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tensorflow/compiler/mlir/tensorflow/tests/check_control_dependencies.mlir
%arg0: tensor<!tf_type.resource<tensor<f32>>>, %arg1: tensor<!tf_type.resource<tensor<f32>>>, %arg2: tensor<f32>) -> () { tf_executor.graph { // expected-warning@+1 {{unexpected control dependency path: path 0, node 0 (source)}} %island1 = tf_executor.island { "tf.AssignVariableOp"(%arg0, %arg2) : (tensor<!tf_type.resource<tensor<f32>>>, tensor<f32>) -> () tf_executor.yield }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 31 16:14:07 UTC 2022 - 8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/shape-inference-after-legalization.mlir
} } // CHECK-LABEL: HloModule main
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 23 18:56:13 UTC 2022 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/decompose-hybrid-quantization.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-nnapi.mlir
%0 = "tfl.pseudo_const"() {value = dense<[1, 2]> : tensor<2xi32>} : () -> tensor<2xi32> %1 = "tfl.mean"(%arg0, %0) {keep_dims = false} : (tensor<?x7x7x2048x!quant.uniform<i8:f32, 0.6:-128>>, tensor<2xi32>) -> tensor<?x2048x!quant.uniform<i8:f32, 0.6:-128>> func.return %1 : tensor<?x2048x!quant.uniform<i8:f32, 0.6:-128>> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/raise_to_tf.mlir
// CHECK: %[[id2:.*]] = "tf.RiscSame"(%arg2) : (tensor<f32>) -> tensor<*xf32> // CHECK: %[[es:.*]] = "tf.EnsureShape"(%[[id2]]) <{shape = #tf_type.shape<>}> : (tensor<*xf32>) -> tensor<f32> // CHECK: return %[[es]] : tensor<f32> } // CHECK-LABEL: decompose_tf_concat_n func.func @decompose_tf_concat_n(%arg0: tensor<f32>, %arg1: tensor<f32>, %arg2: tensor<f32>) -> tensor<3xf32> { %0 = "tfr.cast"(%arg0) : (tensor<f32>) -> !tfr.tensor
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize.mlir
%1 = stablehlo.constant dense<0x7FC00000> : tensor<f32> %2 = stablehlo.constant dense<6.000000e+00> : tensor<f32> %3 = stablehlo.constant dense<0.000000e+00> : tensor<f32> %4 = "stablehlo.add"(%0, %1) : (tensor<f32>, tensor<f32>) -> tensor<f32> %5 = stablehlo.clamp %3, %arg0, %2 : (tensor<f32>, tensor<?x112x112x64xf32>, tensor<f32>) -> tensor<?x112x112x64xf32> %6 = "stablehlo.reduce_window"(%5, %4) ({
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 19:52:06 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/shape-inference.mlir
// CHECK: "tfl.unidirectional_sequence_lstm"(%arg0,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range.mlir
// CHECK: %[[dq_w:.*]] = "tfl.dequantize"(%[[q_w]]) : (tensor<64x3x3x3x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>) -> tensor<64x3x3x3xf32> // CHECK: %[[emb:.*]] = "tfl.gather"(%[[dq_w]], %arg0) // CHECK: return %[[emb:.*]] // PerTensor: %[[q_w:.*]] = "tfl.pseudo_qconst"() <{qtype = tensor<64x3x3x3x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 23 21:09:00 UTC 2024 - 23.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/constant-folding.mlir
// CHECK: %[[ARG_TUPLE]] = (f32[10,19]{1,0}, f32[19,10]{1,0}) parameter(0), parameter_replication={false,true} // CHECK: [[ARG0:%.*]] = f32[10,19]{1,0} get-tuple-element((f32[10,19]{1,0}, f32[19,10]{1,0}) %[[ARG_TUPLE]]), index=0 // CHECK: [[ARG1:%.*]] = f32[19,10]{1,0} get-tuple-element((f32[10,19]{1,0}, f32[19,10]{1,0}) %[[ARG_TUPLE]]), index=1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jul 25 02:54:34 UTC 2023 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// ----- // CHECK-LABEL: @clip func.func @clip(%arg0 : tensor<f32>, %arg1 : tensor<f32>, %arg2 : tensor<f32>) -> tensor<f32> { // CHECK: [[VAL:%.+]] = mhlo.clamp %arg1, %arg0, %arg2 %0 = "tf.ClipByValue"(%arg0, %arg1, %arg2) : (tensor<f32>, tensor<f32>, tensor<f32>) -> tensor<f32> // CHECK: return [[VAL]] func.return %0 : tensor<f32> } // ----- // CHECK-LABEL: @clip_dynamic
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)