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Searched refs:BatchMatMulV2 (Results 1 – 25 of 29) sorted by relevance

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/external/tensorflow/tensorflow/compiler/mlir/xla/tests/
Dlegalize-tf-BatchMatMulV2.mlir4 // tf.BatchMatMulV2 op legalizations.
24 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) {T = f32, adj_x = false, adj_y = false, device = ""} : (tens…
36 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) {T = f32, adj_x = false, adj_y = false, device = ""} : (tens…
48 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) {T = f32, adj_x = false, adj_y = false, device = ""} : (tens…
59 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) {T = f32, adj_x = false, adj_y = false, device = ""} : (tens…
70 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) {adj_x = true, adj_y = true, device = ""} : (tensor<2x5xf32>…
87 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) {adj_x = true, adj_y = true, device = ""} : (tensor<2x5xcomp…
Dlegalize-tf-include-tf2xla-fallback.mlir40 // BatchMatMulV2 has native as well as fallback lowering patterns available.
55 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) {T = f32, adj_x = false, adj_y = false, device = ""} : (tens…
/external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/
Deinsum.mlir7 …// CHECK: "tf.BatchMatMulV2"(%arg0, %arg1) {adj_x = false, adj_y = false} : (tensor<3x4x5xf32>, te…
14 …// CHECK: %[[v0:.*]] = "tf.BatchMatMulV2"(%arg0, %arg1) {adj_x = false, adj_y = false} : (tensor<7…
22 …// CHECK: "tf.BatchMatMulV2"(%arg0, %arg1) {adj_x = false, adj_y = false} : (tensor<3x4x5xf32>, te…
29 …// CHECK: "tf.BatchMatMulV2"(%arg0, %arg1) {adj_x = false, adj_y = false} : (tensor<3x4x5x6x7xf32>…
41 …// CHECK: %[[v2:.*]] = "tf.BatchMatMulV2"(%[[v0]], %[[v1]]) {adj_x = false, adj_y = false} : (tens…
54 …// CHECK: %[[v2:.*]] = "tf.BatchMatMulV2"(%[[v0]], %[[v1]]) {adj_x = false, adj_y = false} : (tens…
66 …// CHECK: "tf.BatchMatMulV2"(%[[v0]], %[[v1]]) {adj_x = false, adj_y = false} : (tensor<2x7x5x3xf3…
77 …// CHECK: "tf.BatchMatMulV2"(%[[v0]], %[[v1]]) {adj_x = false, adj_y = false} : (tensor<2x5x21xf32…
87 …// CHECK: %[[v1:.*]] = "tf.BatchMatMulV2"(%arg0, %[[v0]]) {adj_x = false, adj_y = false} : (tensor…
99 …// CHECK: %[[v1:.*]] = "tf.BatchMatMulV2"(%[[v0]], %arg1) {adj_x = false, adj_y = false} : (tensor…
[all …]
Dfold-broadcast.mlir80 …%1 = "tf.BatchMatMulV2"(%arg0, %0) {adj_x = false, adj_y = false} : (tensor<17x17x17xf32>, tensor<…
82 …// CHECK: %[[V0:.*]] = "tf.BatchMatMulV2"(%arg0, %arg1) {adj_x = false, adj_y = false} : (tensor<1…
90 …%1 = "tf.BatchMatMulV2"(%0, %arg1) {adj_x = false, adj_y = false} : (tensor<17x17x17xf32>, tensor<…
92 …// CHECK: %[[V0:.*]] = "tf.BatchMatMulV2"(%arg0, %arg1) {adj_x = false, adj_y = false} : (tensor<1…
100 …%1 = "tf.BatchMatMulV2"(%0, %arg1) {adj_x = false, adj_y = false} : (tensor<17x17x17xf32>, tensor<…
103 // CHECK: "tf.BatchMatMulV2"(%[[V0]], %arg1)
Dbatchmatmul_to_einsum.mlir42 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) {adj_x = true, adj_y = false} : (tensor<1x3x2xf32>, tensor<3…
Dunroll-batch-matmul.mlir4 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) : (tensor<2x3x4x5xf32>, tensor<2x3x5x6xf32>) -> tensor<2x3x4…
66 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) : (tensor<3x4x5xf32>, tensor<3x5x6xf32>) -> tensor<3x4x6xf32>
104 %0 = "tf.BatchMatMulV2"(%arg0, %arg1) : (tensor<4x5xf32>, tensor<5x6xf32>) -> tensor<4x6xf32>
Dtf-ops.mlir3611 %0 = "tf.BatchMatMulV2"(%lhs, %rhs) : (tensor<f32>, tensor<10x10xf32>) -> tensor<10x10xf32>
3618 %0 = "tf.BatchMatMulV2"(%lhs, %rhs) : (tensor<10x10xf32>, tensor<f32>) -> tensor<10x10xf32>
3625 %0 = "tf.BatchMatMulV2"(%lhs, %rhs) : (tensor<5x10xf32>, tensor<10x10xf32>) -> tensor<5x10xf32>
3633 …%0 = "tf.BatchMatMulV2"(%lhs, %rhs) : (tensor<10x2x5x10xf32>, tensor<10x10xf32>) -> tensor<10x2x5x…
3641 …%0 = "tf.BatchMatMulV2"(%lhs, %rhs) { adj_x = true } : (tensor<4x5x1x3x2xf32>, tensor<1x1x3x5xf32>…
3649 …%0 = "tf.BatchMatMulV2"(%lhs, %rhs) : (tensor<10x2x5x10xf32>, tensor<10x10x10xf32>) -> tensor<10x1…
3656 …%0 = "tf.BatchMatMulV2"(%lhs, %rhs) : (tensor<10x2x5x10xf32>, tensor<10x10x10x10xf32>) -> tensor<1…
3663 …%0 = "tf.BatchMatMulV2"(%lhs, %rhs) : (tensor<2x5x10xf32>, tensor<10x10x10x10xf32>) -> tensor<10x1…
3670 …%0 = "tf.BatchMatMulV2"(%lhs, %rhs) : (tensor<10x2x5x10xf32>, tensor<2x10x10xf32>) -> tensor<10x3x…
3677 …%0 = "tf.BatchMatMulV2"(%lhs, %rhs) : (tensor<10x2x5x10xf32>, tensor<10x1x10x10xf32>) -> tensor<10…
[all …]
Dlegalize_hlo.mlir1485 // CHECK: %[[VAL_4:.*]] = "tf.BatchMatMulV2"(%[[VAL_3]], %[[VAL_1]]) {adj_x = false, adj_…
1500 // CHECK: %[[VAL_4:.*]] = "tf.BatchMatMulV2"(%[[VAL_0]], %[[VAL_3]]) {adj_x = false, adj_…
1517 // CHECK: %[[VAL_6:.*]] = "tf.BatchMatMulV2"(%[[VAL_3]], %[[VAL_5]]) {adj_x = false, adj_…
1530 // CHECK: %[[VAL_2:.*]] = "tf.BatchMatMulV2"(%[[VAL_0]], %[[VAL_1]]) {adj_x = false, adj_…
1545 // CHECK: %[[VAL_6:.*]] = "tf.BatchMatMulV2"(%[[VAL_5]], %[[VAL_1]]) {adj_x = false, adj_…
1590 // CHECK: %[[VAL_10:.*]] = "tf.BatchMatMulV2"(%[[VAL_7]], %[[VAL_9]]) {adj_x = false, adj…
1605 // CHECK: %[[VAL_4:.*]] = "tf.BatchMatMulV2"(%[[VAL_3]], %[[VAL_1]]) {adj_x = false, adj_…
Dcanonicalize.mlir21 // CHECK: tf.BatchMatMulV2
44 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) {adj_x = true, adj_y = false} : (tensor<4x3xf32>, tensor<4x5…
/external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/
DBatchMatMulV2.pbtxt2 name: "BatchMatMulV2"
47 name: "BatchMatMulV2"
/external/tensorflow/tensorflow/core/ops/
Dmath_grad_test.cc280 Tensor BatchMatMulV2(const Tensor& x, bool ax, const Tensor& y, bool ay) { in BatchMatMulV2() function in tensorflow::__anona51524880111::MathGradTest
1238 test::ExpectClose(dx, BatchMatMulV2(dz, false, y, true)); in TEST_F()
1239 test::ExpectClose(dy, BatchMatMulV2(x, true, dz, false)); in TEST_F()
1250 test::ExpectClose(dx, BatchMatMulV2(dz, false, y, false)); in TEST_F()
1251 test::ExpectClose(dy, BatchMatMulV2(dz, true, x, false)); in TEST_F()
1262 test::ExpectClose(dx, BatchMatMulV2(y, false, dz, true)); in TEST_F()
1263 test::ExpectClose(dy, BatchMatMulV2(x, false, dz, false)); in TEST_F()
1274 test::ExpectClose(dx, BatchMatMulV2(y, true, dz, true)); in TEST_F()
1275 test::ExpectClose(dy, BatchMatMulV2(dz, true, x, true)); in TEST_F()
1292 CHECK(ans_dx.CopyFrom(ReduceSum(BatchMatMulV2(dz, false, y, true), {0}), in TEST_F()
[all …]
/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_BatchMatMulV2.pbtxt2 graph_op_name: "BatchMatMulV2"
54 *NOTE*: `BatchMatMulV2` supports broadcasting in the batch dimensions. More
/external/tensorflow/tensorflow/core/api_def/python_api/
Dapi_def_BatchMatMulV2.pbtxt2 graph_op_name: "BatchMatMulV2"
/external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/
DBatchMatMulV2.pbtxt2 name: "BatchMatMulV2"
/external/tensorflow/tensorflow/compiler/jit/tests/
Dopens2s_gnmt_mixed_precision.golden_summary180 BatchMatMulV2 1
215 BatchMatMulV2 2
/external/tensorflow/tensorflow/compiler/mlir/lite/tests/
Dprepare-composite-functions-tf.mlir13 …%8 = "tf.BatchMatMulV2"(%7, %arg0) {adj_x = false, adj_y = false} : (tensor<*xf32>, tensor<*xf32>)…
18 …%0 = "tf.BatchMatMulV2"(%arg3, %arg1) {adj_x = false, adj_y = false} : (tensor<1x3xf32>, tensor<3x…
26 …%0 = "tf.BatchMatMulV2"(%arg3, %arg1) {adj_x = false, adj_y = false} : (tensor<1x3xf32>, tensor<3x…
160 …%0 = "tf.BatchMatMulV2"(%arg3, %arg1) {adj_x = false, adj_y = false} : (tensor<*xf32>, tensor<*xf3…
169 …%0 = "tf.BatchMatMulV2"(%arg3, %arg1) {adj_x = false, adj_y = false} : (tensor<*xf32>, tensor<*xf3…
182 …%0 = "tf.BatchMatMulV2"(%arg0, %arg3) {adj_x = false, adj_y = false} : (tensor<?x8x8xf32>, tensor<…
184 …%2 = "tf.BatchMatMulV2"(%1, %arg4) {adj_x = false, adj_y = true} : (tensor<?x8x40xf32>, tensor<10x…
223 …%0 = "tf.BatchMatMulV2"(%arg0, %arg3) {adj_x = false, adj_y = false} : (tensor<8x8x8xf32>, tensor<…
225 …%2 = "tf.BatchMatMulV2"(%1, %arg4) {adj_x = false, adj_y = true} : (tensor<8x8x40xf32>, tensor<10x…
265 …%0 = "tf.BatchMatMulV2"(%arg0, %arg3) {adj_x = false, adj_y = false} : (tensor<?x8x8xf32>, tensor<…
[all …]
Dlegalize-tf.mlir1713 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", device = "/device:CPU:0", name = "M…
1721 …%0 = "tf.BatchMatMulV2"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", device = "/device:CPU:0", name = "M…
/external/tensorflow/tensorflow/compiler/mlir/tensorflow/transforms/
Dcanonicalize.td59 // dimensions and can be upgraded to the BatchMatMulV2 op. Canonicalizing
73 // BatchMatMulV2 op patterns.
/external/tensorflow/tensorflow/compiler/mlir/lite/tests/end2end/
Dunroll_batch_matmul.pbtxt54 op: "BatchMatMulV2"
/external/tensorflow/tensorflow/lite/g3doc/guide/
Dop_select_allowlist.md57 * `raw_ops.BatchMatMulV2`
/external/tensorflow/tensorflow/compiler/mlir/tosa/g3doc/
Dlegalization.md1340 ### tf.BatchMatMulV2
1347 %output = tf.BatchMatMulV2(%x, %y, %adj_x, %adj_y)
/external/tensorflow/tensorflow/core/grappler/optimizers/
Darithmetic_optimizer_test.cc735 matmul = ops::BatchMatMulV2(matmul_op, trans_a, trans_b); in TEST_F()
/external/tensorflow/tensorflow/compiler/mlir/lite/ir/
Dtfl_ops.td1012 conventions of TensorFlow BatchMatMulV2, with support for unknown dimensions
/external/tensorflow/
DRELEASE.md2083 * Add C++ Gradient for `BatchMatMulV2`.
2407 * Add C++ Gradient for BatchMatMulV2.
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.raw_ops.pbtxt368 name: "BatchMatMulV2"

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