mirrors/rocm_jax
1
0
Fork 0
mirror of https://github.com/ROCm/jax.git synced 2025-04-18 12:56:07 +00:00
Code Issues Packages Projects Releases Wiki Activity
rocm_jax/build/test-requirements.txt

7 lines
78 B
Plaintext
Raw Normal View History

Add cloudpickle as a test requirement. We have at least one test that tests pickling JAX objects.
2022-02-16 15:04:56 -05:00
cloudpickle
Adds a Wadler-Lindig pretty printer. Changes jaxpr printing to use it.
2021-09-24 22:08:42 -04:00
colorama>=0.4.4
make tests compatible with recent pillow versions
2022-07-22 13:09:52 -07:00
pillow>=8.3.1
Switch CI builds from Travis to Github actions (#3409)
2020-06-11 17:10:56 -04:00
pytest-benchmark
pytest-xdist
Attach source info to Jaxpr equations. (#3421) * Attach source info to Jaxpr equations. Example: ``` In [1]: import jax, jax.numpy as jnp In [2]: def f(x, y): ...: z = jax.numpy.cos(x) ...: z = z * jax.numpy.tanh(y) ...: return z + 2 ...: In [3]: jax.make_jaxpr(jax.value_and_grad(f))(7., 9.) Out[3]: { lambda ; a b. let c = cos a [<ipython-input-2-5d59f71cb65d>:2 (f)] d = tanh b [<ipython-input-2-5d59f71cb65d>:3 (f)] e = mul c d [<ipython-input-2-5d59f71cb65d>:3 (f)] f = add e 2.0 [<ipython-input-2-5d59f71cb65d>:4 (f)] g = mul 1.0 d [<ipython-input-2-5d59f71cb65d>:3 (f)] h = neg g [<ipython-input-2-5d59f71cb65d>:2 (f)] i = sin a [<ipython-input-2-5d59f71cb65d>:2 (f)] j = mul h i [<ipython-input-2-5d59f71cb65d>:2 (f)] in (f, j) } In [7]: print(jax.xla_computation(jax.value_and_grad(f))(7., 9.).as_hlo_module().to_string()) HloModule xla_computation_f__4.15 ENTRY %xla_computation_f__4.15 (parameter.1: f32[], parameter.2: f32[]) -> (f32[], f32[]) { %constant.3 = pred[] constant(false) %parameter.1 = f32[] parameter(0) %cosine.4 = f32[] cosine(f32[] %parameter.1), metadata={op_type="cos" op_name="xla_computation(f)/cos" source_file="<ipython-input-2-5d59f71cb65d>" source_line=2} %parameter.2 = f32[] parameter(1) %tanh.5 = f32[] tanh(f32[] %parameter.2), metadata={op_type="tanh" op_name="xla_computation(f)/tanh" source_file="<ipython-input-2-5d59f71cb65d>" source_line=3} %multiply.6 = f32[] multiply(f32[] %cosine.4, f32[] %tanh.5), metadata={op_type="mul" op_name="xla_computation(f)/mul" source_file="<ipython-input-2-5d59f71cb65d>" source_line=3} %constant.7 = f32[] constant(2), metadata={op_type="add" op_name="xla_computation(f)/add" source_file="<ipython-input-2-5d59f71cb65d>" source_line=4} %add.8 = f32[] add(f32[] %multiply.6, f32[] %constant.7), metadata={op_type="add" op_name="xla_computation(f)/add" source_file="<ipython-input-2-5d59f71cb65d>" source_line=4} %constant.9 = f32[] constant(1), metadata={op_type="mul" op_name="xla_computation(f)/mul" source_file="<ipython-input-2-5d59f71cb65d>" source_line=3} %multiply.10 = f32[] multiply(f32[] %constant.9, f32[] %tanh.5), metadata={op_type="mul" op_name="xla_computation(f)/mul" source_file="<ipython-input-2-5d59f71cb65d>" source_line=3} %negate.11 = f32[] negate(f32[] %multiply.10), metadata={op_type="neg" op_name="xla_computation(f)/neg" source_file="<ipython-input-2-5d59f71cb65d>" source_line=2} %sine.12 = f32[] sine(f32[] %parameter.1), metadata={op_type="sin" op_name="xla_computation(f)/sin" source_file="<ipython-input-2-5d59f71cb65d>" source_line=2} %multiply.13 = f32[] multiply(f32[] %negate.11, f32[] %sine.12), metadata={op_type="mul" op_name="xla_computation(f)/mul" source_file="<ipython-input-2-5d59f71cb65d>" source_line=2} ROOT %tuple.14 = (f32[], f32[]) tuple(f32[] %add.8, f32[] %multiply.13) } ``` Co-authored-by: Matthew Johnson <mattjj@google.com>
2020-06-17 19:35:36 -04:00
wheel
Reference in New Issue Copy Permalink