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Removing tensorflow bottlenecks #177

Merged
merged 58 commits into from
Apr 1, 2022
Merged

Removing tensorflow bottlenecks #177

merged 58 commits into from
Apr 1, 2022

Commits on Jan 18, 2022

  1. Types and supported ops for graph mode.

    @nwittler
    nwittler committed Jan 18, 2022
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Commits on Jan 19, 2022

  1. Switched test to unitary fid.

    @nwittler
    nwittler committed Jan 19, 2022
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  2. Temp disabled logging for graph mode.

    @nwittler
    nwittler committed Jan 19, 2022
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Commits on Feb 22, 2022

  1. Saving signal stack per channel

    @nwittler
    nwittler committed Feb 22, 2022
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  2. Temp disabled logging for graph optim

    @nwittler
    nwittler committed Feb 22, 2022
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  3. Refactoring

    @nwittler
    nwittler committed Feb 22, 2022
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  4. Graph mode tweaks

    @nwittler
    nwittler committed Feb 22, 2022
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  5. Fixed device signatures, updated tests.

    @nwittler
    nwittler committed Feb 22, 2022
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  6. Restored check for vanishing grads, storing best goal.

    @nwittler
    nwittler committed Feb 22, 2022
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  7. Fixed types.

    @nwittler
    nwittler committed Feb 22, 2022
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Commits on Feb 23, 2022

  1. Graph compilation doesn't like mangled names (e.g. __fieldname)

    @nwittler
    nwittler committed Feb 23, 2022
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Commits on Feb 24, 2022

  1. Removed questionable response function

    @nwittler
    nwittler committed Feb 24, 2022
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  2. Added experimental tree multiplication.

    @nwittler
    nwittler committed Feb 24, 2022
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  3. Used experimental matmul

    @nwittler
    nwittler committed Feb 24, 2022
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Commits on Mar 1, 2022

  1. Binary tree matmul for @tf.function mode

    @nwittler
    nwittler committed Mar 1, 2022
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  2. Enabled graph mode for goal function eval.

    @nwittler
    nwittler committed Mar 1, 2022
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  3. Modifications for graph mode, to be cleaned

    @nwittler
    nwittler committed Mar 1, 2022
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  4. Docstring.

    @nwittler
    nwittler committed Mar 1, 2022
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Commits on Mar 2, 2022

  1. Merge branch 'dev' into speed

    @nwittler
    nwittler committed Mar 2, 2022
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  2. Removed left over debug line

    @nwittler
    nwittler committed Mar 2, 2022
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  3. Re-blacking

    @nwittler
    nwittler committed Mar 2, 2022
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  4. Removed mangling

    @nwittler
    nwittler committed Mar 2, 2022
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Commits on Mar 7, 2022

  1. Merge branch 'dev' into speed

    @nwittler
    nwittler committed Mar 7, 2022
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Commits on Mar 8, 2022

  1. Added options for tree matmul and fixed signal gen to start at 0

    @nwittler
    nwittler committed Mar 8, 2022
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  2. Deleted obsolete logging.

    @nwittler
    nwittler committed Mar 8, 2022
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  3. Graph mode compatible logging of params

    @nwittler
    nwittler committed Mar 8, 2022
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  4. Handled envs starting at 0 for netzero pulses

    @nwittler
    nwittler committed Mar 8, 2022
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Commits on Mar 14, 2022

  1. Separated getters for other values and correct flattening of matrices

    @nwittler
    nwittler committed Mar 14, 2022
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  2. Added support for multiple inputs.

    @nwittler
    nwittler committed Mar 14, 2022
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  3. Correct masking of multi component signals.

    @nwittler
    nwittler committed Mar 14, 2022
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  4. Logging of params outside of comp graph.

    @nwittler
    nwittler committed Mar 14, 2022
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  5. Added list method and flattening of matrices

    @nwittler
    nwittler committed Mar 14, 2022
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Commits on Mar 20, 2022

  1. convert x_init to numpy array before appending

    @lazyoracle
    lazyoracle committed Mar 20, 2022
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  2. signal_in to process() must be List[Dict]

    @lazyoracle
    lazyoracle committed Mar 20, 2022
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Commits on Mar 21, 2022

  1. Using tf maximum func.

    @nwittler
    nwittler committed Mar 21, 2022
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Commits on Mar 22, 2022

  1. Precompute the signal stack for all gates.

    @nwittler
    nwittler committed Mar 22, 2022
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Commits on Mar 23, 2022

  1. Using min of t_final for masking

    @nwittler
    nwittler committed Mar 23, 2022
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  2. Support multiple folding stacks.

    @nwittler
    nwittler committed Mar 23, 2022
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  3. Set prop method when doing quick setup or loading from file.

    @nwittler
    nwittler committed Mar 23, 2022
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  4. Logic for correct masking of envelopes

    @nwittler
    nwittler committed Mar 23, 2022
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  5. Made default compatible with previous versions

    @nwittler
    nwittler committed Mar 23, 2022
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Commits on Mar 28, 2022

  1. Merge branch 'dev' into speed

    @nwittler
    nwittler committed Mar 28, 2022
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Commits on Mar 29, 2022

  1. Typing for devices

    @nwittler
    nwittler committed Mar 29, 2022
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  2. No switching based on type

    @nwittler
    nwittler committed Mar 29, 2022
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  3. Default simulation resolution

    @nwittler
    nwittler committed Mar 29, 2022
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  4. Deleted annoying double checks.

    @nwittler
    nwittler committed Mar 29, 2022
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  5. Logging of parameters

    @nwittler
    nwittler committed Mar 29, 2022
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  6. Comparing angular freqs.

    @nwittler
    nwittler committed Mar 29, 2022
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  7. Switched to unitary fidelity.

    @nwittler
    nwittler committed Mar 29, 2022
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  8. Initial rework to enable graph mode.

    @nwittler
    nwittler committed Mar 29, 2022
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Commits on Mar 30, 2022

  1. Added explicit loading of simulation resolution

    @nwittler
    nwittler committed Mar 30, 2022
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  2. Saving simulation resolution to file and loading.

    @nwittler
    nwittler committed Mar 30, 2022
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  3. Logging for different param types (tf, np, list)

    @nwittler
    nwittler committed Mar 30, 2022
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Commits on Mar 31, 2022

  1. Removed response function from chains.

    @nwittler
    nwittler committed Mar 31, 2022
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  2. Prefactor in units (like 2pi)

    @nwittler
    nwittler committed Mar 31, 2022
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  3. Loading optimized point into param map

    @nwittler
    nwittler committed Mar 31, 2022
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  4. Updated examples.

    @nwittler
    nwittler committed Mar 31, 2022
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  5. Comparing technical frequencies.

    @nwittler
    nwittler committed Mar 31, 2022
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