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tensorflow/compiler/mlir/tensorflow/tests/strip_tf_attributes.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 25 20:04:10 UTC 2022 - 1.5K 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/quantization/tensorflow/tests/prepare_quantize.mlir
} : (tensor<*xf32>, tensor<144x10xf32>, tensor<10xf32>) -> tensor<*xf32> %5 = "quantfork.qcast"(%4) : (tensor<*xf32>) -> tensor<*x!quant.uniform<i8:f32, 0.1>> %6 = "quantfork.dcast"(%5) : (tensor<*x!quant.uniform<i8:f32, 0.1>>) -> tensor<*xf32> func.return %6 : tensor<*xf32> } func.func private @composite_matmul_with_bias_fn_1(%a: tensor<*xf32>, %b: tensor<*xf32>, %c: tensor<*xf32>) -> tensor<*xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Dec 29 02:42:57 UTC 2022 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize_jax_random.mlir
func.func @tfl_wrapped_jax_random_normal(%arg0: tensor<2xui32>) -> tuple<tensor<3x4xf32>> { // This is a fake jax random normal body. %0 = stablehlo.constant dense<0.0> : tensor<12xf32> %1 = "stablehlo.reshape"(%0) : (tensor<12xf32>) -> tensor<3x4xf32> %2 = "stablehlo.tuple"(%1) : (tensor<3x4xf32>) -> tuple<tensor<3x4xf32>> func.return %2 : tuple<tensor<3x4xf32>> } // CHECK-LABEL: func @tfl_wrapped_jax_random_uniform(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla_selective_quantization.mlir
func.func @matmul_with_reshape_disable_quantization(%arg0: tensor<1x10xf32>, %arg1: tensor<10x10xf32>) -> (tensor<?x10xf32>) { %cst = "tf.Const"() {value = dense<0.000000e+00> : tensor<10xf32>} : () -> tensor<10xf32> %cst_0 = "tf.Const"() {value = dense<[-1, 10]> : tensor<2xi32>} : () -> tensor<2xi32> %1 = "tf.MatMul"(%arg0, %arg1) { transpose_a = false, transpose_b = false
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/order_by_dialect.mlir
%0 = mhlo.constant dense<0.000000e+00> : tensor<32x10xf32> %1 = mhlo.constant dense<0.000000e+00> : tensor<32x28x28x5xf32> %2 = "tf.ReadVariableOp"(%arg4) : (tensor<!tf_type.resource<tensor<10xf32>>>) -> tensor<10xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 7.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/ir/QuantizeUtils.cc
if (!quantDenseAttr) { return nullptr; } // Cast from an expressed-type-based type to storage-type-based type, // preserving the sparse shape (i.e. tensor<4xf32> -> tensor<4xi8>). ShapedType newSparseType = mlir::dyn_cast_or_null<ShapedType>( quantizedElementType.castExpressedToStorageType( realSparseAttr.getType())); if (!newSparseType) { return nullptr;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_ptq.mlir
%4 = "quantfork.stats"(%2) {layerStats = dense<[-2795.36523, 4609.57373]> : tensor<2xf32>} : (tensor<*xf32>) -> tensor<*xf32> %5 = "tf.BiasAdd"(%4, %3) {data_format = "NHWC", device = ""} : (tensor<*xf32>, tensor<2xf32>) -> tensor<*xf32> %6 = "quantfork.stats"(%5) {layerStats = dense<[-2788.31055, 4616.62842]> : tensor<2xf32>} : (tensor<*xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 01 10:21:29 UTC 2023 - 9.1K bytes - Viewed (0)