments> + <argument category="input" name="input1" type="shape_t" shape="-" tensor-element-type="-"> + <description>Input 1</description> + </argument> + <argument category="input" name="input2" type="shape_t" shape="-" tensor-element-type="-"> + <description>Input 2</description> + </argument> + <argument category="output" name="output" type="shape_t" shape="-" tensor-element-type="-"> + <description>Output shape</description> + </argument> + </arguments> + </operator> + <operator> + <name>MUL_SHAPE</name> + <arguments> + <argument category="input" name="input1" type="shape_t" shape="-" tensor-element-type="-"> + <description>Input 1</description> + </argument> + <argument category="input" name="input2" type="shape_t" shape="-" tensor-element-type="-"> + <description>Input 2</description> + </argument> + <argument category="output" name="output" type="shape_t" shape="-" tensor-element-type="-"> + <description>Output shape</description> + </argument> + </arguments> + </operator> + <operator> + <name>SUB_SHAPE</name> + <arguments> + <argument category="input" name="input1" type="shape_t" shape="-" tensor-element-type="-"> + <description>Input 1</description> + </argument> + <argument category="input" name="input2" type="shape_t" shape="-" tensor-element-type="-"> + <description>Input 2</description> + </argument> + <argument category="output" name="output" type="shape_t" shape="-" tensor-element-type="-"> + <description>Output shape</description> + </argument> + </arguments> + </operator> + </operatorgroup> </operators> <enum name="resize_mode_t" description="Valid resize types"> |