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tensorflow/compiler/mlir/lite/tests/optimize_batch_matmul.mlir
func.func @FuseTransposeFCRhsToBatchMatmul(%arg0: tensor<16x1024xf32>, %arg1: tensor<1024x128xf32>, %arg2: none) -> tensor<16x128xf32> { %cst = arith.constant dense<[1, 0]> : tensor<2xi32> %0 = "tfl.transpose"(%arg1, %cst) : (tensor<1024x128xf32>, tensor<2xi32>) -> tensor<128x1024xf32> // CHECK: "tfl.batch_matmul"(%arg0, %arg1)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
// CHECK: %[[dw:.*]] = "tfl.depthwise_conv_2d"(%arg0, %arg1, %arg2) // CHECK: %[[q:.*]] = "tfl.quantize"(%[[dw]]) // CHECK: %[[dq:.*]] = "tfl.dequantize"(%[[q]]) // CHECK: return %[[dq]], %[[dq]] } // Series of values needing requantization -- first the args then the results // of concatenation operations. concat(concat(arg2, arg0), concat(arg1, arg0)), // concat(concat(arg2, arg0), arg3)). arg0 should be requantized twice --
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize_no_verify.mlir
%0 = "tfl.maximum"(%arg0, %cst) : (tensor<2x3xbf16>, tensor<2x3xbf16>) -> tensor<2x3xbf16> func.return %0 : tensor<2x3xbf16> // CHECK: %[[RESULT:.*]] = "tfl.relu"(%arg0) // CHECK: return %[[RESULT]] } // CHECK-LABEL: fuseScalarAddIntoConv2dBf16 func.func @fuseScalarAddIntoConv2dBf16(%arg0: tensor<256x32x32x3xbf16>, %arg1: tensor<16x3x3x3xbf16>) -> tensor<256x8x7x16xbf16> { %cst = arith.constant dense<1.5> : tensor<bf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 5.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: return %[[VAL_3]] : tensor<2xf32> // CHECK: } func.func @floordiv_f32(%arg0: tensor<2xf32>) -> tensor<2xf32> { %0 = mhlo.divide %arg0, %arg0 : tensor<2xf32> %1 = mhlo.divide %arg0, %arg0 : tensor<2xf32> %2 = "mhlo.floor"(%1) : (tensor<2xf32>) -> tensor<2xf32> func.return %2 : tensor<2xf32> } // CHECK-LABEL: func @floordiv_f16_broadcast(
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/tfrt/tests/reconfig_batch_op.mlir
// CHECK-LABEL: func private @batched_function func.func private @batched_function(%arg0: tensor<1x3xf32>) -> tensor<1x3xf32> { %2 = "tf.Identity"(%arg0) : (tensor<1x3xf32>) -> tensor<1x3xf32> func.return %2 : tensor<1x3xf32> } // CHECK-LABEL: func @main func.func @main(%arg0: tensor<1x3xf32>) -> tensor<*xf32> { // CHECK: "tf.BatchFunction" // CHECK-SAME: allowed_batch_sizes = [6]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 17:38:34 UTC 2024 - 5.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir
} func.func private @composite_dot_general_fn(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<1x3xf32> attributes {_from_xla_call_module} { %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0] : (tensor<1x2xf32>, tensor<2x3xf32>) -> tensor<1x3xf32> return %0 : tensor<1x3xf32> } } // CHECK-LABEL: quantize_dot_general_per_tensor // CHECK-SAME: %[[ARG0:.+]]: tensor<1x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_rewrite.mlir
func.func @replicated_model_parallel_execute_tpu_cluster_func(%arg0: tensor<?xi32>) -> tensor<?xi32> { // CHECK: %[[A_OUTPUT:[0-9]*]] = "tf.A" %0 = "tf.A"(%arg0) : (tensor<?xi32>) -> tensor<?xi32> // CHECK: %[[REPLICATE:[0-9]*]]:4 = tf_device.replicate %1:4 = tf_device.replicate([%0, %arg0, %arg0, %arg0] as %ri_0: tensor<?xi32>) {n = 4 : i32} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 172.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-serialize-stablehlo.mlir
module { func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> { %1 = arith.constant dense<1> : tensor<1xi32> %2 = arith.constant dense<2.0> : tensor<1x1x2xf32> %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""} : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32> func.return %3 : tensor<2x1x2xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 18:33:43 UTC 2024 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_cluster_formation.mlir
%0 = "tf.TPUReplicatedInput"(%arg0, %arg0) : (!tf_res, !tf_res) -> !tf_res %1 = "tf.TPUReplicatedInput"(%arg0, %arg0) : (!tf_res, !tf_res) -> !tf_res %2 = "tf.TPUReplicatedInput"(%arg0, %arg0) : (!tf_res, !tf_res) -> !tf_res %3 = "tf.ReadVariableOp"(%0) {_xla_compile_device_type = "TPU", _replication_info = "a"} : (!tf_res) -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 53.9K bytes - Viewed (0)