I’m trying to use ZigZag to evaluate different mapping strategies for different types of convolution layers (e.g., standard convolution vs. depthwise convolution).
From the documentation, I understand that:
1. The mapping definition file allows specifying mappings per operation type (e.g., Conv, ADD, Pooling).
-
name: Add
spatial_mapping:
D1:
- G, 32
D2:
- C, 1
memory_operand_links:
O: O
W: I2
I: I1
-
name: Pooling
spatial_mapping:
D1:
- G, 32
D2:
- C, 1
memory_operand_links:
O: O
W: I2
I: I1
2. It’s also possible to assign custom mappings to individual layers using the name attribute.- name: example_name_of_layer0
- name: example_name_of_layer0
spatial_mapping:
D1:
- C, 32
D2:
- K, 32
temporal_ordering:
- [OX, 112] # Innermost loop
- [OY, 112]
- [FX, 7]
- [FY, 7]
- [K, 2] # Outermost loop
memory_operand_links:
O: O
W: I2
I: I1
How can I define distinct mappings for different subtypes of convolutions (e.g., standard Conv2D vs. DepthwiseConv2D)?
Thank you for your guidance!
I’m trying to use ZigZag to evaluate different mapping strategies for different types of convolution layers (e.g., standard convolution vs. depthwise convolution).
From the documentation, I understand that:
1. The mapping definition file allows specifying mappings per operation type (e.g., Conv, ADD, Pooling).
name: Add
spatial_mapping:
D1:
- G, 32
D2:
- C, 1
memory_operand_links:
O: O
W: I2
I: I1
name: Pooling
spatial_mapping:
D1:
- G, 32
D2:
- C, 1
memory_operand_links:
O: O
W: I2
I: I1
2. It’s also possible to assign custom mappings to individual layers using the name attribute.- name: example_name_of_layer0
spatial_mapping:
D1:
- C, 32
D2:
- K, 32
temporal_ordering:
memory_operand_links:
O: O
W: I2
I: I1
How can I define distinct mappings for different subtypes of convolutions (e.g., standard Conv2D vs. DepthwiseConv2D)?
Thank you for your guidance!