M1 macs and disabling eager evaluation #498
Comments
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Does Tensorflow 2.7 (the current release) work for you? library(tensorflow)
tf$compat$v1$disable_eager_execution()
#> Loaded Tensorflow version 2.7.0
tf1 <- tensorflow::tf$compat$v1
tf1$placeholder(dtype = "float32", shape = shape(1))
#> Tensor("Placeholder:0", shape=(1,), dtype=float32)
tf_config()
#> TensorFlow v2.7.0 ()
#> Python v3.8 (~/Library/r-miniconda-arm64/envs/r-reticulate/bin/python)Created on 2022-01-27 by the reprex package (v2.0.1) |
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I can only seem to get version 2.6 actually library(tensorflow)
packageVersion("tensorflow")
#> [1] '2.7.0.9000'
tf$compat$v1$disable_eager_execution()
#> Loaded Tensorflow version 2.6.0
tf1 <- tensorflow::tf$compat$v1
tf1$placeholder(dtype = "float32", shape = shape(1))
#> Tensor("Placeholder:0", shape=(1,), dtype=float32)
tf_config()
#> TensorFlow v2.6.0 ()
#> Python v3.8 (~/Library/r-miniconda-arm64/envs/r-reticulate/bin/python)Created on 2022-01-28 by the reprex package (v2.0.1) |
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I'm not sure if this is in your wheelhouse, or if I should ask the folks over at reticulate::py_install(packages = "tensorflow-probability")
reticulate::py_module_available(module = "tensorflow-probability")
#> [1] FALSECreated on 2022-01-28 by the reprex package (v2.0.1) Session infosessioninfo::session_info()
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#> ui X11
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#> collate en_AU.UTF-8
#> ctype en_AU.UTF-8
#> tz Australia/Perth
#> date 2022-01-28
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#> numpy_version: 1.19.5
#>
#> ────────────────────────────────────────────────────────────────────────────── |
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Can you please try this?: reticulate::py_install(packages = "tensorflow-probability", pip = TRUE)
reticulate::py_module_available(module = "tensorflow_probability")(I added |
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I just realized there are two issues being discussed in this thread... coming back to the first one: |
njtierney
changed the title
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Hi @t-kalinowski - I'm not sure if eager mode is being turned off, or if it is interactive with tfp in some strange way - I've documented some of the issues that we are having here: greta-dev/greta#306 (comment). We are still working through this issue, so it could be something on our end with how we have wrapped tensorflow or tensorflow-probability. Just thought I'd link that to you in case there appears to be something obvious we have missed? |
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Hi, I'd be happy to take a look. What's the simplest way for me to reproduce the error on my side? I took a look at greta-dev/greta#306 and checked out PR greta-dev/greta#482, but everything still seems to be bootstrapping and requiring TF 1.14.0. E.g., https://github.com/njtierney/greta/blob/aa9c25bd3163890d3d7d19cb644ff7a6f32da2d4/R/greta_install_python_deps.R#L10 |
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Hi @t-kalinowski - sorry for the delay, your request made me look a lot closer at how things were being installed and I think I've got it sorted out in the PR now, if you wanted to have a go at exploring how it all works, see the below code: So what I notice is that on M1 mac, I get the same error, regardless of turning on eager mode or not. Here I control with an environment variable whether eager mode is turned on, and then turned off. Now, this could indeed be something to do with us needing to change things in how we interact with the new updated TF API, in which case this is just something we need to sift through. But I thought I'd show this here in case you found it relevant or there was something of interest. Thanks again in advance! # install with:
# remotes::install_github("greta-dev/greta#482)
Sys.setenv("GRETA_ENABLE_EAGER"=FALSE)
library(greta)
#>
#> Attaching package: 'greta'
#> The following objects are masked from 'package:stats':
#>
#> binomial, cov2cor, poisson
#> The following objects are masked from 'package:base':
#>
#> %*%, apply, backsolve, beta, chol2inv, colMeans, colSums, diag,
#> eigen, forwardsolve, gamma, identity, rowMeans, rowSums, sweep,
#> tapply
# check various python deps are installed correctly
greta_sitrep()
#> ℹ checking if python available
#> ✓ python (version 3.8) available
#>
#> ℹ checking if TensorFlow available
#> ✓ TensorFlow (version 2.6.0) available
#>
#> ℹ checking if TensorFlow Probability available
#> ✓ TensorFlow Probability (version 0.14.1) available
#>
#> ℹ checking if greta conda environment available
#> ✓ greta conda environment available
#>
#> Warning: greta does not currently work with Apple Silicon (M1)
#> We are working on getting this resolved ASAP, see
#> <https://github.com/greta-dev/greta/issues/458> for current progress.
#> ℹ Initialising python and checking dependencies, this may take a moment.
#> ✓ Initialising python and checking dependencies ... done!
#>
#> eager flag value is FALSE
#> ℹ Disabling TF eager execution with: `tf$compat$v1$disable_eager_execution()`
#> ℹ Show current state of eager execution with:
#> `tf$compat$v1$executing_eagerly()`
#> Loaded Tensorflow version 2.6.0
# you may need to do
# install_greta_deps()
tensorflow::tf$compat$v1$executing_eagerly()
#> [1] FALSE
m <- model(normal(0,1))
#> Warning: greta does not currently work with Apple Silicon (M1)
#> We are working on getting this resolved ASAP, see
#> <https://github.com/greta-dev/greta/issues/458> for current progress.
#> Warning: greta does not currently work with Apple Silicon (M1)
#> We are working on getting this resolved ASAP, see
#> <https://github.com/greta-dev/greta/issues/458> for current progress.
mcmc(m)
#> Error in py_call_impl(callable, dots$args, dots$keywords): RuntimeError: Evaluation error: ValueError: Tensor("mcmc_sample_chain/trace_scan/while/mcmc_sample_chain_trace_scan_while_chain_of_mcmc_sample_chain_trace_scan_while_reshape_of_mcmc_sample_chain_trace_scan_while_identity/forward_log_det_jacobian/mcmc_sample_chain_trace_scan_while_reshape/forward/Const:0", shape=(2,), dtype=int32) must be from the same graph as Tensor("leapfrog_integrate_one_step/maybe_call_fn_and_grads/value_and_gradients/value_and_gradient/Shape:0", shape=(2,), dtype=int32) (graphs are <tensorflow.python.framework.ops.Graph object at 0x14e9feee0> and FuncGraph(name=mh_one_step_hmc_kernel_one_step_leapfrog_integrate_while_body_440, id=5902822128)).
#> .Created on 2022-03-17 by the reprex package (v2.0.1) Session infosessioninfo::session_info()
#> ─ Session info ↘️ 👌 🌧️ ───────────────────────────────────────────────────
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#> setting value
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#> ctype en_AU.UTF-8
#> tz Australia/Perth
#> date 2022-03-17
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#>
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#>
#> ─ Python configuration ───────────────────────────────────────────────────────
#> python: /Users/nick/Library/r-miniconda-arm64/envs/greta-env/bin/python
#> libpython: /Users/nick/Library/r-miniconda-arm64/envs/greta-env/lib/libpython3.8.dylib
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#> numpy_version: 1.19.5
#> tensorflow: /Users/nick/Library/r-miniconda-arm64/envs/greta-env/lib/python3.8/site-packages/tensorflow
#>
#> NOTE: Python version was forced by use_python function
#>
#> ──────────────────────────────────────────────────────────────────────────────And here is it being turned on: # Now do not turn it on
Sys.setenv("GRETA_ENABLE_EAGER"=TRUE)
library(greta)
#>
#> Attaching package: 'greta'
#> The following objects are masked from 'package:stats':
#>
#> binomial, cov2cor, poisson
#> The following objects are masked from 'package:base':
#>
#> %*%, apply, backsolve, beta, chol2inv, colMeans, colSums, diag,
#> eigen, forwardsolve, gamma, identity, rowMeans, rowSums, sweep,
#> tapply
# check various python deps are installed correctly
greta_sitrep()
#> ℹ checking if python available
#> ✓ python (version 3.8) available
#>
#> ℹ checking if TensorFlow available
#> ✓ TensorFlow (version 2.6.0) available
#>
#> ℹ checking if TensorFlow Probability available
#> ✓ TensorFlow Probability (version 0.14.1) available
#>
#> ℹ checking if greta conda environment available
#> ✓ greta conda environment available
#>
#> Warning: greta does not currently work with Apple Silicon (M1)
#> We are working on getting this resolved ASAP, see
#> <https://github.com/greta-dev/greta/issues/458> for current progress.
#> ℹ Initialising python and checking dependencies, this may take a moment.
#> ✓ Initialising python and checking dependencies ... done!
#>
#> eager flag value is TRUE
#> ℹ Disabling TF eager execution with: `tf$compat$v1$disable_eager_execution()`
#> Loaded Tensorflow version 2.6.0
tensorflow::tf$compat$v1$executing_eagerly()
#> [1] TRUE
m <- model(normal(0,1))
#> Warning: greta does not currently work with Apple Silicon (M1)
#> We are working on getting this resolved ASAP, see
#> <https://github.com/greta-dev/greta/issues/458> for current progress.
#> Warning: greta does not currently work with Apple Silicon (M1)
#> We are working on getting this resolved ASAP, see
#> <https://github.com/greta-dev/greta/issues/458> for current progress.
mcmc(m)
#> Error in py_call_impl(callable, dots$args, dots$keywords): RuntimeError: Evaluation error: ValueError: Tensor("mcmc_sample_chain/trace_scan/while/mcmc_sample_chain_trace_scan_while_chain_of_mcmc_sample_chain_trace_scan_while_reshape_of_mcmc_sample_chain_trace_scan_while_identity/forward_log_det_jacobian/mcmc_sample_chain_trace_scan_while_reshape/forward/Const:0", shape=(2,), dtype=int32) must be from the same graph as Tensor("leapfrog_integrate_one_step/maybe_call_fn_and_grads/value_and_gradients/value_and_gradient/Shape:0", shape=(2,), dtype=int32) (graphs are <tensorflow.python.framework.ops.Graph object at 0x117977ee0> and FuncGraph(name=mh_one_step_hmc_kernel_one_step_leapfrog_integrate_while_body_439, id=5875312768)).
#> .Created on 2022-03-17 by the reprex package (v2.0.1) Session infosessioninfo::session_info()
#> ─ Session info ↘️ 👌 🌧️ ───────────────────────────────────────────────────
#> hash: down-right arrow, OK hand, cloud with rain
#>
#> setting value
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#> collate en_AU.UTF-8
#> ctype en_AU.UTF-8
#> tz Australia/Perth
#> date 2022-03-17
#> pandoc 2.16.1 @ /Applications/RStudio.app/Contents/MacOS/quarto/bin/ (via rmarkdown)
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#> yaml 2.3.5 2022-02-21 [1] CRAN (R 4.1.1)
#>
#> [1] /Library/Frameworks/R.framework/Versions/4.1-arm64/Resources/library
#>
#> ─ Python configuration ───────────────────────────────────────────────────────
#> python: /Users/nick/Library/r-miniconda-arm64/envs/greta-env/bin/python
#> libpython: /Users/nick/Library/r-miniconda-arm64/envs/greta-env/lib/libpython3.8.dylib
#> pythonhome: /Users/nick/Library/r-miniconda-arm64/envs/greta-env:/Users/nick/Library/r-miniconda-arm64/envs/greta-env
#> version: 3.8.12 | packaged by conda-forge | (default, Jan 30 2022, 23:13:24) [Clang 11.1.0 ]
#> numpy: /Users/nick/Library/r-miniconda-arm64/envs/greta-env/lib/python3.8/site-packages/numpy
#> numpy_version: 1.19.5
#> tensorflow: /Users/nick/Library/r-miniconda-arm64/envs/greta-env/lib/python3.8/site-packages/tensorflow
#>
#> NOTE: Python version was forced by use_python function
#>
#> ──────────────────────────────────────────────────────────────────────────────So there is probably some other update here in the API that I need to consider |
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Hi there!
I have managed to install TF version 2.6.0 on my M1 mac! Hooray!
However, I am really hoping to install TF version 2.5.0 for
greta, as we would like to work out a way to test if we can disable "eager evaluation" in TF, and that is apparently not possible in 2.6.0 (https://stackoverflow.com/questions/53429896/how-do-i-disable-tensorflows-eager-execution)Looking under the hood at the installation code, it seems that I can get TF version 2.5.0 to install by changing the code to be:
However this doesn't seem to work as I expected, and version 2.6.0 is still loaded.
As I understand it, some of the issues around installing version 2.5.0 on M1 macs are that it just isn't built on M1 architecture, is this the case?
I appreciate that this might be a rather complicated request, so no worries if this isn't in scope, just wanted to see if there was an outside change we could change the TF version for M1 macs, as if we have to use "eager mode" in greta, it will require re-writing substantial amounts of the code base.
(We've written a bit more around migration in greta, if you're interested, see greta-dev/greta#306)
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