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Results 1 - 10 of 20 for BatchMatMulV2 (0.29 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-BatchMatMulV2.mlir
// RUN: tf-opt -xla-legalize-tf %s | FileCheck %s //===----------------------------------------------------------------------===// // tf.BatchMatMulV2 op legalizations. //===----------------------------------------------------------------------===// func.func @batchmatmulv2_basic(%arg0: tensor<1x4x2xf32>, %arg1: tensor<3x2x4xf32>) -> tensor<3x4x4xf32> { // CHECK-LABEL: func @batchmatmulv2_basic
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 5.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir
%0 = "tf.Einsum"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", equation = "ijk,ikm->ijm"}: (tensor<3x4x5xf32>, tensor<3x5x6xf32>) -> tensor<3x4x6xf32> func.return %0 : tensor<3x4x6xf32> // CHECK-LABEL: einsum_basic // CHECK: "tf.BatchMatMulV2"(%arg0, %arg1) <{adj_x = false, adj_y = false}> : (tensor<3x4x5xf32>, tensor<3x5x6xf32>) -> tensor<3x4x6xf32> } func.func @einsum_matmul(%arg0: tensor<7x9xf32>, %arg1: tensor<9x5xf32>) -> tensor<7x5xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
%0 = "tf.BatchMatMulV2"(%arg0, %arg3) {adj_x = false, adj_y = false} : (tensor<?x8x8xf32>, tensor<8x40xf32>) -> tensor<?x8x40xf32> %1 = "tf.Add"(%0, %arg5) : (tensor<?x8x40xf32>, tensor<40xf32>) -> tensor<?x8x40xf32> %2 = "tf.BatchMatMulV2"(%1, %arg4) {adj_x = false, adj_y = true} : (tensor<?x8x40xf32>, tensor<10x40xf32>) -> tensor<?x8x10xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/unroll_batch_matmul_disabled.pbtxt
key: "shape" value { shape { dim { size: 3 } dim { size: 7 } } } } } node { name: "MatMul" op: "BatchMatMulV2" input: "Placeholder" input: "Placeholder_1" attr { key: "T" value { type: DT_FLOAT } } attr { key: "adj_x" value { b: false } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/unroll_batch_matmul.pbtxt
key: "shape" value { shape { dim { size: 3 } dim { size: 7 } } } } } node { name: "MatMul" op: "BatchMatMulV2" input: "Placeholder" input: "Placeholder_1" attr { key: "T" value { type: DT_FLOAT } } attr { key: "adj_x" value { b: false } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_test.cc
} INSTANTIATE_TEST_SUITE_P( BatchMatMulTest, BatchMatMulTest, ::testing::ValuesIn<MatMulTestCase>({ {"BatchMatMul"}, {"BatchMatMulV2"}, {"BatchMatMulV3"}, }), [](const ::testing::TestParamInfo<BatchMatMulTest::ParamType>& info) { return info.param.mat_mul_method; }); TEST(LegalizeTFTest, DumpsProducedHLO) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 23:59:33 UTC 2024 - 16.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library.mlir
%2 = "tf.Cast"(%identity) {Truncate = false} : (tensor<*xi8>) -> tensor<*xi32> %3 = "tf.Sub"(%2, %weight_zp) : (tensor<*xi32>, tensor<*xi32>) -> tensor<*xi32> %5 = "tf.BatchMatMulV2"(%1, %3) { attr_map = "adj_x:0,adj_y:1" } : (tensor<*xi32>, tensor<*xi32>) -> tensor<*xi32> func.return %5 : tensor<*xi32> } // Einsum with int32 accumulation.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jan 08 01:16:10 UTC 2024 - 30.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/einsum.cc
for (int64_t i = 0; i < input.size(); ++i) { output[permutation[i]] = input[i]; } return output; } // Computes the transpositions required to convert dnums to one supported by // tf.BatchMatmulV2 and returns the new set of dimension numbers with them. // Transposed LHS shape will be B0,...,Bn,L0,...,Ln,C0,...,Cn and, // transposed RHS shape will be B0,...,Bn,C0,...,Cn,R0,...,Rn respectively.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 33.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_lifting.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 03:24:59 UTC 2024 - 33.3K bytes - Viewed (0)