/external/tensorflow/tensorflow/python/ops/linalg/sparse/ |
D | sparse_csr_matrix_grad.py | 105 matmul = math_ops.matmul 115 grad_a_dense = matmul(grad, b, transpose_b=not t_b) 117 grad_a_dense = matmul(b, grad, transpose_a=t_b, transpose_b=True) 121 grad_a_dense = matmul(grad, b, adjoint_b=not adj_b) 123 grad_a_dense = matmul(b, grad, adjoint_a=adj_b, adjoint_b=True) 131 grad_a_dense = matmul(b, grad, transpose_a=True, adjoint_b=True) 134 grad_a_dense = matmul(b, grad, transpose_a=True, transpose_b=True) 143 grad_a_dense = matmul(grad, b, transpose_a=True, transpose_b=not t_b) 145 grad_a_dense = matmul(b, grad, transpose_a=t_b) 150 grad_a_dense = matmul(grad, b, transpose_a=True, adjoint_b=not adj_b) [all …]
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/external/tensorflow/tensorflow/compiler/aot/tests/ |
D | tfcompile_test.cc | 248 foo::bar::MatMulComp matmul; in TEST() local 249 matmul.set_thread_pool(&device); in TEST() 250 EXPECT_EQ(matmul.arg0_data(), matmul.arg_data(0)); in TEST() 251 EXPECT_EQ(matmul.arg1_data(), matmul.arg_data(1)); in TEST() 255 matmul.arg0(0, 0) = 1; in TEST() 256 matmul.arg0(0, 1) = 2; in TEST() 257 matmul.arg0(0, 2) = 3; in TEST() 258 matmul.arg0(1, 0) = 4; in TEST() 259 matmul.arg0(1, 1) = 5; in TEST() 260 matmul.arg0(1, 2) = 6; in TEST() [all …]
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/external/tensorflow/tensorflow/python/ops/ |
D | linalg_grad.py | 54 return -math_ops.matmul( 55 ainv, math_ops.matmul(grad, ainv, adjoint_b=True), adjoint_a=True) 471 middle = math_ops.matmul(l, grad, adjoint_a=True) 476 grad_a = math_ops.matmul( 477 math_ops.matmul(l_inverse, middle, adjoint_a=True), l_inverse) 496 qdq = math_ops.matmul(q, dq, adjoint_a=True) 498 rdr = math_ops.matmul(r, dr, adjoint_b=True) 508 grad_a = math_ops.matmul(q, dr + _TriangularSolve(tril, r)) 509 grad_b = _TriangularSolve(dq - math_ops.matmul(q, qdq), r) 521 grad_a = -math_ops.matmul(c, grad_b, adjoint_b=True) [all …]
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D | init_ops.py | 733 return math_ops.matmul(c, array_ops.matrix_transpose(c)) 808 kernel2x2[0, 0] = math_ops.matmul(p1, p2) 809 kernel2x2[0, 1] = math_ops.matmul(p1, (eye - p2)) 810 kernel2x2[1, 0] = math_ops.matmul((eye - p1), p2) 811 kernel2x2[1, 1] = math_ops.matmul((eye - p1), (eye - p2)) 843 result[i, j] += math_ops.matmul(m1[index1, index2], 875 p[i, j] = math_ops.matmul(orth, p[i, j]) 972 result[i] += math_ops.matmul(m1[index], m2[i - index]) 1000 p[i] = math_ops.matmul(orth, p[i]) 1082 def matmul(p1, p2, p3): function [all …]
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/external/tensorflow/tensorflow/python/eager/ |
D | tape_test.py | 38 mm = math_ops.matmul(a, b) 43 math_ops.matmul(dmm, b, transpose_b=True) + 44 math_ops.matmul(array_ops.ones_like(b * dr), b, transpose_b=True), 45 math_ops.matmul(a, dmm, transpose_b=True) + 46 math_ops.matmul(a, array_ops.ones_like(a) * dr, transpose_b=True) 89 mm = math_ops.matmul(a, b) 96 math_ops.matmul( 103 mm = math_ops.matmul(a, b) 110 math_ops.matmul( 117 mm = math_ops.matmul(a, b) [all …]
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D | function_test.py | 144 matmul = def_function.function(math_ops.matmul) 146 sq = matmul(t, t, transpose_a=True) 147 sq2 = matmul(sq, t, transpose_a=True) 483 matmul = def_function.function(math_ops.matmul) 487 return matmul(a, a) 491 self.assertAllEqual(out, math_ops.matmul(t, t).numpy()) 494 matmul = def_function.function(math_ops.matmul) 500 return matmul(inputs.a['a'], inputs.b['b']) 505 self.assertAllEqual(out, math_ops.matmul(t, t).numpy()) 508 matmul = def_function.function(math_ops.matmul) [all …]
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/external/tensorflow/tensorflow/c/eager/ |
D | c_api_remote_test.cc | 87 TFE_Op* matmul = MatMulOp(ctx, h0_task1, h1_task1); in TestRemoteExecute() local 88 TFE_OpSetDevice(matmul, remote_device_name, status); in TestRemoteExecute() 93 TFE_Execute(matmul, &retvals[0], &num_retvals, status); in TestRemoteExecute() 113 TFE_DeleteOp(matmul); in TestRemoteExecute() 171 TFE_Op* matmul = MatMulOp(ctx, h0_task0, h1_task2); in TestRemoteExecuteSilentCopies() local 172 TFE_OpSetDevice(matmul, task1_name, status); in TestRemoteExecuteSilentCopies() 177 TFE_Execute(matmul, &retvals[0], &num_retvals, status); in TestRemoteExecuteSilentCopies() 201 TFE_DeleteOp(matmul); in TestRemoteExecuteSilentCopies() 260 TFE_Op* matmul = MatMulOp(ctx, h0_task1, h1_task1); in TestRemoteExecuteDeleteContextWithOutstandingRPC() local 261 TFE_OpSetDevice(matmul, remote_device_name, status); in TestRemoteExecuteDeleteContextWithOutstandingRPC() [all …]
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D | c_api_test.cc | 50 TFE_Op* matmul = MatMulOp(ctx, m, m); in BM_InitOp() local 51 TFE_DeleteOp(matmul); in BM_InitOp() 72 TFE_Op* matmul = MatMulOp(ctx, m, m); in BM_Execute() local 77 TFE_Execute(matmul, &retvals[0], &num_retvals, status); in BM_Execute() 87 TFE_DeleteOp(matmul); in BM_Execute() 387 TFE_Op* matmul = MatMulOp(ctx, hcpu, hgpu); in TensorHandleSilentCopy() local 388 TFE_OpSetDevice(matmul, gpu_device_name.c_str(), status.get()); in TensorHandleSilentCopy() 392 TFE_Execute(matmul, &retvals[0], &num_retvals, status.get()); in TensorHandleSilentCopy() 394 TFE_DeleteOp(matmul); in TensorHandleSilentCopy() 435 TFE_Op* matmul = MatMulOp(ctx, hcpu, hgpu); in TensorHandleSilentCopyLocal() local [all …]
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/external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
D | linear_operator_adjoint_test.py | 128 np.matmul(matrix1, matrix2.T), 130 full_matrix1.matmul(full_matrix2, adjoint_arg=True).to_dense())) 133 np.matmul(matrix1.T, matrix2), 135 full_matrix1.matmul(full_matrix2, adjoint=True).to_dense())) 138 np.matmul(matrix1.T, matrix2.T), 140 full_matrix1.matmul( 152 np.matmul(matrix1, matrix2.conj().T), 154 full_matrix1.matmul(full_matrix2, adjoint_arg=True).to_dense())) 157 np.matmul(matrix1.conj().T, matrix2), 159 full_matrix1.matmul(full_matrix2, adjoint=True).to_dense())) [all …]
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D | linear_operator_identity_test.py | 88 y = operator.matmul(x) 152 operator.matmul(x) 163 self.evaluate(operator.matmul(x)) 173 operator_matmul = operator.matmul(x) 187 operator_matmul = operator.matmul(x) 209 operator_matmul = operator.matmul(x) 233 operator_matmul = operator.matmul(x) 378 y = operator.matmul(x) 392 operator.matmul(x) 405 self.evaluate(operator.matmul(x)) [all …]
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D | linear_operator_test.py | 90 return math_ops.matmul( 222 operator_matmul = operator1.matmul(operator1) 239 operator_matmul = operator2.matmul(operator2) 257 operator_matmul = operator1.matmul(operator1) 274 operator_matmul = operator2.matmul(operator2, adjoint_arg=True) 303 self.assertTrue(operator1.matmul(operator2).is_square) 304 self.assertTrue(operator2.matmul(operator1).is_square) 305 self.assertFalse(operator1.matmul(operator3).is_square) 345 op_val = operator.matmul( 347 matmul_val = math_ops.matmul( [all …]
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D | linear_operator_lower_triangular_test.py | 96 operator_matmul = operator1.matmul(operator2) 101 math_ops.matmul( 106 operator_matmul = operator2.matmul(operator1) 111 math_ops.matmul(
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D | linear_operator_diag_test.py | 150 operator_matmul = operator.matmul(x) 151 mat_matmul = math_ops.matmul(mat, x) 165 operator_matmul = operator1.matmul(operator2) 171 operator_matmul = operator2.matmul(operator1) 177 operator_matmul = operator1.matmul(operator3) 183 operator_matmul = operator3.matmul(operator1)
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/external/tensorflow/tensorflow/python/ops/linalg/ |
D | linear_operator_low_rank_update.py | 349 leading_term = l.matmul(x, adjoint=adjoint, adjoint_arg=adjoint_arg) 352 uh_x = math_ops.matmul(u, x, adjoint_a=True, adjoint_b=adjoint_arg) 353 d_uh_x = d.matmul(uh_x, adjoint=adjoint) 354 v_d_uh_x = math_ops.matmul(v, d_uh_x) 357 vh_x = math_ops.matmul(v, x, adjoint_a=True, adjoint_b=adjoint_arg) 358 d_vh_x = d.matmul(vh_x, adjoint=adjoint) 359 u_d_vh_x = math_ops.matmul(u, d_vh_x) 421 vh_linv_rhs = math_ops.matmul(v, linv_rhs, adjoint_a=True) 430 u_capinv_vh_linv_rhs = math_ops.matmul(u, capinv_vh_linv_rhs) 444 vh_linv_u = math_ops.matmul(self.v, linv_u, adjoint_a=True)
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D | linalg_impl.py | 141 matrix_2 = math_ops.matmul(matrix, matrix) 143 matrix_u = math_ops.matmul(matrix, tmp) 156 matrix_2 = math_ops.matmul(matrix, matrix) 157 matrix_4 = math_ops.matmul(matrix_2, matrix_2) 159 matrix_u = math_ops.matmul(matrix, tmp) 172 matrix_2 = math_ops.matmul(matrix, matrix) 173 matrix_4 = math_ops.matmul(matrix_2, matrix_2) 174 matrix_6 = math_ops.matmul(matrix_4, matrix_2) 176 matrix_u = math_ops.matmul(matrix, tmp) 192 matrix_2 = math_ops.matmul(matrix, matrix) [all …]
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/external/tensorflow/tensorflow/cc/profiler/ |
D | profiler_test.cc | 137 const GraphNodeProto* matmul = ExtractNode(ret, "y"); in TEST_F() local 138 EXPECT_TRUE(matmul); in TEST_F() 139 EXPECT_GT(matmul->exec_micros(), 0); in TEST_F() 141 EXPECT_GT(matmul->accelerator_exec_micros(), 0); in TEST_F() 143 EXPECT_EQ(matmul->accelerator_exec_micros(), 0); in TEST_F()
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | matmul_op_test.py | 92 res = math_ops.matmul(a, b, **kwargs_) 97 res = math_ops.matmul(a, b, **kwargs_) 133 lambda x: math_ops.matmul(x, effective_b_np, **kwargs_), 139 lambda x: math_ops.matmul(effective_a_np, x, **kwargs_), 153 math_ops.matmul(a, b) 164 math_ops.matmul(a, b, transpose_a=True) 174 infix_matmul = operator.matmul 222 d = math_ops.matmul(a, b)
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D | cholesky_op_test.py | 45 middle = math_ops.matmul(l, grad, adjoint_a=True) 49 grad_a = math_ops.matmul( 50 math_ops.matmul(l_inverse, middle, adjoint_a=True), l_inverse) 59 middle = math_ops.matmul(l, grad, adjoint_a=True) 111 verification = math_ops.matmul(chol, chol, adjoint_b=True) 183 matrix1 = math_ops.matmul(matrix1, matrix1, adjoint_a=True) 184 matrix2 = math_ops.matmul(matrix2, matrix2, adjoint_a=True) 263 tensor = math_ops.matmul( 275 tensor = math_ops.matmul(
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D | eig_op_test.py | 89 np.matmul(v, v.transpose()), np.eye(32, dtype=np.float32), atol=2e-3) 91 np.matmul(np.matmul(v, np.diag(e)), v.transpose())) 167 a_ev = math_ops.matmul( 168 math_ops.matmul(tf_v, array_ops.matrix_diag(tf_e)),
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/external/tensorflow/tensorflow/python/compiler/tensorrt/test/ |
D | biasadd_matmul_test.py | 44 x1 = math_ops.matmul(x, b) 50 x2 = math_ops.matmul(x2, b, transpose_a=True) 55 x3 = math_ops.matmul(x, b, transpose_b=True) 59 x4 = math_ops.matmul(x4, b, transpose_b=True, transpose_a=True) 65 x5 = math_ops.matmul(x, b)
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D | batch_matmul_test.py | 36 x1 = math_ops.matmul(inp, inp1, name="matmul") 57 x1 = math_ops.matmul(inp, b, name="matmul") 75 x1 = math_ops.matmul(inp, b, name="matmul")
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/external/tensorflow/tensorflow/python/data/experimental/benchmarks/ |
D | autotune_benchmark.py | 79 math_ops.matmul, num_parallel_calls=dataset_ops.AUTOTUNE) 101 math_ops.matmul, num_parallel_calls=dataset_ops.AUTOTUNE) 122 dataset = dataset.map(math_ops.matmul) 153 return math_ops.matmul(x, y) 157 return a, math_ops.matmul(x, y) 206 math_ops.matmul, num_parallel_calls=dataset_ops.AUTOTUNE) 220 math_ops.matmul, num_parallel_calls=dataset_ops.AUTOTUNE)
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/external/tensorflow/tensorflow/core/kernels/ |
D | matmul_op_test.cc | 104 ops::MatMul matmul = ops::MatMul( in RunMatMulWithBias() local 111 root.WithOpName("with_bias"), matmul, in RunMatMulWithBias() 123 ops::MatMul matmul = ops::MatMul( in RunMatMulWithBiasAndActivation() local 130 root.WithOpName("with_bias"), matmul, in RunMatMulWithBiasAndActivation() 203 Tensor matmul; in VerifyBiasAddTensorsNear() local 206 run_default(lhs, rhs, bias, &matmul); in VerifyBiasAddTensorsNear() 209 ASSERT_EQ(matmul.dtype(), fused_matmul.dtype()); in VerifyBiasAddTensorsNear() 210 ASSERT_EQ(matmul.shape(), fused_matmul.shape()); in VerifyBiasAddTensorsNear() 212 test::ExpectClose(matmul, fused_matmul, /*atol=*/1e-5); in VerifyBiasAddTensorsNear()
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/external/tensorflow/tensorflow/examples/speech_commands/ |
D | models.py | 200 logits = tf.matmul(fingerprint_input, weights) + bias 326 final_fc = tf.matmul(flattened_second_conv, final_fc_weights) + final_fc_bias 427 first_fc = tf.matmul(flattened_first_conv, first_fc_weights) + first_fc_bias 441 second_fc = tf.matmul(second_fc_input, second_fc_weights) + second_fc_bias 455 final_fc = tf.matmul(final_fc_input, final_fc_weights) + final_fc_bias 606 outputs = tf.matmul(activations_time, weights_time) 640 first_fc = tf.matmul(first_dropout, first_fc_weights) + first_fc_bias 654 second_fc = tf.matmul(second_fc_input, second_fc_weights) + second_fc_bias 668 final_fc = tf.matmul(final_fc_input, final_fc_weights) + final_fc_bias 760 tf.matmul(flattened_first_dropout, final_fc_weights) + final_fc_bias) [all …]
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/external/tensorflow/tensorflow/examples/tutorials/mnist/ |
D | mnist.py | 64 hidden1 = tf.nn.relu(tf.matmul(images, weights) + biases) 73 hidden2 = tf.nn.relu(tf.matmul(hidden1, weights) + biases) 82 logits = tf.matmul(hidden2, weights) + biases
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