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tensorflow/compiler/mlir/quantization/tensorflow/tests/unfreeze_constants.mlir
%0 = "tf.Sub"(%cst_0, %cst_1) : (tensor<8xf32>, tensor<8xf32>) -> tensor<8xf32> return %0 : tensor<8xf32> } // CHECK: @serving_default // CHECK-DAG: %[[VAR_HANDLE_2:.*]] = "tf.VarHandleOp"() {{.*shared_name = "const_0".*}} : () -> tensor<!tf_type.resource<tensor<8xf32>>> // CHECK-DAG: %[[READ_VAR_0:.*]] = "tf.ReadVariableOp"(%[[VAR_HANDLE_2]]) : (tensor<!tf_type.resource<tensor<8xf32>>>) -> tensor<8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 17.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
// Use other output %3:6 = "tf.FusedBatchNormV3"( %2#0, %arg1, %arg2, %arg3, %arg4) {T = "tfdtype$DT_FLOAT", U = "tfdtype$DT_FLOAT", data_format = "NHWC", epsilon = 0.001 : f32, is_training = false} : (tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>) -> (tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: return %[[VAL_2]], %[[VAL_3]] : tensor<4xf32>, tensor<4xf32> // CHECK: } func.func @broadcast_atan2(%arg0: tensor<1xf32>, %arg1: tensor<4xf32>) -> (tensor<4xf32>, tensor<4xf32>) { %0 = "mhlo.broadcast_in_dim"(%arg0) <{broadcast_dimensions = dense<[0]> : tensor<1xi64>}> : (tensor<1xf32>) -> tensor<4xf32> %1 = mhlo.atan2 %0, %arg1 : tensor<4xf32> %2 = mhlo.atan2 %arg1, %0 : tensor<4xf32>
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-quant.mlir
func.return %2 : tensor<4xf32> } // ----- // CHECK-LABEL: func @uniform_quantize_requantize_and_dequantize_per_axis func.func @uniform_quantize_requantize_and_dequantize_per_axis(%arg0 : tensor<2x2xf32>) -> tensor<2x2xf32> { %scales_0 = "tf.Const"() { value = dense<[1.0, 2.0]> : tensor<2xf32> } : () -> tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 01:25:29 UTC 2024 - 37.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/pipelines/process_nchw_tensor.mlir
%0 = stablehlo.constant dense<2.000000e+00> : tensor<4x2x3x3xf32> // weight %1 = stablehlo.constant dense<3.000000e+00> : tensor<4xf32> // bias %2 = stablehlo.constant dense<0.000000e+00> : tensor<1x4x5x5xf32> // relu %3 = stablehlo.broadcast_in_dim %1, dims = [1] : (tensor<4xf32>) -> tensor<1x4x5x5xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 12.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/cc/const_op_size_test.cc
EXPECT_THAT(num_bytes, Eq(3)); } TEST_F(GetSizeInBytesTest, Float32ConstOpSizeInBytes) { constexpr absl::string_view kConstOpExpr = R"mlir(%cst = "tf.Const"() {value = dense<3.0> : tensor<4xf32>} : () -> tensor<4xf32>)mlir"; Block block{}; TF::ConstOp int_tensor_const_op = ParseConstOp(kConstOpExpr, block, ctx_); const int64_t num_bytes = GetSizeInBytes(int_tensor_const_op); EXPECT_THAT(num_bytes, Eq(16)); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 14 04:37:13 UTC 2022 - 5.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_executor_ops_invalid.mlir
// expected-error@-1 {{'tf_executor.Switch' op operand #1 must be tensor of 1-bit signless integer values}} tf_executor.fetch %true : tensor<*xf32> } func.return %result : tensor<*xf32> } // ----- // Check that a switch result type matches the input type. func.func @invalid_switch(%arg0: tensor<*xf32>, %arg1: tensor<i1>) -> tensor<*xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Oct 19 01:12:10 UTC 2023 - 28.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/defer_activation_transpose.mlir
func.func @add_with_activation_transpose_broadcasted_rhs(%arg0: tensor<1x3x3x4xf32>) -> tensor<1x4x3x3xf32> { %0 = stablehlo.constant dense<2.000000e+00> : tensor<4xf32> %1 = stablehlo.broadcast_in_dim %0, dims = [1] : (tensor<4xf32>) -> tensor<1x4x3x3xf32> %2 = stablehlo.transpose %arg0, dims = [0, 3, 1, 2] : (tensor<1x3x3x4xf32>) -> tensor<1x4x3x3xf32> %3 = stablehlo.add %2, %1 : tensor<1x4x3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 14.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-signed.mlir
%0 = "quantfork.stats"(%arg0) { layerStats = dense<[-1.28e-5, 1.27e-5]> : tensor<2xf32> } : (tensor<1x5x5x2xf32>) -> tensor<1x5x5x2xf32> %w = arith.constant dense<[[[[-1.0, 1.0]]], [[[1.0, 2.0]]], [[[-2.0, 1.0]]]]> : tensor<3x1x1x2xf32> %b = arith.constant dense<[1.0e-2, 2.1473647e1, -2.1473647e2]> : tensor<3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/tpu_conversions.mlir
%1 = "tf.TPUCompileMlirAndExecute"(%0) {metadata = "metadata", mlir_module = "mlir_module", operandSegmentSizes = array<i32: 1, 0>, producer_name = "producer_name"} : (tensor<f32>) -> tensor<i32> func.return %1 : tensor<i32> } // ----- func.func @executeop_input_same_execute_op(%arg0: tensor<i32>, %arg1: tensor<2xf32>) -> (tensor<i32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 04 21:25:31 UTC 2023 - 11K bytes - Viewed (0)