Optimising Temporary Memory Usage for Convolutions and Matmuls on the IPU
Version: latest
1. Introduction to the available memory proportion option
1.1. The convolution planner
2. Worked example
2.1. Use case 1: fitting a model or pipeline stage
2.2. Use case 2: Optimising for throughput
3. How to set the available memory proportion
3.1. TensorFlow
3.2. PyTorch
3.3. PopART
4. Legal notices
Optimising Temporary Memory Usage for Convolutions and Matmuls on the IPU
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Optimising Temporary Memory Usage for Convolutions and Matmuls on the IPU
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Optimising Temporary Memory Usage for Convolutions and Matmuls on the IPU
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1. Introduction to the available memory proportion option
1.1. The convolution planner
2. Worked example
2.1. Use case 1: fitting a model or pipeline stage
2.2. Use case 2: Optimising for throughput
3. How to set the available memory proportion
3.1. TensorFlow
3.2. PyTorch
3.3. PopART
4. Legal notices
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