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Conv2D with Input & Output in DRAM #13229

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Conv2D with Input & Output in DRAM #13229

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mywoodstock
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Revival of #12630

Problem description

Provide context for the problem.

What's changed

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Summarize the changes made and its impact.

Checklist

  • Post commit CI passes
  • Blackhole Post commit (if applicable)
  • Model regression CI testing passes (if applicable)
  • Device performance regression CI testing passes (if applicable)
  • New/Existing tests provide coverage for changes

conv_config_l1.output_height_in_l1 = 0;
conv_config_l1.reshard_if_not_optimal = true;
ttnn::Tensor sliced_output_tensor;
std::tie(sliced_output_tensor, std::ignore, std::ignore, weight_tensor_on_device, bias_tensor_on_device) = conv2d(
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  1. This function is already too long. You should not add this much new code into it. Please refactor and have new code in a new function.
  2. Do not make this function recursive. Please have multiple levels instead.

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3 participants