具体将稀疏张量sparse转换成密集张量dense如下: # If sparse_indices is scalar dense[i] = (i == sparse_indices ? sparse_values : default_value) # If sparse_indices is a vector, then for each i dense[sparse_indices[i]] = sparse_values[i] # If sparse_indices is an n by d matrix, the...
開發者ID:Wajih-O,項目名稱:tensorflow,代碼行數:11,代碼來源:sparse_ops_test.py 示例5: testHigherRank ▲點讚 1▼ deftestHigherRank(self):withself.test_session(use_gpu=False): sp_input = self._SparseTensor_2x3x4(types.int64) output = sparse_ops.sparse_to_indicator(sp_input...
sparse_ops.sparse_tensor_dense_matmul(sparse_t, dense_t).eval()# Repeat with adjoint_a, to get a different error.dense_t = np.matrix([[1] *5, [2] *5, [3] *5], dtype=np.float32)withself.assertRaisesOpError("m .10. from index.0,1. out of bounds .>=2."): spar...
大多數 sparse-mk-ops.awk 問題是由於與 Octave 相關聯的丟失或損壞的 sparse-mk-ops.awk,病毒感染或無效的視窗註冊表項所致。 主要是由以下方式生成的 sparse-mk-ops.awk 的問題: 與sparse-mk-ops.awk / Octave 相關的損壞的 Windows 登錄機碼。 惡意軟體受到污染和損壞的 sparse-mk-ops.awk. sparse-mk-...
54 changes: 54 additions & 0 deletions 54 mlir/test/Dialect/SparseTensor/no_lowering.mlir Original file line numberDiff line numberDiff line change @@ -0,0 +1,54 @@ // RUN: mlir-opt %s --lower-sparse-ops-to-foreach --split-input-file | FileCheck %s/...
du, ddelta, dA, dB, dC, dD, ddelta_bias, *rest = selective_scan_cuda.bwd( u, delta, A, B, C, D, z, delta_bias, dout, x, out, None, ctx.delta_softplus, False # option to recompute out_z, not used here ) dz = rest[0] if ctx.has_z else None dB = dB.squeeze(1)...
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浏览完整代码来源:sparse_ops_test.py项目:jon-sch/tensorflow 示例2 def_create_dummy_inputs(self):return{"sc_int":array_ops.sparse_placeholder(dtypes.int32),"sc_hash":array_ops.sparse_placeholder(dtypes.string),"sc_keys":array_ops.sparse_placeholder(dtypes.string),"sc_vocab":array_ops.sparse...
# 需要导入模块: from tensorflow.python.ops import sparse_ops [as 别名]# 或者: from tensorflow.python.ops.sparse_ops importsparse_to_dense[as 别名]def_zero_out_grad(op, grad):"""The gradients for `zero_out`. Args: op: The `zero_out` `Operation` that we are differentiating, which w...