- 26 8月, 2022 1 次提交
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由 wanghuancoder 提交于
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- 14 6月, 2022 1 次提交
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由 xiongkun 提交于
* change logic for optimize * modifty * optimize the backward speed of EinsumOp * add cache optimizer for einsum op * EinsumOp: fix new dygraph mode error * fix bug * change Cache->InnerCache * fix code * fix * add nan inf utils for einsum op * add as_extra * memory optimizer for einsum * update code
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- 05 6月, 2022 1 次提交
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由 Sing_chan 提交于
* use yapf to format all python file * yapf exclude two unittests file for they rely on writing and reading file, and format will break them * disable diff_py_file because too many diff files cause command following failed
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- 27 5月, 2022 1 次提交
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由 xiongkun 提交于
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- 25 5月, 2022 1 次提交
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由 xiongkun 提交于
* change logic for optimize * modifty * optimize the backward speed of EinsumOp * add cache optimizer for einsum op * EinsumOp: fix new dygraph mode error * fix bug * change Cache->InnerCache * fix code * fix * add nan inf utils for einsum op * add as_extra * Compatible with v2.3 EinsumOp * remove dispensable
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- 29 4月, 2022 1 次提交
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由 xiongkun 提交于
* Extend python einsum interface to make einsum_v2 support multi-operands and switch it to default. * add opt_einsum dependence * add yaml and support eager model * fix by code review
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- 26 4月, 2022 1 次提交
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由 xiongkun 提交于
* full api fix * when out is None, go old dygraph mode * by static check * first version: support 2-inputs forwards. TODO: 1. backward 2. BroadCast 3. MultiVariable * time out -> 120
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- 15 3月, 2022 1 次提交
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由 Tongxin Bai 提交于
* formatted. * Remove dead code. * Fix error message in the unit test. * polish formats. * [Einsum] fix bugs.
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- 22 2月, 2022 1 次提交
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由 zhiboniu 提交于
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- 17 11月, 2021 1 次提交
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由 Tongxin Bai 提交于
* [Einsum] correct output dimension errors due to single element tensors. * [Einsum] format polish.
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- 13 8月, 2021 1 次提交
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由 Tongxin Bai 提交于
* OP dot: refactor CPU kernels and get better loop performance. * Minor fix on code format. * Fixed minor errors. * Add new API: einsum * Update the Einsum unit test. One case failed with matmul_v2, where the dtype is int64: a = np.arange(2 * 3 * 1).reshape(2, 3, 1) b = np.arange(1) paddle.einsum("...i, ...i", a, b) * Test cases in test_einsum test floating point dtypes only. As of now Paddle only supports float/double dtypes in matmul, which is one of building blocks of this Einsum implementation. We decide not to test einsum against other dtypes. * Polish format. * More formatting. * Format... * Einsum: improve test coverage. * Einsum: bug fixes and more testcases for testing error messages * Einsum: fix format.. * Einsum: fixed typo and format. * Einsum: format again... * Einsum: applied suggested changes. * Einsum API: improve API documentation. * Einsum API: apply suggested changes. * Einsum API: Add dygraph only note. * Einsum API: Add dygraph only note. * Einsum API: fixed unittest.
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