tensor-sensor

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"""
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MIT License
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Copyright (c) 2021 Terence Parr
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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"""
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import jax.numpy as jnp
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import numpy as np
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import tsensor
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def test_dot():
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    size = 5000
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    x = np.random.normal(size=(size, size)).astype(np.float32)
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    y = np.random.normal(size=(5, 1)).astype(np.float32)
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    msg = ""
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    try:
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        with tsensor.clarify():
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            z = jnp.dot(x, y).block_until_ready()
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    except TypeError as e:
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        msg = e.args[0]
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    expected = "Incompatible shapes for dot: got (5000, 5000) and (5, 1).\n"+\
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               "Cause: jnp.dot(x, y) tensor arg x w/shape (5000, 5000), arg y w/shape (5, 1)"
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    assert msg==expected
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def test_scalar_arg():
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    size = 5000
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    x = np.random.normal(size=(size, size)).astype(np.float32)
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    msg = ""
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    try:
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        with tsensor.clarify():
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            z = jnp.dot(x, "foo")
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    except TypeError as e:
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        msg = e.args[0]
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    expected = 'data type \'foo\' not understood\n'+\
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               'Cause: jnp.dot(x, "foo") tensor arg x w/shape (5000, 5000)'
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    assert msg==expected
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def test_mmul():
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    W = jnp.array([[1, 2], [3, 4]])
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    b = jnp.array([9, 10, 11])
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    msg = ""
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    try:
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        with tsensor.clarify():
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            y = W @ b
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    except TypeError as e:
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        msg = e.args[0]
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    expected = "dot_general requires contracting dimensions to have the same shape, got [2] and [3].\n"+\
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               "Cause: @ on tensor operand W w/shape (2, 2) and operand b w/shape (3,)"
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    assert msg==expected
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def test_fft():
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    "Test a library function that doesn't have a shape related message in the exception."
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    x = np.exp(2j * np.pi * np.arange(8) / 8)
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    msg = ""
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    try:
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        with tsensor.clarify():
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            y = jnp.fft.fft(x, norm="something weird")
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    except BaseException as e:
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        msg = e.args[0]
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        print(msg)
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    expected = 'jax.numpy.fft.fft only supports norm=None, got something weird\n'+\
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               'Cause: jnp.fft.fft(x, norm="something weird") tensor arg x w/shape (8,)'
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    assert msg==expected
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