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Results 11 - 20 of 22 for 1x8xbf16 (0.56 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/convert_xla_call_module_op_to_bfloat16.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 22:40:14 UTC 2024 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_quantized.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/convert_tensor.mlir
// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s func.func @main() -> (tensor<1x2xf16>, tensor<2xf16>) { %graph:2 = tf_executor.graph { %0:2 = tf_executor.island wraps "tf.Const"() {device = "", dtype = "tfdtype$DT_HALF", value = dense<1.0> : tensor<1x2xf16>} : () -> tensor<1x2xf16> loc("const1")
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/constant-fold.mlir
} func.func @RemoveTrivialAddBf16RHS(%arg0: tensor<2x2xbf16>) -> tensor<2x2xbf16> { %cst = arith.constant dense<0.0> : tensor<2x2xbf16> %0 = "tf.Add"(%arg0, %cst) : (tensor<2x2xbf16>, tensor<2x2xbf16>) -> tensor<2x2xbf16> func.return %0 : tensor<2x2xbf16> // CHECK-LABEL: RemoveTrivialAdd // CHECK-NEXT: return %arg0 : tensor<2x2xbf16> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 23:22:24 UTC 2024 - 36.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/ifrt/lower_to_ifrt_restore_variable.mlir
%1 = "tf.Cast"(%0) <{truncate = false}> : (tensor<3x1xf32>) -> tensor<3x1xbf16> %2 = "tf.VarHandleOp"() <{container = "", shared_name = "y"}> : () -> tensor<!tf_type.resource<tensor<3x1xbf16>>> "tf.AssignVariableOp"(%2, %1) : (tensor<!tf_type.resource<tensor<3x1xbf16>>>, tensor<3x1xbf16>) -> () return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 20:44:15 UTC 2024 - 8.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate_registration_test.cc
TEST_F(MlirTranslationTest, TranslatesMlirToGraph) { static constexpr char kMlirSource[] = R"( func.func @main() -> (tensor<1x2xf16>, tensor<2xf16>) { %graph:2 = tf_executor.graph { %0:2 = tf_executor.island wraps "tf.Const"() {device = "", dtype = "tfdtype$DT_HALF", value = dense<1.0> : tensor<1x2xf16>} : () -> tensor<1x2xf16> loc("const1")
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 20 23:11:32 UTC 2023 - 3.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/tf2xla_rewriter_test.cc
return %0 : tensor<1x?x4xbf16> } })"; TF_ASSERT_OK(LegalizeModule(kModuleWithNonConstParam)); } TEST_F(Tf2XlaRewriterTest, ErrorsWithInvalidNumberOfParametersToArgs) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:16:07 UTC 2024 - 11.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: %[[RESULT:.*]] = "tf.FloorMod"(%arg0, %arg1) : (tensor<192x8xbf16>, tensor<192x8xbf16>) -> tensor<192x8xbf16> // CHECK: return %[[RESULT]] // CHECK: } func.func @convert_floor_mod_float(%arg0: tensor<192x8xbf16>, %arg1: tensor<192x8xbf16>) -> tensor<192x8xbf16> { %0 = mhlo.constant dense<0.000000e+00> : tensor<192x8xbf16> %1 = mhlo.remainder %arg0, %arg1 : tensor<192x8xbf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// ----- // CHECK-LABEL: func @max func.func @max(%arg0: tensor<4x8xf16>) -> tensor<4x1xf16> { // CHECK: %[[CAST:.*]] = mhlo.convert %arg0 : tensor<4x8xf16> // CHECK: %[[INITIAL:.*]] = mhlo.constant dense<0xFC00> : tensor<f16> // CHECK: %[[REDUCED:.*]] = mhlo.reduce(%[[CAST]] init: %[[INITIAL]]) applies mhlo.maximum across dimensions = [1] : (tensor<4x8xf16>, tensor<f16>) -> tensor<4xf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
func.func @SparseSoftmaxCrossEntropyWithLogits_with_bf16_i64(%features: tensor<2x3xbf16>, %labels: tensor<2xi64>) -> (tensor<2xbf16>, tensor<2x3xbf16>) { // CHECK-NOT: tf.SparseSoftmaxCrossEntropyWithLogits %0:2 = "tf.SparseSoftmaxCrossEntropyWithLogits"(%features, %labels) : (tensor<2x3xbf16>, tensor<2xi64>) -> (tensor<2xbf16>, tensor<2x3xbf16>) func.return %0#0, %0#1 : tensor<2xbf16>, tensor<2x3xbf16> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0)